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author | edwardgao <edwardgao@9a26d1b7-1c8f-445c-8fdd-6576f508279d> | 2010-01-25 14:36:10 +0300 |
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committer | edwardgao <edwardgao@9a26d1b7-1c8f-445c-8fdd-6576f508279d> | 2010-01-25 14:36:10 +0300 |
commit | 3bbabd8fcd108dd70c3ea7008801cc3b0436ea76 (patch) | |
tree | eed7a19d0d368cc09f87736b0f38022a9060bd67 | |
parent | cbd81f086b89af9bab24716ac4ca69249bd8ab5b (diff) |
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-rw-r--r-- | v0.6.4/src/transpair_model5.h (renamed from experimental/alignment-enabled/MGIZA/src/transpair_model5.h) | 0 | ||||
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-rw-r--r-- | v0.6.4/src/ttableDiff.hpp (renamed from experimental/alignment-enabled/MGIZA/src/ttableDiff.hpp) | 0 | ||||
-rw-r--r-- | v0.6.4/src/types.h (renamed from experimental/alignment-enabled/MGIZA/src/types.h) | 0 | ||||
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340 files changed, 0 insertions, 58195 deletions
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Generated from configure.ac by autoheader. */ - -/* Name of package */ -#define PACKAGE "mgiza" - -/* Define to the address where bug reports for this package should be sent. */ -#define PACKAGE_BUGREPORT "" - -/* Define to the full name of this package. */ -#define PACKAGE_NAME "mgiza" - -/* Define to the full name and version of this package. */ -#define PACKAGE_STRING "mgiza 1.0" - -/* Define to the one symbol short name of this package. */ -#define PACKAGE_TARNAME "mgiza" - -/* Define to the version of this package. */ -#define PACKAGE_VERSION "1.0" - -/* Define to 1 if you have the ANSI C header files. */ -#define STDC_HEADERS 1 - -/* Version number of package */ -#define VERSION "1.0" diff --git a/experimental/alignment-enabled/MGIZA/config.log b/experimental/alignment-enabled/MGIZA/config.log deleted file mode 100644 index 0771904..0000000 --- a/experimental/alignment-enabled/MGIZA/config.log +++ /dev/null @@ -1,407 +0,0 @@ -This file contains any messages produced by compilers while -running configure, to aid debugging if configure makes a mistake. - -It was created by mgiza configure 1.0, which was -generated by GNU Autoconf 2.62. 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See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#ifndef NO_TRAINING -#include "ForwardBackward.h" -#include "Globals.h" -#include "myassert.h" -#include "HMMTables.h" -#include "mymath.h" - -double ForwardBackwardTraining(const HMMNetwork&net, Array<double>&g, Array< - Array2<double> >&E) { - const int I = net.size1(), J = net.size2(), N = I * J; - Array<double> alpha(N, 0), beta(N, 0), sum(J); - for (int i = 0; i < I; i++) - beta[N - I + i] = net.getBetainit(i); - double * cur_beta = conv<double> (beta.begin()) + N - I - 1; - for (int j = J - 2; j >= 0; --j) - for (int ti = I - 1; ti >= 0; --ti, --cur_beta) { - const double *next_beta = conv<double> (beta.begin()) + (j + 1) * I; - const double *alprob = &net.outProb(j, ti, 0), *next_node = - &net.nodeProb(0, j + 1); - for (int ni = 0; ni < I; ++ni, (next_node += J)) { - massert(cur_beta<next_beta&& &net.outProb(j,ti,ni)==alprob); - massert(next_node == &net.nodeProb(ni,j+1)); - /* if( VERB&&(*next_beta)*(*alprob)*(*next_node) ) - cout << "B= " << (int)(cur_beta-beta.begin()) << " += " << (*next_beta) << "(" - << next_beta-beta.begin() << ") alprob:" << (*alprob) << " lexprob:" << (*next_node) << endl;*/ - (*cur_beta) += (*next_beta++) * (*alprob++) * (*next_node); - } - } - for (int i = 0; i < I; i++) - alpha[i] = net.getAlphainit(i) * net.nodeProb(i, 0); - double* cur_alpha = conv<double> (alpha.begin()) + I; - cur_beta = conv<double> (beta.begin()) + I; - for (int j = 1; j < J; j++) { - Array2<double>&e = E[(E.size() == 1) ? 0 : (j - 1)]; - if ((E.size() != 1) || j == 1) { - e.resize(I, I); - fill(e.begin(), e.end(), 0.0); - } - - for (int ti = 0; ti < I; ++ti, ++cur_alpha, ++cur_beta) { - const double * prev_alpha = conv<double> (alpha.begin()) + I * (j - - 1); - double *cur_e = &e(ti, 0); - double this_node = net.nodeProb(ti, j); - const double* alprob = &net.outProb(j - 1, 0, ti); - for (int pi = 0; pi < I; ++pi, ++prev_alpha, (alprob += I)) { - massert(prev_alpha<cur_alpha&& &net.outProb(j-1,pi,ti)==alprob); - massert(&e(ti,pi)==cur_e); - const double alpha_increment = *prev_alpha * (*alprob) - * this_node; - (*cur_alpha) += alpha_increment; - (*cur_e++) += alpha_increment * (*cur_beta); - } - } - } - g.resize(N); - transform(alpha.begin(), alpha.end(), beta.begin(), g.begin(), multiplies< - double> ()); - double bsum = 0, esum = 0, esum2; - for (int i = 0; i < I; i++) - bsum += beta[i] * net.nodeProb(i, 0) * net.getAlphainit(i); - for (unsigned int j = 0; j < (unsigned int) E.size(); j++) { - Array2<double>&e = E[j]; - const double *epe = e.end(); - for (const double*ep = e.begin(); ep != epe; ++ep) - esum += *ep; - } - if (J > 1) - esum2 = esum / (J - 1); - else - esum2 = 0.0; - if (!(esum2 == 0.0 || mfabs(esum2 - bsum) / bsum < 1e-3 * I)) - cout << "ERROR2: " << esum2 << " " << bsum << " " << esum << net - << endl; - double * sumptr = conv<double> (sum.begin()); - double* ge = conv<double> (g.end()); - for (double* gp = conv<double> (g.begin()); gp != ge; gp += I) { - *sumptr++ = normalize_if_possible(gp, gp + I); - if (bsum && !(mfabs((*(sumptr - 1) - bsum) / bsum) < 1e-3 * I)) - cout << "ERROR: " << *(sumptr - 1) << " " << bsum << " " << mfabs( - (*(sumptr - 1) - bsum) / bsum) << ' ' << I << ' ' << J - << endl; - } - for (unsigned int j = 0; j < (unsigned int) E.size(); j++) { - Array2<double>&e = E[j]; - double* epe = e.end(); - if (esum) - for (double*ep = e.begin(); ep != epe; ++ep) - *ep /= esum; - else - for (double*ep = e.begin(); ep != epe; ++ep) - *ep /= 1.0 / (max(I * I, I * I * (J - 1))); - } - if (sum.size()) - return sum[0]; - else - return 1.0; -} -void HMMViterbi(const HMMNetwork&net, Array<int>&vit) { - const int I = net.size1(), J = net.size2(); - vit.resize(J); - Array<double> g; - Array<Array2<double> > e(1); - ForwardBackwardTraining(net, g, e); - for (int j = 0; j < J; j++) { - double * begin = conv<double> (g.begin()) + I * j; - vit[j] = max_element(begin, begin + I) - begin; - } -} -void HMMViterbi(const HMMNetwork&net, Array<double>&g, Array<int>&vit) { - const int I = net.size1(), J = net.size2(); - vit.resize(J); - for (int j = 0; j < J; j++) { - double* begin = conv<double> (g.begin()) + I * j; - vit[j] = max_element(begin, begin + I) - begin; - } -} - -double HMMRealViterbi(const HMMNetwork&net, Array<int>&vitar, int pegi, - int pegj, bool verbose) { - const int I = net.size1(), J = net.size2(), N = I * J; - Array<double> alpha(N, -1); - Array<double*> bp(N, (double*) 0); - vitar.resize(J); - if (J == 0) - return 1.0; - for (int i = 0; i < I; i++) { - alpha[i] = net.getAlphainit(i) * net.nodeProb(i, 0); - if (i > I / 2) - alpha[i] = 0; // only first empty word can be chosen - bp[i] = 0; - } - double *cur_alpha = conv<double> (alpha.begin()) + I; - double **cur_bp = conv<double*> (bp.begin()) + I; - for (int j = 1; j < J; j++) { - if (pegj + 1 == j) - for (int ti = 0; ti < I; ti++) - if ((pegi != -1 && ti != pegi) || (pegi == -1 && ti < I / 2)) - (cur_alpha - I)[ti] = 0.0; - for (int ti = 0; ti < I; ++ti, ++cur_alpha, ++cur_bp) { - double* prev_alpha = conv<double> (alpha.begin()) + I * (j - 1); - double this_node = net.nodeProb(ti, j); - const double *alprob = &net.outProb(j - 1, 0, ti); - for (int pi = 0; pi < I; ++pi, ++prev_alpha, (alprob += I)) { - massert(prev_alpha<cur_alpha&& &net.outProb(j-1,pi,ti)==alprob); - const double alpha_increment = *prev_alpha * (*alprob) - * this_node; - if (alpha_increment > *cur_alpha) { - (*cur_alpha) = alpha_increment; - (*cur_bp) = prev_alpha; - } - } - } - } - for (int i = 0; i < I; i++) - alpha[N - I + i] *= net.getBetainit(i); - if (pegj == J - 1) - for (int ti = 0; ti < I; ti++) - if ((pegi != -1 && ti != pegi) || (pegi == -1 && ti < I / 2)) - (alpha)[N - I + ti] = 0.0; - - int j = J - 1; - cur_alpha = conv<double> (alpha.begin()) + j * I; - vitar[J - 1] = max_element(cur_alpha, cur_alpha + I) - cur_alpha; - double ret = *max_element(cur_alpha, cur_alpha + I); - while (bp[vitar[j] + j * I]) { - cur_alpha -= I; - vitar[j - 1] = bp[vitar[j] + j * I] - cur_alpha; - massert(vitar[j-1]<I&&vitar[j-1]>=0); - j--; - } - massert(j==0); - if (verbose) { - cout << "VERB:PEG: " << pegi << ' ' << pegj << endl; - for (int j = 0; j < J; j++) - cout << "NP " << net.nodeProb(vitar[j], j) << ' ' << "AP " << ((j - == 0) ? net.getAlphainit(vitar[j]) : net.outProb(j - 1, - vitar[j - 1], vitar[j])) << " j:" << j << " i:" << vitar[j] - << "; "; - cout << endl; - } - return ret; -} - -double MaximumTraining(const HMMNetwork&net, Array<double>&g, Array<Array2< - double> >&E) { - Array<int> vitar; - double ret = HMMRealViterbi(net, vitar); - const int I = net.size1(), J = net.size2(); - if (E.size() == 1) { - Array2<double>&e = E[0]; - e.resize(I, I); - g.resize(I * J); - fill(g.begin(), g.end(), 0.0); - fill(e.begin(), e.end(), 0.0); - for (int i = 0; i < J; ++i) { - g[i * I + vitar[i]] = 1.0; - if (i > 0) - e(vitar[i], vitar[i - 1])++; - } - } else { - g.resize(I * J); - fill(g.begin(), g.end(), 0.0); - for (int i = 0; i < J; ++i) { - g[i * I + vitar[i]] = 1.0; - if (i > 0) { - Array2<double>&e = E[i - 1]; - e.resize(I, I); - fill(e.begin(), e.end(), 0.0); - e(vitar[i], vitar[i - 1])++; - } - } - } - return ret; -} - -#endif - diff --git a/experimental/alignment-enabled/MGIZA/src/Makefile b/experimental/alignment-enabled/MGIZA/src/Makefile deleted file mode 100644 index 5043fd1..0000000 --- a/experimental/alignment-enabled/MGIZA/src/Makefile +++ /dev/null @@ -1,1407 +0,0 @@ -# Makefile.in generated by automake 1.10.1 from Makefile.am. -# src/Makefile. 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-Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "MoveSwapMatrix.h" - -template<class TRANSPAIR> -MoveSwapMatrix<TRANSPAIR>::MoveSwapMatrix(const TRANSPAIR&_ef, const alignment&_a) - : alignment(_a), ef(_ef), l(ef.get_l()), m(ef.get_m()), _cmove(l+1, m+1), _cswap(m+1, m+1), - delmove(l+1, m+1,0),delswap(m+1, m+1,0),changed(l+2, 0), changedCounter(1), - modelnr(_ef.modelnr()),lazyEvaluation(0),centerDeleted(0) -{ - double thisValue=ef.scoreOfAlignmentForChange((*this)); - if( lazyEvaluation==0) - for(WordIndex j=1;j<=m;j++)updateJ(j, 0,thisValue); -} - -template<class TRANSPAIR> -void MoveSwapMatrix<TRANSPAIR>::updateJ(WordIndex j, bool useChanged,double thisValue) -{ - massert( lazyEvaluation==0 ); - for(WordIndex i=0;i<=l;i++) - if( (useChanged==0||changed[i]!=changedCounter) ) - if( get_al(j)!=i ) - _cmove(i, j)=ef.scoreOfMove((*this), i, j,thisValue); - else - _cmove(i, j)=1.0; - for(WordIndex j2=j+1;j2<=m;j2++) - if( get_al(j)!=get_al(j2) ) - _cswap(j, j2)=ef.scoreOfSwap((*this), j, j2,thisValue); - else - _cswap(j, j2)=1.0; - for(WordIndex j2=1;j2<j;j2++) - if( get_al(j)!=get_al(j2) ) - _cswap(j2, j)=ef.scoreOfSwap((*this), j2, j,thisValue); - else - _cswap(j2, j)=1.0; -} -template<class TRANSPAIR> -void MoveSwapMatrix<TRANSPAIR>::updateI(WordIndex i,double thisValue) -{ - massert( lazyEvaluation==0); - for(WordIndex j=1;j<=m;j++) - if( get_al(j)!=i ) - _cmove(i, j)=ef.scoreOfMove((*this), i, j,thisValue); - else - _cmove(i, j)=1.0; -} - -template<class TRANSPAIR> -void MoveSwapMatrix<TRANSPAIR>::printWrongs()const{ - for(WordIndex i=0;i<=l;i++) - { - for(WordIndex j=1;j<=m;j++) - if( get_al(j)==i) - cout << "A"; - else - { - LogProb real=_cmove(i, j), wanted=ef.scoreOfMove((*this), i, j); - if( fabs(1.0-real/wanted)>1e-3 ) - cout << 'b'; - else if(fabs(1.0-real/wanted)>1e-10 ) - cout << 'e'; - else if(real!=wanted) - cout << 'E'; - else - cout << ' '; - } - cout << endl; - } - cout << endl; - for(WordIndex j=1;j<=m;j++) - { - for(WordIndex j1=1;j1<=m;j1++) - if( j1>j ) - { - if( get_al(j)==get_al(j1) ) - cout << 'A'; - else - cout << (_cswap(j, j1)==ef.scoreOfSwap((*this), j, j1)); - } - else - cout << ' '; - cout << endl; - } - massert(0); -} -template<class TRANSPAIR> -bool MoveSwapMatrix<TRANSPAIR>::isRight()const{ - if( lazyEvaluation ) - return 1; - for(WordIndex i=0;i<=l;i++) - for(WordIndex j=1;j<=m;j++) - if( get_al(j)!=i && (!(doubleEqual(_cmove(i, j), ef.scoreOfMove((*this), i, j)))) ) - { - cerr << "DIFF: " << i << " " << j << " " << _cmove(i, j) << " " << ef.scoreOfMove((*this), i, j) << endl; - return 0; - } - for(WordIndex j=1;j<=m;j++) - for(WordIndex j1=1;j1<=m;j1++) - if( j1>j&&get_al(j)!=get_al(j1)&&(!doubleEqual(_cswap(j, j1), ef.scoreOfSwap((*this), j, j1))) ) - { - cerr << "DIFFERENT: " << j << " " << j1 << " " << _cswap(j, j1) << " " << ef.scoreOfSwap((*this), j, j1) << endl; - return 0; - } - return 1; -} - -template<class TRANSPAIR> -void MoveSwapMatrix<TRANSPAIR>::doMove(WordIndex _i, WordIndex _j) -{ - WordIndex old_i=get_al(_j); - if(old_i>100){ - cerr << "Error, invalid index set"; - return; - } - if( lazyEvaluation ) - set(_j,_i); - else - { - if ( modelnr==5||modelnr==6 ) - { - set(_j, _i); - double thisValue=ef.scoreOfAlignmentForChange((*this)); - for(WordIndex j=1;j<=m;j++)updateJ(j, 0,thisValue); - } - else if ( modelnr==4 ) - { - changedCounter++; - for(unsigned int k=prev_cept(old_i);k<=next_cept(old_i);++k)changed[k]=changedCounter; - for(unsigned int k=prev_cept(_i);k<=next_cept(_i);++k)changed[k]=changedCounter; - set(_j, _i); - for(unsigned int k=prev_cept(old_i);k<=next_cept(old_i);++k)changed[k]=changedCounter; - for(unsigned int k=prev_cept(_i);k<=next_cept(_i);++k)changed[k]=changedCounter; - double thisValue=ef.scoreOfAlignmentForChange((*this)); - for(unsigned int i=0;i<=l;i++) - if(changed[i]==changedCounter) - updateI(i,thisValue); - for(unsigned int j=1;j<=m;j++) - if( changed[get_al(j)]==changedCounter ) - updateJ(j, 1,thisValue); - } - else - { - assert(modelnr==3); - set(_j, _i); - changedCounter++; - double thisValue=ef.scoreOfAlignmentForChange((*this)); - updateI(old_i,thisValue); - changed[old_i]=changedCounter; - updateI(_i,thisValue); - changed[_i]=changedCounter; - for(WordIndex j=1;j<=m;j++) - if( get_al(j)==_i || get_al(j)==old_i ) - updateJ(j, 1,thisValue); - } - } -} -template<class TRANSPAIR> -void MoveSwapMatrix<TRANSPAIR>::doSwap(WordIndex _j1, WordIndex _j2) -{ - assert( cswap(_j1, _j2)>1 ); - WordIndex i1=get_al(_j1), i2=get_al(_j2); - if( lazyEvaluation==1 ) - { - set(_j1, i2); - set(_j2, i1); - } - else - { - if ( modelnr==5||modelnr==6 ) - { - set(_j1, i2); - set(_j2, i1); - double thisValue=ef.scoreOfAlignmentForChange((*this)); - for(WordIndex j=1;j<=m;j++)updateJ(j, 0,thisValue); - } - else if( modelnr==4 ) - { - changedCounter++; - for(unsigned int k=prev_cept(i1);k<=next_cept(i1);++k)changed[k]=changedCounter; - for(unsigned int k=prev_cept(i2);k<=next_cept(i2);++k)changed[k]=changedCounter; - set(_j1, i2); - set(_j2, i1); - double thisValue=ef.scoreOfAlignmentForChange((*this)); - for(unsigned int i=0;i<=l;i++) - if(changed[i]==changedCounter) - updateI(i,thisValue); - for(unsigned int j=1;j<=m;j++) - if( changed[get_al(j)]==changedCounter ) - updateJ(j, 1,thisValue); - } - else - { - assert(modelnr==3); - set(_j1, i2); - set(_j2, i1); - changedCounter++; - double thisValue=ef.scoreOfAlignmentForChange((*this)); - updateI(i1,thisValue); - changed[i1]=changedCounter; - updateI(i2,thisValue); - changed[i2]=changedCounter; - updateJ(_j1, 1,thisValue); - updateJ(_j2, 1,thisValue); - } - } -} - -#include "transpair_model3.h" -#include "transpair_model4.h" -#include "transpair_model5.h" -#include "transpair_modelhmm.h" -template class MoveSwapMatrix<transpair_model3>; -template class MoveSwapMatrix<transpair_model4>; -template class MoveSwapMatrix<transpair_model5>; -template class MoveSwapMatrix<transpair_modelhmm>; diff --git a/experimental/alignment-enabled/MGIZA/src/MoveSwapMatrix.h b/experimental/alignment-enabled/MGIZA/src/MoveSwapMatrix.h deleted file mode 100644 index 55f2724..0000000 --- a/experimental/alignment-enabled/MGIZA/src/MoveSwapMatrix.h +++ /dev/null @@ -1,162 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -/*-- - MoveSwapMatrix: Efficient representation for moving and swapping - around in IBM3 training. - Franz Josef Och (30/07/99) - --*/ -#ifndef moveswap2_costs_h_defined -#define moveswap2_costs_h_defined -#include "alignment.h" -#include "transpair_model3.h" -#include "myassert.h" -#include <set> -#include <map> -#include <vector> - -extern short DoViterbiTraining; - -template<class TRANSPAIR> -class MoveSwapMatrix: public alignment { -private: - const TRANSPAIR&ef; - const WordIndex l, m; - Array2<LogProb, Vector<LogProb> > _cmove, _cswap; - Array2<char, Vector<char> > delmove, delswap; - Vector<int> changed; - int changedCounter; - const int modelnr; - bool lazyEvaluation; - bool centerDeleted; - std::map<int,std::set<int> >untouch_i; // target words that should not be aligned anywhere - std::map<int,std::set<int> > untouch_j; -public: - void addUnTouchI(int i, int j){ - if(i>0){ - if(untouch_i.find(i)==untouch_i.end()){ - untouch_i[i] = std::set<int>(); - } - untouch_i[i].insert(j); - - } - } - - void addUnTouchJ(int j,int i){ - if(j>0){ - if(untouch_j.find(j)==untouch_j.end()){ - untouch_j[j] = std::set<int>(); - } - untouch_j[j].insert(i); - } - } - - bool check() const { - return 1; - } - const TRANSPAIR&get_ef() const { - return ef; - } - bool isCenterDeleted() const { - return centerDeleted; - } - bool isLazy() const { - return lazyEvaluation; - } - MoveSwapMatrix(const TRANSPAIR&_ef, const alignment&_a); - void updateJ(WordIndex j, bool, double thisValue); - void updateI(WordIndex i, double thisValue); - void doMove(WordIndex _i, WordIndex _j); - void doSwap(WordIndex _j1, WordIndex _j2); - void delCenter() { - centerDeleted = 1; - } - void delMove(WordIndex x, WordIndex y) { - delmove(x, y) = 1; - } - void delSwap(WordIndex x, WordIndex y) { - massert(y>x); - delswap(x, y) = 1; - delswap(y, x) = 1; - } - bool isDelMove(WordIndex x, WordIndex y) const { - return DoViterbiTraining || delmove(x, y); - } - bool isDelSwap(WordIndex x, WordIndex y) const { - massert(y>x); - return DoViterbiTraining || delswap(x, y); - } - LogProb cmove(WordIndex x, WordIndex y) const { - massert( get_al(y)!=x ); - massert( delmove(x,y)==0 ); - if (lazyEvaluation) - return ef.scoreOfMove(*this, x, y); - else { - std::map<int, std::set<int> >::const_iterator it; - - it = untouch_i.find(x); - if(it!=untouch_i.end()){ - // Return -1 if the j jump set is not within the limit - if(it->second.find(y) == it->second.end()) //Not in the feasible set - return -1; - } - it = untouch_j.find(y); - if(it!=untouch_j.end()){ - if(it->second.find(x) == it->second.end()) //Not in the feasible set - return -1; - } - return _cmove(x, y); - } - } - LogProb cswap(WordIndex x, WordIndex y) const { - massert(x<y); - massert(delswap(x,y)==0); - massert(get_al(x)!=get_al(y)); - if (lazyEvaluation) - return ef.scoreOfSwap(*this, x, y); - else { - massert(y>x); - std::map<int, std::set<int> >::const_iterator it1,it2; - it1 =untouch_j.find(y); - it2 = untouch_j.find(x); - int nal1 = get_al(y); - int nal2 = get_al(x); // Need to test if nal1 is in it2's feasible set - // and vice versa - - if(it1!=untouch_j.end()&&it1->second.find(nal2)==it1->second.end()){ - return -1; - } - if(it2!=untouch_j.end()&&it2->second.find(nal1)==it2->second.end()){ - return -1; - } - // Make sure we never swap these - return _cswap(x, y); - } - } - void printWrongs() const; - bool isRight() const; - friend ostream&operator<<(ostream&out, const MoveSwapMatrix<TRANSPAIR>&m) { - return out << (alignment) m << "\nEF:\n" << m.ef << "\nCMOVE\n" - << m._cmove << "\nCSWAP\n" << m._cswap << endl; - } - ; -}; -#endif diff --git a/experimental/alignment-enabled/MGIZA/src/collCounts.cpp b/experimental/alignment-enabled/MGIZA/src/collCounts.cpp deleted file mode 100644 index 051d8cc..0000000 --- a/experimental/alignment-enabled/MGIZA/src/collCounts.cpp +++ /dev/null @@ -1,304 +0,0 @@ -/* - - Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - - This file is part of GIZA++ ( extension of GIZA ). - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#include "alignment.h" -#include "transpair_model3.h" -#include <map> -#include "collCounts.h" -#include "MoveSwapMatrix.h" -#include "D5Tables.h" -#include "transpair_model5.h" -#include "transpair_modelhmm.h" -#include "Parameter.h" - -extern float COUNTINCREASE_CUTOFF_AL; -// unifies collectCountsOverAlignments and findAlignmentNeighborhood FJO-20/07/99 -template<class TRANSPAIR> int collectCountsOverNeighborhood( - const MoveSwapMatrix<TRANSPAIR>&msc, LogProb ascore, - Array2<LogProb,Vector<LogProb> >&dtcount, - Array2<LogProb,Vector<LogProb> >&ncount, LogProb&p1count, - LogProb&p0count, LogProb&total_count) { - int nAl=0; - const PositionIndex l=msc.get_l(), m=msc.get_m(); - Array2<LogProb,Vector<LogProb> > cmove(l+1, m+1), cswap(l+1, m+1); - Vector<LogProb> negmove(m+1),negswap(m+1),plus1fert(l+1),minus1fert(l+1); - LogProb total_move, total_swap; - if (msc.isCenterDeleted()==0) { - total_move+=ascore; - nAl++; - } - for (PositionIndex j=1; j<=m; j++) { - for (PositionIndex i=0; i<=l; i++) { - if (msc(j)!=i && !msc.isDelMove(i, j) ) { - double cm = msc.cmove(i, j); - if(cm<0) - continue; - LogProb newscore=ascore*cm; - total_move+=newscore; - nAl++; - cmove(i, j)+=newscore; - negmove[j]+=newscore; - plus1fert[i]+=newscore; - minus1fert[msc(j)]+=newscore; - } - } - } - for (PositionIndex j1=1; j1<=m; j1++) { - for (PositionIndex j2=j1+1; j2<=m; j2++) { - if (msc(j1)!=msc(j2) && !msc.isDelSwap(j1, j2) ) { - double cs = msc.cswap(j1, j2); - if(cs < 0){ - continue; - } - LogProb newscore=ascore*cs; - total_swap+=newscore; - nAl++; - cswap(msc(j1), j2)+=newscore; - cswap(msc(j2), j1)+=newscore; - negswap[j1]+=newscore; - negswap[j2]+=newscore; - } - } - } - total_count+=total_move+total_swap; - for (PositionIndex j=1; j<=m; j++) - for (PositionIndex i=0; i<=l; i++) - dtcount(i, j) += ((i==msc(j)) ? (total_count - -(negmove[j]+negswap[j])) : (cswap(i, j)+cmove(i, j))); - for (PositionIndex i=1; i<=l; i++) { - LogProb temp=minus1fert[i]+plus1fert[i]; - if (msc.fert(i)<MAX_FERTILITY) - ncount(i, msc.fert(i))+=total_count-temp; - if (msc.fert(i)>0&&msc.fert(i)-1<MAX_FERTILITY) - ncount(i, msc.fert(i)-1)+=minus1fert[i]; - else if (minus1fert[i]!=0.0) - cerr << "ERROR: M1Fa: " << minus1fert[i] << ' ' << i << ' ' - << msc.fert(i)<< endl; - if (msc.fert(i)+1<MAX_FERTILITY) - ncount(i, msc.fert(i)+1)+=plus1fert[i]; - } - LogProb temp=minus1fert[0]+plus1fert[0]; - p1count += (total_count-temp)*(LogProb)msc.fert(0); - p0count += (total_count-temp)*(LogProb)(m-2*msc.fert(0)); - if (msc.fert(0)>0) { - p1count += (minus1fert[0])*(LogProb)(msc.fert(0)-1); - p0count += (minus1fert[0])*(LogProb)(m-2*(msc.fert(0)-1)); - } else if (minus1fert[0]!=0.0) - cerr << "ERROR: M1Fb: " << minus1fert[0] << endl; - if (int(m)-2*(int(msc.fert(0))+1)>=0) { - p1count += (plus1fert[0])*(LogProb)(msc.fert(0)+1); - p0count += (plus1fert[0])*(LogProb)(m-2*(msc.fert(0)+1)); - } - msc.check(); - return nAl; -} -; - -template<class TRANSPAIR> double collectCountsOverNeighborhoodForSophisticatedModels( - const MoveSwapMatrix<TRANSPAIR>&, LogProb, void*) { - return 0.0; -} - -template<class TRANSPAIR> void _collectCountsOverNeighborhoodForSophisticatedModels( - const MoveSwapMatrix<TRANSPAIR>&Mmsc, const alignment&msc, - const TRANSPAIR&ef, LogProb normalized_ascore, d4model*d4Table) { - Mmsc.check(); - const PositionIndex m=msc.get_m(), l=msc.get_l(); - for (PositionIndex j=1; j<=m; ++j) - if (msc(j)!=0) - if (msc.get_head(msc(j))==j) { - int ep=msc.prev_cept(msc(j)); - d4Table->augCountRef_first(j, msc.get_center(ep), - d4Table->ewordclasses->getClass(ef.get_es(ep)), - d4Table->fwordclasses->getClass(ef.get_fs(j)), l, m,normalized_ascore); - } else { - //massert( &d4Table->getCountRef_bigger(j,msc.prev_in_cept(j),0,d4Table->fwordclasses.getClass(ef.get_fs(j)),l,m) == ef.getCountSecond(j,msc.prev_in_cept(j) )); - d4Table->augCountRef_bigger(j, msc.prev_in_cept(j), 0, - d4Table->fwordclasses->getClass(ef.get_fs(j)), l, m,normalized_ascore); - } -} - -template<class TRANSPAIR> void _collectCountsOverNeighborhoodForSophisticatedModels( - const MoveSwapMatrix<TRANSPAIR>&Mmsc, const alignment&msc, - const TRANSPAIR&ef, LogProb normalized_ascore, d5model*d5Table) { - Mmsc.check(); - _collectCountsOverNeighborhoodForSophisticatedModels(Mmsc, msc, ef, - normalized_ascore, &d5Table->d4m); - Mmsc.check(); - const PositionIndex m=msc.get_m(), l=msc.get_l(); - PositionIndex prev_cept=0; - PositionIndex vac_all=m; - Vector<char> vac(m+1,0); - for (PositionIndex i=1; i<=l; i++) { - PositionIndex cur_j=msc.als_i[i]; - PositionIndex prev_j=0; - PositionIndex k=0; - if (cur_j) { // process first word of cept - k++; - d5Table->getCountRef_first(vacancies(vac, cur_j), vacancies(vac, - msc.get_center(prev_cept)), - d5Table->fwordclasses->getClass(ef.get_fs(cur_j)), l, m, - vac_all-msc.fert(i)+k) +=normalized_ascore; - vac_all--; - assert(vac[cur_j]==0); - vac[cur_j]=1; - Mmsc.check(); - prev_j=cur_j; - cur_j=msc.als_j[cur_j].next; - } - while (cur_j) { // process following words of cept - k++; - int vprev=vacancies(vac, prev_j); - d5Table->getCountRef_bigger(vacancies(vac, cur_j), vprev, - d5Table->fwordclasses->getClass(ef.get_fs(cur_j)), l, m, - vac_all-vprev/*war weg*/-msc.fert(i)+k)+=normalized_ascore; - vac_all--; - vac[cur_j]=1; - Mmsc.check(); - prev_j=cur_j; - cur_j=msc.als_j[cur_j].next; - } - assert(k==msc.fert(i)); - if (k) - prev_cept=i; - } - assert(vac_all==msc.fert(0)); -} - -extern int NumberOfAlignmentsInSophisticatedCountCollection; -template<class TRANSPAIR, class MODEL> double collectCountsOverNeighborhoodForSophisticatedModels( - const MoveSwapMatrix<TRANSPAIR>&msc, LogProb normalized_ascore, - MODEL*d5Table) { - const PositionIndex m=msc.get_m(), l=msc.get_l(); - alignment x(msc); - double sum=0; - msc.check(); - if ( !msc.isCenterDeleted() ) { - _collectCountsOverNeighborhoodForSophisticatedModels<TRANSPAIR>(msc, x, - msc.get_ef(), normalized_ascore, d5Table); - NumberOfAlignmentsInSophisticatedCountCollection++; - sum+=normalized_ascore; - } - msc.check(); - for (WordIndex j=1; j<=m; j++) - for (WordIndex i=0; i<=l; i++) { - WordIndex old=x(j); - if (i!=old&& !msc.isDelMove(i, j) ) { - msc.check(); - double cm =msc.cmove(i, j); - if(cm < 0){ - continue; - } - double c=cm*normalized_ascore; - if (c > COUNTINCREASE_CUTOFF_AL) { - x.set(j, i); - _collectCountsOverNeighborhoodForSophisticatedModels< - TRANSPAIR>(msc, x, msc.get_ef(), c, d5Table); - NumberOfAlignmentsInSophisticatedCountCollection++; - x.set(j, old); - sum+=c; - } - msc.check(); - } - } - for (PositionIndex j1=1; j1<=m; j1++) { - for (PositionIndex j2=j1+1; j2<=m; j2++) { - if (msc(j1)!=msc(j2) && !msc.isDelSwap(j1, j2) ) { - double cs = msc.cswap(j1, j2); - if(cs < 0) - continue; - double c=cs*normalized_ascore; - msc.check(); - if (c > COUNTINCREASE_CUTOFF_AL) { - int old1=msc(j1), old2=msc(j2); - x.set(j1, old2); - x.set(j2, old1); - _collectCountsOverNeighborhoodForSophisticatedModels< - TRANSPAIR>(msc, x, msc.get_ef(), c, d5Table); - NumberOfAlignmentsInSophisticatedCountCollection++; - x.set(j1, old1); - x.set(j2, old2); - sum+=c; - } - msc.check(); - } - } - } - msc.check(); - return sum; -} - -template<class TRANSPAIR, class MODEL> int collectCountsOverNeighborhood( - const Vector<pair<MoveSwapMatrix<TRANSPAIR>*,LogProb> >&smsc, - Vector<WordIndex>&es, Vector<WordIndex>&fs, tmodel<COUNT,PROB>&tTable, - amodel<COUNT>&aCountTable, amodel<COUNT>&dCountTable, - nmodel<COUNT>&nCountTable, SyncDouble&p1count, SyncDouble&p0count, - LogProb&_total, float count, bool addCounts, MODEL*d4Table) { - int nAl=0; - const PositionIndex l=es.size()-1, m=fs.size()-1; - Array2<LogProb,Vector<LogProb> > dtcount(l+1, m+1), ncount(l+1, - MAX_FERTILITY+1); - LogProb p0=0, p1=0, all_total=0; - for (unsigned int i=0; i<smsc.size(); ++i) { - LogProb this_total=0; - nAl+=collectCountsOverNeighborhood(*smsc[i].first, smsc[i].second, - dtcount, ncount, p1, p0, this_total); - all_total+=this_total; - } - _total=all_total; - all_total/=(double)count; - double sum2=0; - if (addCounts && d4Table) { - for (unsigned int i=0; i<smsc.size(); ++i) { - //for(WordIndex j=1;j<=m;j++)for(WordIndex ii=0;ii<=l;ii++) - // (*smsc[i].first).cmove(ii,j); - sum2+=collectCountsOverNeighborhoodForSophisticatedModels( - *smsc[i].first, smsc[i].second/all_total, d4Table); - } - if (!(fabs(count-sum2)<0.05)) - cerr << "WARNING: DIFFERENT SUMS: (" << count << ") (" << sum2 - << ")\n"; - } - - /** - NOTE! HERE IS THE UPDATE PROCESSï¼ - */ - if (addCounts) { - for (PositionIndex i=0; i<=l; i++) { - for (PositionIndex j=1; j<=m; j++) { - LogProb ijadd=dtcount(i, j)/all_total; - if (ijadd>COUNTINCREASE_CUTOFF_AL) { - tTable.incCount(es[i], fs[j], ijadd); - dCountTable.addValue(j, i, l, m, ijadd); - aCountTable.addValue(i, j, l, m, ijadd); - } - } - if (i>0) - for (PositionIndex n=0; n<MAX_FERTILITY; n++) - nCountTable.addValue(es[i], n, ncount(i, n)/all_total); - } - p0count+=p0/all_total; - p1count+=p1/all_total; - } - return nAl; -} - diff --git a/experimental/alignment-enabled/MGIZA/src/getSentence.cpp b/experimental/alignment-enabled/MGIZA/src/getSentence.cpp deleted file mode 100644 index c2adf0b..0000000 --- a/experimental/alignment-enabled/MGIZA/src/getSentence.cpp +++ /dev/null @@ -1,470 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* --------------------------------------------------------------------------* - * * - * Module : getSentece * - * * - * Method Definitions File: getSentence.cc * - * * - * Objective: Defines clases and methods for handling I/O for the parallel * - * corpus. * - *****************************************************************************/ - - -#include "getSentence.h" -#include <iostream> -#include <strstream> -#include <stdio.h> -#include <stdlib.h> -#include <boost/algorithm/string.hpp> -#include <vector> -#include <set> -#include <pthread.h> -#include "Parameter.h" -#include "errno.h" - -int PrintedTooLong=0; - -/* -------------- Method Defnitions for Class sentenceHandler ---------------*/ - -GLOBAL_PARAMETER(double,ManlexMAX_MULTIPLICITY,"manlexMAX_MULTIPLICITY","",PARLEV_EM,20.0); -GLOBAL_PARAMETER(double,Manlexfactor1,"manlexfactor1","",PARLEV_EM,0.0); -GLOBAL_PARAMETER(double,Manlexfactor2,"manlexfactor2","",PARLEV_EM,0.0); - -sentenceHandler::sentenceHandler(const char* filename, vcbList* elist, - vcbList* flist) : realCount(0) - // This method is the constructor of the class, it also intitializes the - // sentence pair sequential number (count) to zero. -{ - pthread_mutex_init(&readsent_mutex,NULL); - pthread_mutex_init(&setprob_mutex,NULL); - - position = 0; - readflag = false ; - allInMemory = false ; - inputFilename = filename ; - inputFile = new ifstream(filename); - pair_no = 0 ; - if(!(*inputFile)){ - cerr << "\nERROR:(a) Cannot open " << filename; - exit(1); - } - currentSentence = 0; - totalPairs1 = 0 ; - totalPairs2 =0; - pair_no = 0 ; - noSentInBuffer = 0 ; - Buffer.clear(); - bool isNegative=0; - std::set<WordIndex> evoc,fvoc; - evoc.insert(0); - fvoc.insert(0); - if (elist && flist){ - cout << "Calculating vocabulary frequencies from corpus " << filename << '\n'; - sentPair s ; - while (getNextSentence(s, elist, flist)) - { - for(int i = 0 ; i< s.eSent.size() ; i++){ - evoc.insert(s.eSent[i]); - } - for(int i = 0 ; i< s.fSent.size() ; i++){ - fvoc.insert(s.fSent[i]); - } - totalPairs1++; - totalPairs2+=s.realCount; - // NOTE: this value might change during training - // for words from the manual dictionary, yet this is ignored! - - if( s.noOcc<0 ) - isNegative=1; - } - } - if( isNegative==1 ) - { - cerr << "WARNING: corpus contains negative occurrency frequencies => these are interpreted as entries of a manual dictionary.\n"; - realCount=new Vector<double>(totalPairs1,1.0); - } - else - realCount=0; - elist->compact(evoc); - flist->compact(fvoc); -} - -sentenceHandler::sentenceHandler(const char* filename, vcbList* elist, - vcbList* flist,std::set<WordIndex>& eapp, std::set<WordIndex>& fapp) : realCount(0) - // This method is the constructor of the class, it also intitializes the - // sentence pair sequential number (count) to z -{ - pthread_mutex_init(&readsent_mutex,NULL); - pthread_mutex_init(&setprob_mutex,NULL); - position = 0; - readflag = false ; - allInMemory = false ; - inputFilename = filename ; - inputFile = new ifstream(filename); - pair_no = 0 ; - if(!(*inputFile)){ - cerr << "\nERROR:(a) Cannot open " << filename; - exit(1); - } - currentSentence = 0; - totalPairs1 = 0 ; - totalPairs2 =0; - pair_no = 0 ; - noSentInBuffer = 0 ; - Buffer.clear(); - bool isNegative=0; - if (elist && flist){ - cout << "Calculating vocabulary frequencies from corpus " << filename << '\n'; - sentPair s ; - while (getNextSentence(s, elist, flist)) - { - int k; - for(k=0;k<s.eSent.size();k++){ - eapp.insert(s.eSent[k]); - } - for(k=0;k<s.fSent.size();k++){ - fapp.insert(s.fSent[k]); - } - totalPairs1++; - totalPairs2+=s.realCount; - // NOTE: this value might change during training - // for words from the manual dictionary, yet this is ignored! - - if( s.noOcc<0 ) - isNegative=1; - } - } - if( isNegative==1 ) - { - cerr << "WARNING: corpus contains negative occurrency frequencies => these are interpreted as entries of a manual dictionary.\n"; - realCount=new Vector<double>(totalPairs1,1.0); - } - else - realCount=0; -} - -void sentenceHandler::rewind() -{ - position = 0; - currentSentence = 0; - readflag = false ; - if (!allInMemory || - !(Buffer.size() >= 1 && Buffer[currentSentence].sentenceNo == 1)){ - // check if the buffer doe not already has the first chunk of pairs - if (Buffer.size() > 0) - cerr << ' ' << Buffer[currentSentence].sentenceNo << '\n'; - // totalPairs = 0 ; - pair_no = 0 ; - noSentInBuffer = 0 ; - Buffer.clear(); - } - if (!allInMemory){ - delete inputFile; - inputFile = new ifstream(inputFilename); - if(!(*inputFile)){ - cerr << "\nERROR:(b) Cannot open " << inputFilename << " " << (int)errno; - } - } -} - - -int sentenceHandler::getNextSentence(sentPair& sent, vcbList* elist, vcbList* flist) -{ - pthread_mutex_lock(&readsent_mutex); - - do{ - sentPair s ; - if (readflag){ - cerr << "Attempting to read from the end of corpus, rewinding\n"; - //rewind(); - break; - } - if (currentSentence >= noSentInBuffer){ - if (allInMemory) - break; - /* no more sentences in buffer */ - noSentInBuffer = 0 ; - currentSentence = 0 ; - Buffer.clear(); - cout << "Reading more sentence pairs into memory ... \n"; - while((noSentInBuffer < TRAIN_BUFFER_SIZE) && readNextSentence(s)){ - if ((s.fSent.size()-1) > (MAX_FERTILITY-1) * (s.eSent.size()-1)){ - cerr << "WARNING: The following sentence pair has source/target sentence length ration more than\n"<< - "the maximum allowed limit for a source word fertility\n"<< - " source length = " << s.eSent.size()-1 << " target length = " << s.fSent.size()-1 << - " ratio " << double(s.fSent.size()-1)/ (s.eSent.size()-1) << " ferility limit : " << - MAX_FERTILITY-1 << '\n'; - cerr << "Shortening sentence \n"; - cerr << s; - s.eSent.resize(min(s.eSent.size(),s.fSent.size())); - s.fSent.resize(min(s.eSent.size(),s.fSent.size())); - } - Buffer.push_back(s) ; - //cerr << s.eAnchor.size() << " " << Buffer[Buffer.size()-1].eAnchor.size()<< endl; - if (elist && flist){ - if ((*elist).size() > 0) - for (WordIndex i= 0 ; i < s.eSent.size() ; i++){ - if (s.eSent[i] >= (*elist).uniqTokens()){ - if( PrintedTooLong++<100) - cerr << "ERROR: source word " << s.eSent[i] << " is not in the vocabulary list \n"; - exit(-1); - } - (*elist).incFreq(s.eSent[i], s.realCount); - } - if ((*flist).size() > 0) - for (WordIndex j= 1 ; j < s.fSent.size() ; j++){ - if (s.fSent[j] >= (*flist).uniqTokens()){ - cerr << "ERROR: target word " << s.fSent[j] << " is not in the vocabulary list \n"; - exit(-1); - } - (*flist).incFreq(s.fSent[j], s.realCount); - } - } - noSentInBuffer++; - } - if (inputFile->eof()){ - allInMemory = (Buffer.size() >= 1 && - Buffer[currentSentence].sentenceNo == 1) ; - if (allInMemory) - cout << "Corpus fits in memory, corpus has: " << Buffer.size() << - " sentence pairs.\n"; - } - } - if(noSentInBuffer <= 0 ){ - //cerr << "# sent in buffer " << noSentInBuffer << '\n'; - readflag = true ; - break; - } - sent = Buffer[currentSentence++] ; - // cerr << currentSentence-1 << " " << sent.eAnchor.size() << " " << Buffer[currentSentence-1].eAnchor.size()<< endl; - position ++; - if( sent.noOcc<0 && realCount ){ - if( Manlexfactor1 && sent.noOcc==-1.0 ) - sent.realCount=Manlexfactor1; - else if( Manlexfactor2 && sent.noOcc==-2.0 ) - sent.realCount=Manlexfactor2; - else - sent.realCount=(*realCount)[sent.getSentenceNo()-1]; - } - pthread_mutex_unlock(&readsent_mutex); - return position ; - }while(false); - pthread_mutex_unlock(&readsent_mutex); - return 0; -} -bool sentenceHandler::readNextSentence(sentPair& sent) - /* This method reads in a new pair of sentences, each pair is read from the - corpus file as line triples. The first line the no of times this line - pair occured in the corpus, the second line is the source sentence and - the third is the target sentence. The sentences are represented by a space - separated positive integer token ids. */ -{ - - string line; - bool fail(false) ; - - sent.clear(); - vector<string> splits; - if (getline(*inputFile, line)){ - - boost::algorithm::split(splits,line,boost::algorithm::is_any_of("|#*")); - - if(splits.size() == 1 || splits.size() == 0){ - // continue, no problem - - }else if(splits.size()>=3){ - line = splits[0]; - }else{ - fail = true; - return false; - } - - istrstream buffer(line.c_str()); - buffer >> sent.noOcc; - if( sent.noOcc<0 ) - { - if( realCount ) - { - if( Manlexfactor1 && sent.noOcc==-1.0 ) - sent.realCount=Manlexfactor1; - else if( Manlexfactor2 && sent.noOcc==-2.0 ) - sent.realCount=Manlexfactor2; - else - { - sent.realCount=(*realCount)[pair_no]; - } - } - else - sent.realCount=1.0; - } - else - sent.realCount=sent.noOcc; - } - else { - fail = true ;; - } - if (splits.size()>=3 || getline(*inputFile, line)){ - if(splits.size()>=3){ - line = splits[1]; - } - istrstream buffer(line.c_str()); - WordIndex w; // w is a local variabe for token id - sent.eSent.push_back(0); // each source word is assumed to have 0 == - // a null word (id 0) at the begining of the sentence. - while(buffer>>w){ // read source sentece , word by word . - if (sent.eSent.size() < MAX_SENTENCE_LENGTH) - sent.eSent.push_back(w); - else { - if( PrintedTooLong++<100) - cerr << "{WARNING:(a)truncated sentence "<<pair_no<<"}"; - //cerr << "ERROR: getSentence.cc:getNextSentence(): sentence exceeds preset length limit of : " << MAX_SENTENCE_LENGTH << '\n'; - //cerr << "The following sentence will be truncated\n" << line; - break ; - } - } - } - else { - fail = true ; - } - if (splits.size()>=3 ||getline(*inputFile, line)){ - if(splits.size()>=3){ - line = splits[2]; - } - istrstream buffer(line.c_str()); - WordIndex w; // w is a local variabe for token id - sent.fSent.push_back(0); //0 is inserted for program uniformity - while(buffer>>w){ // read target sentece , word by word . - if (sent.fSent.size() < MAX_SENTENCE_LENGTH) - sent.fSent.push_back(w); - else { - if( PrintedTooLong++<100) - cerr << "{WARNING:(b)truncated sentence "<<pair_no<<"}"; - //cerr << "ERROR: getSentence.cc:getNextSentence(): sentence exceeds preset length limit of : " << MAX_SENTENCE_LENGTH << '\n'; - //cerr << "The following sentence will be truncated\n" << line; - break ; - } - } - } - else { - fail = true ; - } - sent.eAnchor.clear(); - sent.fAnchor.clear(); -// cerr << "Splits: " << splits.size() << endl; - if(splits.size()>3){ - vector<string> al,eal; - al.clear(); - boost::algorithm::split(al,splits[3],boost::algorithm::is_any_of(" ")); - for(int w = 0 ; w < al.size(); w++){ - eal.clear(); - boost::algorithm::split(eal,al[w],boost::algorithm::is_any_of("-")); - if(eal.size()==2){ - int ea = atoi(eal[0].c_str()); - int fa = atoi(eal[1].c_str()); - if(ea >= sent.eSent.size() || fa >= sent.fSent.size()) - continue; - sent.eAnchor.push_back(ea); - sent.fAnchor.push_back(fa); - } - } - // cerr << "Read partial alignment: " << sent.eAnchor.size() << " " << - // sent.fAnchor.size() << "\n"; - } - if (fail){ - sent.eSent.clear(); - sent.fSent.clear(); - sent.eAnchor.clear(); - sent.fAnchor.clear(); - sent.sentenceNo = 0 ; - sent.noOcc = 0 ; - sent.realCount=0; - return(false); - } - if( sent.eSent.size()==1||sent.fSent.size()==1 ) - cerr << "ERROR: Forbidden zero sentence length " << sent.sentenceNo << endl; - sent.sentenceNo = ++pair_no; - if(pair_no % 100000 == 0) - cout << "[sent:" << sent.sentenceNo << "]"<< '\n'; - return true; -} - -double optimize_lambda(Vector<double>&vd) -{ - Vector<double> l; - for(double lambda=1.0;lambda<ManlexMAX_MULTIPLICITY;lambda+=0.33) - { - double prod=0.0; - for(unsigned int i=0;i<vd.size();++i) - { - prod += vd[i]*exp(lambda*vd[i])/(exp(lambda*vd[i])-1.0); - } - l.push_back(fabs(prod-1.0)); - } - double lam=double(min_element(l.begin(),l.end())-l.begin())*0.33+1.0; - if( lam<1.0 ) - { - cerr << "ERROR: lambda is smaller than one: " << lam << endl; - for(unsigned int i=0;i<vd.size();++i) - cerr << vd[i] << ' '; - cerr << endl; - } - return lam; -} - -void sentenceHandler::setProbOfSentence(const sentPair&s,double d) -{ - - if( realCount==0 ) - return; - else{ - pthread_mutex_lock(&setprob_mutex); - if( s.noOcc<=0 ) - { - double ed=exp(d); - if( oldPairs.size()>0&&(oldPairs.back().get_eSent()!=s.get_eSent()||oldPairs.back().getSentenceNo()>=s.getSentenceNo()) ) - { - double lambda=optimize_lambda(oldProbs); - for(unsigned int i=0;i<oldPairs.size();++i) - { - if( oldProbs[i]<1e-5 ) - (*realCount)[oldPairs[i].getSentenceNo()-1]=1.0; - else - (*realCount)[oldPairs[i].getSentenceNo()-1]=lambda*oldProbs[i]/(1-exp(-lambda*oldProbs[i])); - } - oldPairs.clear(); - oldProbs.clear(); - } - oldPairs.push_back(s); - oldProbs.push_back(ed); - } - pthread_mutex_unlock(&setprob_mutex); - } -} - -/* ------------- End of Method Definition of Class sentenceHandler ----------*/ - - - - - - diff --git a/experimental/alignment-enabled/MGIZA/src/getSentence.h b/experimental/alignment-enabled/MGIZA/src/getSentence.h deleted file mode 100644 index c9ae490..0000000 --- a/experimental/alignment-enabled/MGIZA/src/getSentence.h +++ /dev/null @@ -1,136 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* --------------------------------------------------------------------------* - * * - * Module : getSentence * - * * - * Prototypes File: getSentence.h * - * * - * Objective: Defines clases and methods for handling I/O for the parallel * - * corpus. * - *****************************************************************************/ - - - - - -#ifndef _sentenceHandler_h -#define _sentenceHandler_h 1 - - -#include <iostream> -#include <fstream> -#include <string> -#include <set> -#include <stdio.h> -#include <stdlib.h> -#include <pthread.h> -#include "Vector.h" -#include "defs.h" -#include "vocab.h" -#include "Globals.h" -/*----------------------- Class Prototype Definition ------------------------* - Class Name: sentenceHandleer - Objective: This class is defined to handle training sentece pairs from the - parallel corpus. Each pair has: a target sentece, called here French; a - source sentece, called here English sentece; and an integer number denoting - the number of times this pair occured in trining corpus. Both source and - target senteces are represented as integer vector (variable size arrays), - each entry is a numeric value which is the token id for the particular token - in the sentece. - - *---------------------------------------------------------------------------*/ - -class sentPair{ - public: - int sentenceNo ; - float noOcc; - float realCount; - Vector<WordIndex> eSent ; - Vector<WordIndex> fSent; - Vector<WordIndex> eAnchor; - Vector<WordIndex> fAnchor; - public: - sentPair(){}; - void clear(){ eSent.clear(); fSent.clear();eAnchor.clear(),fAnchor.clear(); noOcc=0; realCount=0; sentenceNo=0;}; - const Vector<WordIndex>&get_eSent()const - { return eSent; } - const Vector<WordIndex>&get_fSent()const - { return fSent; } - int getSentenceNo()const - { return sentenceNo; } - double getCount()const - { return realCount; } - -}; - -inline ostream&operator<<(ostream&of,const sentPair&s) -{ - of << "Sent No: " << s.sentenceNo << " , No. Occurrences: " << s.noOcc << '\n'; - if( s.noOcc!=s.realCount ) - of << " Used No. Occurrences: " << s.realCount << '\n'; - unsigned int i; - for(i=0; i < s.eSent.size(); i++) - of << s.eSent[i] << ' '; - of << '\n'; - for(i=1; i < s.fSent.size(); i++) - of << s.fSent[i] << ' '; - of << '\n'; - return of; -} - -/*Thread-safe version of sentence handler*/ -class sentenceHandler{ -public: - const char * inputFilename; // parallel corpus file name, similar for all - // sentence pair objects - ifstream *inputFile; // parallel corpus file handler - Vector<sentPair> Buffer; - int noSentInBuffer ; - int currentSentence ; - int position; /*Sentence position (will be returned)*/ - int totalPairs1 ; - double totalPairs2; - bool readflag ; // true if you reach the end of file - bool allInMemory ; - int pair_no ; - Vector<double> *realCount; - - Vector<sentPair> oldPairs; - Vector<double> oldProbs; - sentenceHandler(){}; - sentenceHandler(const char* filename, vcbList* elist=0, vcbList* flist=0); - sentenceHandler(const char* filename, vcbList* elist, vcbList* flist,set<WordIndex>& eapp, set<WordIndex>& fapp); - void rewind(); - int getNextSentence(sentPair&, vcbList* = 0, vcbList* = 0); // will be defined in the definition file, this - int getTotalNoPairs1()const {return totalPairs1;}; - double getTotalNoPairs2()const {return totalPairs2;}; - // method will read the next pair of sentence from memory buffer - void setProbOfSentence(const sentPair&s,double d); -private: - pthread_mutex_t readsent_mutex; - pthread_mutex_t setprob_mutex; - bool readNextSentence(sentPair&); // will be defined in the definition file, this -}; - -#endif - diff --git a/experimental/alignment-enabled/MGIZA/src/hmm.cpp b/experimental/alignment-enabled/MGIZA/src/hmm.cpp deleted file mode 100644 index dd8cde5..0000000 --- a/experimental/alignment-enabled/MGIZA/src/hmm.cpp +++ /dev/null @@ -1,1088 +0,0 @@ -/* - -Copyright (C) 1998,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "hmm.h" -#include "Globals.h" -#include "utility.h" -#include "HMMTables.h" -#include "ForwardBackward.h" -#include "Parameter.h" -#include <iostream> -#include "syncObj.h" -using namespace std; -#define CLASSIFY(i,empty,ianf) bool empty=(i>=l); unsigned int ianf=(i%l); -#define CLASSIFY2(i,ianf) unsigned int ianf=(i%l); - - -short PredictionInAlignments=0; -short UniformEntryExit=3; -short HMMTrainingSpecialFlags=0; - -GLOBAL_PARAMETER2(int,ModelH_Dump_Freq, - "HMM DUMP FREQUENCY","th", - "dump frequency of HMM", - PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(short,CompareAlDeps,"emAlignmentDependencies", - "lextrain: dependencies in the HMM alignment model. " - " &1: sentence length; &2: previous class; &4: previous position; " - " &8: French position; &16: French class" - ,PARLEV_MODELS,2); - -GLOBAL_PARAMETER(double,GLOBALProbabilityForEmpty, - "emProbForEmpty","f-b-trn: probability for empty word", - PARLEV_MODELS,0.4); - -GLOBAL_PARAMETER(short,SmoothHMM,"emSmoothHMM", - "f-b-trn: smooth HMM model &1: modified counts; &2:perform smoothing with -emAlSmooth", - PARLEV_SPECIAL,2); - -GLOBAL_PARAMETER(double,HMMAlignmentModelSmoothFactor,"emAlSmooth", - "f-b-trn: smoothing factor for HMM alignment model (can be ignored by -emSmoothHMM)", - PARLEV_SMOOTH,0.2); - - -/*template<class T> -void smooth_standard(T*a,T*b,double p) -{ - int n=b-a; - if( n==0 ) - return; - double pp=p/n; - for(T*i=a;i!=b;++i) - *i = (1.0-p)*(*i)+pp; -}*/ - - -hmm::hmm(model2&m2,WordClasses &e, WordClasses& f) -: ewordclasses(e), fwordclasses(f),model2(m2),counts(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses), -probs(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses) -{ } - - -void hmm::initialize_table_uniformly(sentenceHandler&){} - -struct hmm_em_loop_t{ - hmm *m; - int done; - int valid; - string alignfile; - int it; - bool dump_files; - bool resume; - pthread_t thread; - hmm_em_loop_t():m(0),done(0),valid(0){}; -}; - -void* hmm_exe_emloop(void *arg){ - hmm_em_loop_t* em =(hmm_em_loop_t *) arg; - em->m->em_thread(em->it,em->alignfile,em->dump_files,em->resume); - em->done = -1; - return arg; -} - -void hmm::em_thread(int it,string alignfile,bool dump_files,bool resume){ - em_loop(perp, sHandler1, dump_files , alignfile.c_str(), trainViterbiPerp, false,it==1 && (!resume),it); -} -extern short NCPUS; -int hmm::em_with_tricks(int noIterations,bool dumpCount, - const char* dumpCountName, bool useString ,bool resume){ - double minErrors=1.0;int minIter=0; - string modelName="Hmm",shortModelName="hmm"; - int dumpFreq=ModelH_Dump_Freq; - time_t it_st, st, it_fn, fn; - string tfile, afile,afileh, number, alignfile, test_alignfile; - int pair_no = 0; - bool dump_files = false ; - ofstream of2 ; - st = time(NULL) ; - sHandler1.rewind(); - cout << "\n==========================================================\n"; - cout << modelName << " Training Started at: " << ctime(&st); - vector<hmm_em_loop_t> th; - th.resize(NCPUS); - for(int it=1; it <= noIterations ; it++){ - pair_no = 0; - it_st = time(NULL) ; - cout << endl << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = (dumpFreq != 0) && ((it % dumpFreq) == 0) && !NODUMPS; - //dump_files = true; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - afile = Prefix + ".a" + shortModelName + "." + number ; - // acfile = Prefix + ".ac" + shortModelName + "." + number ; - afileh = Prefix + ".h" + shortModelName + "." + number ; - alignfile = Prefix + ".A" + shortModelName + "." + number ; - test_alignfile = Prefix + ".tst.A" + shortModelName + "." + number ; - counts=HMMTables<int,WordClasses>(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses); - aCountTable.clear(); - initAL(); - sHandler1.rewind(); - int k; - char node[2] ; - node[1] = '\0'; - for (k=1 ; k< NCPUS ; k++){ - th[k].m = this; - th[k].done = 0; - th[k].valid = 0; - th[k].it = it; - th[k].resume = resume; - th[k].alignfile = alignfile + ".part"; - node[0] = '0' + k; - th[k].alignfile += node; - th[k].dump_files = dump_files; - th[k].valid = pthread_create(&(th[k].thread),NULL,hmm_exe_emloop,&(th[k])); - if(th[k].valid){ - cerr << "Error starting thread " << k << endl; - } - } - node[0] = '0'; - alignfile += ".part"; - alignfile += node; - em_loop(perp, sHandler1, dump_files , alignfile.c_str(), trainViterbiPerp, false,it==1 && (!resume),it); - for (k=1;k<NCPUS;k++){ - pthread_join((th[k].thread),NULL); - cerr << "Thread " << k << "done" << endl; - } - perp.record("HMM"); - trainViterbiPerp.record("HMM"); - errorReportAL(cout,"HMM"); - - sHandler1.rewind(); - if( errorsAL()<minErrors ){ - minErrors=errorsAL(); - minIter=it; - } - if (testPerp && testHandler){ - testHandler->rewind(); - em_loop(*testPerp, *testHandler, dump_files, test_alignfile.c_str(), *testViterbiPerp, true,it==1 && (!resume),it); - testHandler->rewind(); - } - if (dump_files&&OutputInAachenFormat==1) - tTable.printCountTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),1); - - if(dumpCount && it == noIterations){ - string realTableName = dumpCountName; - realTableName += ".t.count"; - tTable.printCountTable(realTableName.c_str(),Elist.getVocabList(),Flist.getVocabList(),useString); - string realATableName = dumpCountName; - realATableName += ".a.count"; - aCountTable.printRealTable(realATableName.c_str()); - string realHTableName = dumpCountName; - realHTableName += ".h.count"; - string fnamealpha = realHTableName; - string fnamebeta = realHTableName; - fnamealpha += ".alpha"; - fnamebeta += ".beta"; - counts.writeJumps(realHTableName.c_str(),NULL,fnamealpha.c_str(),fnamebeta.c_str()); - - } - tTable.normalizeTable(Elist, Flist); - aCountTable.normalize(aTable); - probs=counts; - cout << modelName << ": ("<<it<<") TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<") TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() - << " PERPLEXITY " << (*testPerp).perplexity() - << '\n'; - cout << modelName << ": ("<<it<<") VITERBI TRAIN CROSS-ENTROPY " << trainViterbiPerp.cross_entropy() - << " PERPLEXITY " << trainViterbiPerp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<") VITERBI TEST CROSS-ENTROPY " << testViterbiPerp->cross_entropy() - << " PERPLEXITY " << testViterbiPerp->perplexity() - << '\n'; - if (dump_files){ - if( OutputInAachenFormat==0) - tTable.printProbTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),OutputInAachenFormat); - // ofstream afilestream(afileh.c_str()); - string fnamealpha = afileh; - string fnamebeta = afileh; - fnamealpha += ".alpha"; - fnamebeta += ".beta"; - probs.writeJumps(afileh.c_str(),NULL,fnamealpha.c_str(),fnamebeta.c_str()); -// aCountTable.printTable(acfile.c_str()); - aTable.printTable(afile.c_str()); - } - it_fn = time(NULL) ; - cout << "\n" << modelName << " Iteration: " << it<< " took: " << - difftime(it_fn, it_st) << " seconds\n"; - } // end of iterations - fn = time(NULL) ; - cout << endl << "Entire " << modelName << " Training took: " << difftime(fn, st) << " seconds\n"; - //cout << "tTable contains " << tTable.getHash().bucket_count() - // << " buckets and " << tTable.getHash().size() << " entries." ; - cout << "==========================================================\n"; - return minIter; -} - -/*template<class T> -T normalize_if_possible_with_increment(T*a,T*b,int increment) -{ - T sum=0; - for(T*i=a;i!=b;i+=increment) - sum+=*i; - if( sum ) - for(T*i=a;i!=b;i+=increment) - *i/=sum; - else - { - T factor=increment/(b-a); - for(T*i=a;i!=b;i+=increment) - *i=factor; - } - return sum; -}*/ - -void hmm::load_table(const char* aname){ - cout << "Hmm: loading a table not implemented.\n"; - abort(); - ifstream anamefile(aname); - probs.readJumps(anamefile); -} - -HMMNetwork *hmm::makeHMMNetwork(const Vector<WordIndex>& es,const Vector<WordIndex>&fs,bool doInit)const -{ - unsigned int i,j; - unsigned int l = es.size() - 1; - unsigned int m = fs.size() - 1; - unsigned int I=2*l,J=m; - int IJ=I*J; - bool DependencyOfJ=(CompareAlDeps&(16|8))||(PredictionInAlignments==2); - bool DependencyOfPrevAJ=(CompareAlDeps&(2|4))||(PredictionInAlignments==0); - HMMNetwork *net = new HMMNetwork(I,J); - fill(net->alphainit.begin(),net->alphainit.end(),0.0); - fill(net->betainit.begin(),net->betainit.end(),0.0); - for(j=1;j<=m;j++){ - for(i=1;i<=l;i++){ - // cout << es[i] <<" " << fs[j] <<" " << tTable.getProb(es[i], fs[j]) << endl; - net->n(i-1,j-1)=tTable.getProb(es[i], fs[j]) ; - } - double emptyContribution=0; - emptyContribution=tTable.getProb(es[0],fs[j]) ; - for(i=1;i<=l;i++) - net->n(i+l-1,j-1)=emptyContribution; - net->finalMultiply*=max(normalize_if_possible_with_increment(&net->n(0,j-1),&net->n(0,j-1)+IJ,J),double(1e-12)); - } - if( DependencyOfJ ) - net->e.resize(m-1); - else - net->e.resize(J>1); - for(j=0;j<net->e.size();j++){ - int frenchClass=fwordclasses.getClass(fs[1+min(int(m)-1,int(j)+1)]); - net->e[j].resize(I,I,0); - for(unsigned int i1=0;i1<I;++i1) { - Array<double> al(l); - CLASSIFY2(i1,i1real); - for(unsigned int i2=0;i2<l;i2++) - al[i2]=probs.getAlProb(i1real,i2,l,m,ewordclasses.getClass(es[1+i1real]),frenchClass - ,j+1); - normalize_if_possible(conv<double>(al.begin()),conv<double>(al.end())); - if( SmoothHMM&2 ) - smooth_standard(conv<double>(al.begin()),conv<double>(al.end()),HMMAlignmentModelSmoothFactor); - for(unsigned int i2=0;i2<I;i2++) { - CLASSIFY(i2,empty_i2,i2real); - net->e[j](i1,i2) = al[i2real]; - - if( empty_i2 ) - if(i1real!=i2real) { - net->e[j](i1,i2)=0; - } else{ - net->e[j](i1,i2)=doInit?al[0]:(probs.getProbabilityForEmpty()); // make first HMM iteration like IBM-1 - } - } - normalize_if_possible(&net->e[j](i1,0),&net->e[j](i1,0)+I); - } - } - if( doInit ){ - for(unsigned int i=0;i<I;++i) - { - net->alphainit[i]=net->betainit[i]=(i<I/2)?1:(2.0/I); - net->betainit[i]=1.0; - } - }else{ - if( DependencyOfPrevAJ==0 ){ - for(i=0;i<I;i++){ - CLASSIFY2(i,ireal); - net->alphainit[i]=probs.getAlProb(-1,ireal,l,m,0,fwordclasses.getClass(fs[1+0]),0); - } - }else{ - if( UniformEntryExit&2 )probs.getBetaInit(I,net->betainit); - if( UniformEntryExit&1 )probs.getAlphaInit(I,net->alphainit); - } - } - massert( net->alphainit.size()==I );massert( net->betainit.size()==I ); - normalize_if_possible(conv<double>(net->alphainit.begin()),conv<double>(net->alphainit.end())); - normalize_if_possible(conv<double>(net->betainit.begin()),conv<double>(net->betainit.end())); - transform(net->betainit.begin(),net->betainit.end(),net->betainit.begin(),bind1st(multiplies<double>(),2*l)); - return net; -} -extern float MINCOUNTINCREASE; - -void hmm::em_loop(Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test,bool doInit,int -){ - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS ) - of2.open(alignfile); - sentPair sent ; - - while(sHandler1.getNextSentence(sent)){ - const Vector<WordIndex>& es = sent.get_eSent();// # - const Vector<WordIndex>& fs = sent.get_fSent(); - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size());// # - - unsigned int I=2*l,J=m; - bool DependencyOfJ=(CompareAlDeps&(16|8))||(PredictionInAlignments==2); - bool DependencyOfPrevAJ=(CompareAlDeps&(2|4))||(PredictionInAlignments==0); - HMMNetwork *net=makeHMMNetwork(es,fs,doInit); - Array<double> gamma; - Array<Array2<double> > epsilon(DependencyOfJ?(m-1):1); - double trainProb; - trainProb=ForwardBackwardTraining(*net,gamma,epsilon); - if( !test ){ - double *gp=conv<double>(gamma.begin()); - for(unsigned int i2=0;i2<J;i2++)for(unsigned int i1=0;i1<I;++i1,++gp){ - if( *gp>MINCOUNTINCREASE ) { - COUNT add= *gp*so; - if( i1>=l ){ - tTable.incCount(es[0],fs[1+i2],add); - aCountTable.addValue(0,i2+1,l,m,add); - //aCountTable.getRef(0,i2+1,l,m)+=add; - } else { - tTable.incCount(es[1+i1],fs[1+i2],add); - aCountTable.addValue(1+i1,1+i2,l,m,add); - //aCountTable.getRef(1+i1,1+i2,l,m)+=add; - } - } - } - double p0c=0.0,np0c=0.0; - for(unsigned int jj=0;jj<epsilon.size();jj++){ - int frenchClass=fwordclasses.getClass(fs[1+min(int(m)-1,int(jj)+1)]); - double *ep=epsilon[jj].begin(); - if( ep ){ - //for(i=0;i<I;i++) - // normalize_if_possible_with_increment(ep+i,ep+i+I*I,I); - // for(i=0;i<I*I;++i) - // ep[i] *= I; - //if( DependencyOfJ ) - // if( J-1 ) - // for(i=0;i<I*I;++i) - // ep[i] /= (J-1); - double mult=1.0; - mult*=l; - //if( DependencyOfJ && J-1) - // mult/=(J-1); - for(i=0;i<I;i++){ - for(unsigned int i_bef=0;i_bef<I;i_bef++,ep++){ - CLASSIFY(i,i_empty,ireal); - CLASSIFY2(i_bef,i_befreal); - if( i_empty ) - p0c+=*ep * mult; - else{ - counts.addAlCount(i_befreal,ireal,l,m,ewordclasses.getClass(es[1+i_befreal]), - frenchClass ,jj+1,*ep * mult,0.0); - np0c+=*ep * mult; - } - massert( &epsilon[jj](i,i_bef)== ep); - } - } - } - } - double *gp1=conv<double>(gamma.begin()),*gp2=conv<double>(gamma.end())-I; - pair<Array<double>,Mutex >&ai0=counts.doGetAlphaInit(I); - Array<double>&ai = ai0.first; - pair<Array<double>,Mutex >&bi0=counts.doGetBetaInit(I); - Array<double>&bi = bi0.first; - int firstFrenchClass=(fs.size()>1)?(fwordclasses.getClass(fs[1+0])):0; - ai0.second.lock(); - for(i=0;i<I;i++,gp1++){ - CLASSIFY(i,i_empty,ireal); - ai[i]+= *gp1; - //bi[i]+= *gp2; - if( DependencyOfPrevAJ==0 ){ - if( i_empty ) - p0c+=*gp1; - else{ - counts.addAlCount(-1,ireal,l,m,0,firstFrenchClass,0,*gp1,0.0); - np0c+=*gp1; - } - } - } - ai0.second.unlock(); - bi0.second.lock(); - for(i=0;i<I;i++,gp2++){ - CLASSIFY(i,i_empty,ireal); - bi[i]+= *gp2; - } - bi0.second.unlock(); - if( Verbose ) - cout << "l: " << l << "m: " << m << " p0c: " << p0c << " np0c: " << np0c << endl; - } - cross_entropy+=log(max(trainProb,1e-100))+log(max(net->finalMultiply,1e-100)); - Array<int>vit; - double viterbi_score=1.0; - if( (HMMTrainingSpecialFlags&1) ) - HMMViterbi(*net,gamma,vit); - else - viterbi_score=HMMRealViterbi(*net,vit); - for(j=1;j<=m;j++){ - viterbi_alignment[j]=vit[j-1]+1; - if( viterbi_alignment[j]>l) - viterbi_alignment[j]=0; - } - sHandler1.setProbOfSentence(sent,cross_entropy); - perp.addFactor(cross_entropy, so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score)+log(max(net->finalMultiply,1e-100)), so, l, m,1); - if( Verbose ) - cout << "Viterbi-perp: " << log(viterbi_score) << ' ' << log(max(net->finalMultiply,1e-100)) << ' ' << viterbi_score << ' ' << net->finalMultiply << ' ' << *net << "gamma: " << gamma << endl; - delete net;net=0; - if (dump_alignment||(FEWDUMPS&&sent.getSentenceNo()<1000) ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, viterbi_alignment, sent.getSentenceNo(), viterbi_score); - addAL(viterbi_alignment,sent.getSentenceNo(),l); - pair_no++; - } /* of while */ - -} - -void hmm::clearCountTable(){counts=HMMTables<int,WordClasses>(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses);} - -#if 0 -CTTableDiff<COUNT,PROB>* hmm::em_loop_1(Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test,bool doInit,int -){ - CTTableDiff<COUNT,PROB> *diff = new CTTableDiff<COUNT,PROB>(); - //diff->incCount(1,1,0); - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS ) - of2.open(alignfile); - sentPair sent ; - sHandler1.rewind(); - int nnn = 0; - while(sHandler1.getNextSentence(sent)){ - nnn ++; - cout << nnn << endl; - cout << 1 << endl; - const Vector<WordIndex>& es = sent.get_eSent(); - const Vector<WordIndex>& fs = sent.get_fSent(); - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size()); - - unsigned int I=2*l,J=m; - bool DependencyOfJ=(CompareAlDeps&(16|8))||(PredictionInAlignments==2); - bool DependencyOfPrevAJ=(CompareAlDeps&(2|4))||(PredictionInAlignments==0); - cout << 2 << endl; - HMMNetwork *net=makeHMMNetwork(es,fs,doInit); - Array<double> gamma; - Array<Array2<double> > epsilon(DependencyOfJ?(m-1):1); - double trainProb; - cout << 2.5 << endl; - trainProb=ForwardBackwardTraining(*net,gamma,epsilon); - cout << 3 << endl; - if( !test ){ - double *gp=conv<double>(gamma.begin()); - cout << 4 << endl; - for(unsigned int i2=0;i2<J;i2++)for(unsigned int i1=0;i1<I;++i1,++gp){ - if( *gp>MINCOUNTINCREASE ) { - COUNT add= *gp*so; - if( i1>=l ){ - diff->incCount(es[0],fs[1+i2],add); - //tTable.incCount(es[0],fs[1+i2],add); - aCountTable.getRef(0,i2+1,l,m)+=add; - } else { - diff->incCount(es[1+i1],fs[1+i2],add); - //tTable.incCount(es[1+i1],fs[1+i2],add); - aCountTable.getRef(1+i1,1+i2,l,m)+=add; - } - } - } - cout << 5 << endl; - double p0c=0.0,np0c=0.0; - for(unsigned int jj=0;jj<epsilon.size();jj++){ - if (nnn==7779) cout << 1 << endl; - int frenchClass=fwordclasses.getClass(fs[1+min(int(m)-1,int(jj)+1)]); - if (nnn==7779) cout << 2 << endl; - double *ep=epsilon[jj].begin(); - if (nnn==7779) cout << 3 << endl; - if( ep ){ - //for(i=0;i<I;i++) - // normalize_if_possible_with_increment(ep+i,ep+i+I*I,I); - // for(i=0;i<I*I;++i) - // ep[i] *= I; - //if( DependencyOfJ ) - // if( J-1 ) - // for(i=0;i<I*I;++i) - // ep[i] /= (J-1); - double mult=1.0; - mult*=l; - //if( DependencyOfJ && J-1) - // mult/=(J-1); - if (nnn==7779) cout << 4 << ":" << I << endl; - for(i=0;i<I;i++){ - if (nnn==7779) cout << "i:" << i << endl; - for(unsigned int i_bef=0;i_bef<I;i_bef++,ep++){ - if (nnn==7779) cout << " CL 1" << endl; - CLASSIFY(i,i_empty,ireal); - if (nnn==7779) cout << " CL 2 : " << i_bef << " " << (size_t)ep << endl; - CLASSIFY2(i_bef,i_befreal); - if((i+1)*(i_bef+1)>epsilon[jj].getLen1()*epsilon[jj].getLen2()){ - continue; - } - if( i_empty ) - p0c+=epsilon[jj](i,i_bef)*mult;// p0c+=*ep * mult; - else{ - if (nnn==7779) cout << "ELSE" << endl; - if (nnn==7779){ - cout << i_befreal<<" " <<ireal<<" " << l<<" " << m<<" "<< jj<<" "<<epsilon.size()<< " " << epsilon[jj].getLen1() <<" " << epsilon[jj].getLen2()<< endl; - np0c+=epsilon[jj](i,i_bef)*mult; - cout <<"..."<<endl; - cout <<"......"<<ewordclasses.getClass(es[1+i_befreal]) << endl; - cout <<"......"<<endl; - counts.addAlCount(i_befreal,ireal,l,m,ewordclasses.getClass(es[1+i_befreal]), - frenchClass ,jj+1,0,0.0); - np0c+=epsilon[jj](i,i_bef)*mult; - } - else{ - counts.addAlCount(i_befreal,ireal,l,m,ewordclasses.getClass(es[1+i_befreal]), - frenchClass ,jj+1,epsilon[jj](i,i_bef)*mult,0.0); - np0c+=epsilon[jj](i,i_bef)*mult; - } - } - if (nnn==7779) cout << "FI" << endl; - massert( &epsilon[jj](i,i_bef)== ep); - } - } - if (nnn==7779) cout << 5 << endl; - } - } - // cout << 6 << endl; - double *gp1=conv<double>(gamma.begin()),*gp2=conv<double>(gamma.end())-I; - Array<double>&ai=counts.doGetAlphaInit(I);/*If it is not get yet, init it, all operation envolved is add*/ - Array<double>&bi=counts.doGetBetaInit(I); - int firstFrenchClass=(fs.size()>1)?(fwordclasses.getClass(fs[1+0])):0; - for(i=0;i<I;i++,gp1++,gp2++){ - CLASSIFY(i,i_empty,ireal); - ai[i]+= *gp1; - bi[i]+= *gp2; - if( DependencyOfPrevAJ==0 ){ - if( i_empty ) - p0c+=*gp1; - else{ - counts.addAlCount(-1,ireal,l,m,0,firstFrenchClass,0,*gp1,0.0); - np0c+=*gp1; - } - } - } - // cout << 7 << endl; - if( Verbose ) - cout << "l: " << l << "m: " << m << " p0c: " << p0c << " np0c: " << np0c << endl; - } - //cout << 8 << endl; - cross_entropy+=log(max(trainProb,1e-100))+log(max(net->finalMultiply,1e-100)); - Array<int>vit; - double viterbi_score=1.0; - //cout << 9 << endl; - if( (HMMTrainingSpecialFlags&1) ) - HMMViterbi(*net,gamma,vit); - else - viterbi_score=HMMRealViterbi(*net,vit); - //cout << 10 << endl; - for(j=1;j<=m;j++){ - viterbi_alignment[j]=vit[j-1]+1; - if( viterbi_alignment[j]>l) - viterbi_alignment[j]=0; - } - //cout << 11 << endl; - sHandler1.setProbOfSentence(sent,cross_entropy); - //cout << 12 << endl; - perp.addFactor(cross_entropy, so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score)+log(max(net->finalMultiply,1e-100)), so, l, m,1); - if( Verbose ) - cout << "Viterbi-perp: " << log(viterbi_score) << ' ' << log(max(net->finalMultiply,1e-100)) << ' ' << viterbi_score << ' ' << net->finalMultiply << ' ' << *net << "gamma: " << gamma << endl; - delete net;net=0; - //cout << 13 << endl; - if (dump_alignment||(FEWDUMPS&&sent.getSentenceNo()<1000) ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, viterbi_alignment, sent.getSentenceNo(), viterbi_score); - //cout << 14 << endl; - addAL(viterbi_alignment,sent.getSentenceNo(),l); - pair_no++; - } /* of while */ - sHandler1.rewind(); - perp.record("HMM"); - viterbi_perp.record("HMM"); - errorReportAL(cout,"HMM"); - return diff; -} - -#endif -Mutex mu; - -#if 0 -void hmm::em_loop_2(Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test,bool doInit,int part -){ - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS ) - of2.open(alignfile); - sentPair sent ; - //sHandler1.rewind(); - int nnn = 0; - while(sHandler1.getNextSentence(sent)){ - //nnn ++; - //cout << nnn << endl; - //cout << 1 << endl; - const Vector<WordIndex>& es = sent.get_eSent(); - const Vector<WordIndex>& fs = sent.get_fSent(); - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size()); - - unsigned int I=2*l,J=m; - bool DependencyOfJ=(CompareAlDeps&(16|8))||(PredictionInAlignments==2); - bool DependencyOfPrevAJ=(CompareAlDeps&(2|4))||(PredictionInAlignments==0); - - HMMNetwork *net=makeHMMNetwork(es,fs,doInit); - Array<double> gamma; - Array<Array2<double> > epsilon(DependencyOfJ?(m-1):1); - double trainProb; - trainProb=ForwardBackwardTraining(*net,gamma,epsilon); - if( !test ){ - double *gp=conv<double>(gamma.begin()); - for(unsigned int i2=0;i2<J;i2++)for(unsigned int i1=0;i1<I;++i1,++gp){ - if( *gp>MINCOUNTINCREASE ) { - COUNT add= *gp*so; - if( i1>=l ){ - //diff->incCount(es[0],fs[1+i2],add); - tTable.incCount(es[0],fs[1+i2],add); - aCountTable.getRef(0,i2+1,l,m)+=add; - } else { - //diff->incCount(es[1+i1],fs[1+i2],add); - tTable.incCount(es[1+i1],fs[1+i2],add); - aCountTable.getRef(1+i1,1+i2,l,m)+=add; - } - } - } - double p0c=0.0,np0c=0.0; - for(unsigned int jj=0;jj<epsilon.size();jj++){ - int frenchClass=fwordclasses.getClass(fs[1+min(int(m)-1,int(jj)+1)]); - double *ep=epsilon[jj].begin(); - if( ep ){ - double mult=1.0; - mult*=l; - //if( DependencyOfJ && J-1) - // mult/=(J-1); - for(i=0;i<I;i++){ - for(unsigned int i_bef=0;i_bef<I;i_bef++,ep++){ - CLASSIFY(i,i_empty,ireal); - CLASSIFY2(i_bef,i_befreal); - if( i_empty ){ - p0c+=*ep * mult; - }else{ - //mu.lock(); - //cout<<"\rP "<<part<<" "; - //cout<<epsilon.size()<<" "<<jj<<" "; - //cout<<epsilon[jj].h1<<" " << epsilon[jj].h2<<" "; - //cout<<i<<" "<<i_bef<<" "; - //cout<<I<<" "<<J<<" "; - - cout.flush(); - counts.addAlCount(i_befreal,ireal,l,m,ewordclasses.getClass(es[1+i_befreal]), - frenchClass ,jj+1,*ep * mult,0.0); - np0c+=*ep * mult; - //mu.unlock(); - } - massert( &epsilon[jj](i,i_bef)== ep); - } - } - } - } - double *gp1=conv<double>(gamma.begin()),*gp2=conv<double>(gamma.end())-I; - Array<double>&ai=counts.doGetAlphaInit(I);/*If it is not get yet, init it, all operation envolved is add*/ - Array<double>&bi=counts.doGetBetaInit(I); - int firstFrenchClass=(fs.size()>1)?(fwordclasses.getClass(fs[1+0])):0; - for(i=0;i<I;i++,gp1++,gp2++){ - CLASSIFY(i,i_empty,ireal); - ai[i]+= *gp1; - bi[i]+= *gp2; - if( DependencyOfPrevAJ==0 ){ - if( i_empty ) - p0c+=*gp1; - else{ - counts.addAlCount(-1,ireal,l,m,0,firstFrenchClass,0,*gp1,0.0); - np0c+=*gp1; - } - } - } - // cout << 7 << endl; - if( Verbose ) - cout << "l: " << l << "m: " << m << " p0c: " << p0c << " np0c: " << np0c << endl; - } - //cout << 8 << endl; - cross_entropy+=log(max(trainProb,1e-100))+log(max(net->finalMultiply,1e-100)); - Array<int>vit; - double viterbi_score=1.0; - //cout << 9 << endl; - if( (HMMTrainingSpecialFlags&1) ) - HMMViterbi(*net,gamma,vit); - else - viterbi_score=HMMRealViterbi(*net,vit); - //cout << 10 << endl; - for(j=1;j<=m;j++){ - viterbi_alignment[j]=vit[j-1]+1; - if( viterbi_alignment[j]>l) - viterbi_alignment[j]=0; - } - //cout << 11 << endl; - sHandler1.setProbOfSentence(sent,cross_entropy); - //cout << 12 << endl; - perp.addFactor(cross_entropy, so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score)+log(max(net->finalMultiply,1e-100)), so, l, m,1); - if( Verbose ) - cout << "Viterbi-perp: " << log(viterbi_score) << ' ' << log(max(net->finalMultiply,1e-100)) << ' ' << viterbi_score << ' ' << net->finalMultiply << ' ' << *net << "gamma: " << gamma << endl; - delete net;net=0; - //cout << 13 << endl; - if (dump_alignment||(FEWDUMPS&&sent.getSentenceNo()<1000) ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, viterbi_alignment, sent.getSentenceNo(), viterbi_score); - //cout << 14 << endl; - addAL(viterbi_alignment,sent.getSentenceNo(),l); - pair_no++; - } /* of while */ - - - return ; -} - - -CTTableDiff<COUNT,PROB>* hmm::em_one_step(int it){ - double minErrors=1.0;int minIter=0; - string modelName="Hmm",shortModelName="hmm"; - int dumpFreq=ModelH_Dump_Freq; - time_t it_st, st, it_fn, fn; - string tfile, afile,afileh, number, alignfile, test_alignfile; - int pair_no = 0; - bool dump_files = false ; - ofstream of2 ; - st = time(NULL) ; - sHandler1.rewind(); - cout << "\n==========================================================\n"; - cout << modelName << " Training Started at: " << ctime(&st); - pair_no = 0; - - cout << endl << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = true ;//(dumpFreq != 0) && ((it % dumpFreq) == 0) && !NODUMPS; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - afile = Prefix + ".a" + shortModelName + "." + number ; - afileh = Prefix + ".h" + shortModelName + "." + number ; - alignfile = Prefix + ".AH" ; - test_alignfile = Prefix + ".tst.A" + shortModelName + "." + number ; - counts=HMMTables<int,WordClasses>(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses); - aCountTable.clear(); - initAL(); - CTTableDiff<COUNT,PROB>* diff =em_loop_1(perp, sHandler1, dump_files , alignfile.c_str(), trainViterbiPerp, false,it==1,it); - - if( errorsAL()<minErrors ){ - minErrors=errorsAL(); - minIter=it; - } - // if (testPerp && testHandler) -// em_loop(*testPerp, *testHandler, dump_files, test_alignfile.c_str(), *testViterbiPerp, true,it==1,it); -// if (dump_files&&OutputInAachenFormat==1) -// tTable.printCountTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),1); -// tTable.normalizeTable(Elist, Flist); -// aCountTable.normalize(aTable); -// probs=counts; -// cout << modelName << ": ("<<it<<") TRAIN CROSS-ENTROPY " << perp.cross_entropy() -// << " PERPLEXITY " << perp.perplexity() << '\n'; -// if (testPerp && testHandler) -// cout << modelName << ": ("<<it<<") TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() -// << " PERPLEXITY " << (*testPerp).perplexity() -// << '\n'; -// cout << modelName << ": ("<<it<<") VITERBI TRAIN CROSS-ENTROPY " << trainViterbiPerp.cross_entropy() -// << " PERPLEXITY " << trainViterbiPerp.perplexity() << '\n'; -// if (testPerp && testHandler) -// cout << modelName << ": ("<<it<<") VITERBI TEST CROSS-ENTROPY " << testViterbiPerp->cross_entropy() -// << " PERPLEXITY " << testViterbiPerp->perplexity() -// << '\n'; -// if (dump_files){ -// if( OutputInAachenFormat==0) -/// tTable.printProbTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),OutputInAachenFormat); - // ofstream afilestream(afileh.c_str()); - // probs.writeJumps(afilestream); - // aCountTable.printTable(afile.c_str()); - - fn = time(NULL) ; - cout << endl << "Entire " << modelName << " Training took: " << difftime(fn, st) << " seconds\n"; - //cout << "tTable contains " << tTable.getHash().bucket_count() - // << " buckets and " << tTable.getHash().size() << " entries." ; - cout << "==========================================================\n"; - return diff; -} - - -void hmm::em_one_step_2(int it,int part){ - double minErrors=1.0;int minIter=0; - string modelName="Hmm",shortModelName="hmm"; - int dumpFreq=ModelH_Dump_Freq; - time_t it_st, st, it_fn, fn; - string tfile, afile,afileh, number, alignfile, test_alignfile; - int pair_no = 0; - bool dump_files = false ; - ofstream of2 ; - - pair_no = 0; - - - dump_files = true ;//(dumpFreq != 0) && ((it % dumpFreq) == 0) && !NODUMPS; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - afile = Prefix + ".a" + shortModelName + "." + number ; - afileh = Prefix + ".h" + shortModelName + "." + number ; - alignfile = Prefix + ".Ahmm." ; - char v[2]; - v[1] = 0; - v[0] = '0' + it; - alignfile += v; - alignfile += ".part"; - v[0] = '0' + part; - alignfile += v; - - counts=HMMTables<int,WordClasses>(GLOBALProbabilityForEmpty,ewordclasses,fwordclasses); - aCountTable.clear(); - initAL(); - em_loop_2(perp, sHandler1, dump_files , alignfile.c_str(), trainViterbiPerp, false,it==1,part); - - if( errorsAL()<minErrors ){ - minErrors=errorsAL(); - minIter=it; - } - return ; -} - -struct hmm_align_struct{ - hmm *h; - int part; - int iter; - int valid; - pthread_t thread; - int done; -}; - -void* em_thread(void *arg){ - hmm_align_struct * hm = (hmm_align_struct*) arg; - hm->h->em_one_step_2(hm->iter,hm->part); - hm->done = 1; - return hm; -} - - -int multi_thread_em(int noIter, int noThread, hmm* base){ - // First, do one-step EM - int i; - int j; - time_t it_st, st, it_fn, fn; - fn = time(NULL); - int dumpFreq=ModelH_Dump_Freq; - bool dump_files = false ; - string modelName = "HMM",shortModelName="hmm"; - string tfile, afile,acfile,afileh, number, alignfile, test_alignfile; - vector<amodel<COUNT> > counts; - vector<model2 *> m2; - counts.resize(noThread); - m2.resize(noThread); - for(j=1;j<noThread;j++){ - m2[j] = new model2(*((model1*)base),base->aTable,counts[j]); - } - st = time(NULL); - cout << "\n==========================================================\n"; - cout << modelName << " Training Started at: " << ctime(&st); - - for(i=1;i<=noIter;i++){ - base->perp.clear(); - base->trainViterbiPerp.clear(); - if (base->testPerp && base->testHandler){ - base->testHandler->rewind(); - base->testPerp->clear(); - base->testViterbiPerp->clear(); - } - - it_st = time(NULL) ; - - cout << endl << "-----------\n" << modelName << ": Iteration " << i << '\n'; - dump_files = (dumpFreq != 0) && ((i % dumpFreq) == 0) && !NODUMPS; - dump_files = true; - string number = ""; - int n = i; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - afile = Prefix + ".a" + shortModelName + "." + number ; - acfile = Prefix + ".ac" + shortModelName + "." + number ; - afileh = Prefix + ".h" + shortModelName + "." + number ; - - alignfile = Prefix + ".A" + shortModelName + "." + number ; - test_alignfile = Prefix + ".tst.A" + shortModelName + "." + number ; - base->initAL(); - // except the current thread - vector<hmm_align_struct> args; - base->sHandler1.rewind(); - args.resize(noThread); - for(j=1;j<noThread;j++){ - args[j].iter = i; - args[j].part = j; - args[j].done = 0; - counts[j].clear(); - args[j].h = new hmm(*m2[j],base->ewordclasses,base->fwordclasses); - args[j].h->probs = base->probs; - args[j].valid = pthread_create(&(args[j].thread),NULL,em_thread,&(args[j])); - if(args[j].valid){ - cerr << "Error starting thread " << j << endl; - } - } - base->em_one_step_2(i,0); - //ofstream afilestream(afileh.c_str()); - while(1){ - bool done = true; - for (j=1;j<noThread;j++){ - //pthread_join((args[j].thread),NULL); - // Start normalization as soon as possible - if(args[j].done==1){ - args[j].done = 2; - base->aCountTable.merge(args[j].h->aCountTable); - //afilestream << "BEFORE MERGE"<<endl; - //base->counts.writeJumps(afilestream); - //afilestream << "MERGING"<<endl; - //args[j].h->counts.writeJumps(afilestream); - //afilestream << "MERGED"<<endl; - base->counts.merge(args[j].h->counts); - //base->counts.writeJumps(afilestream); - delete args[j].h; - args[j].h = 0; - }else if(args[j].done==2){ - // Nothing - }else if(args[j].done==0){ - done = false; - } - } - if(done) break; - } - base->perp.record("HMM"); - base->trainViterbiPerp.record("HMM"); - base->errorReportAL(cout,"HMM"); - - // Normalize -// cout <<" Writing " << afileh <<"\n"; - base->probs = base->counts; -// cout <<" Writing " << afileh <<"\n"; -// ofstream afilestream(afileh.c_str()); -// base->probs.writeJumps(afilestream); - base->tTable.normalizeTable(base->Elist, base->Flist); - base->aCountTable.normalize(base->aTable); - base->aCountTable.clear(); - if (base->testPerp && base->testHandler) - base->em_loop(*base->testPerp, *base->testHandler, dump_files, test_alignfile.c_str(), *base->testViterbiPerp, true,i==1,i); - if (dump_files&&OutputInAachenFormat==1) - base->tTable.printCountTable(tfile.c_str(),base->Elist.getVocabList(),base->Flist.getVocabList(),1); - cout << modelName << ": ("<<i<<") TRAIN CROSS-ENTROPY " << base->perp.cross_entropy() - << " PERPLEXITY " << base->perp.perplexity() << '\n'; - if (base->testPerp && base->testHandler) - cout << modelName << ": ("<<i<<") TEST CROSS-ENTROPY " << base->testPerp->cross_entropy() - << " PERPLEXITY " << base->testPerp->perplexity() - << '\n'; - cout << modelName << ": ("<<i<<") VITERBI TRAIN CROSS-ENTROPY " << base->trainViterbiPerp.cross_entropy() - << " PERPLEXITY " << base->trainViterbiPerp.perplexity() << '\n'; - if (base->testPerp && base->testHandler) - cout << modelName << ": ("<<i<<") VITERBI TEST CROSS-ENTROPY " << base->testViterbiPerp->cross_entropy() - << " PERPLEXITY " << base->testViterbiPerp->perplexity() - << '\n'; - dump_files = true; - if (dump_files){ - if( OutputInAachenFormat==0) - base->tTable.printProbTable(tfile.c_str(),base->Elist.getVocabList(),base->Flist.getVocabList(),OutputInAachenFormat); - ofstream afilestream(afileh.c_str()); - base->counts.writeJumps(afilestream); - //base->counts.clear(); - base->aCountTable.printTable(acfile.c_str()); - base->aTable.printTable(afile.c_str()); - } - it_fn = time(NULL) ; - - cout << "\n" << modelName << " Iteration: " << i<< " took: " << - difftime(it_fn, it_st) << " seconds\n"; - - } - for(j=1;j<noThread;j++){ - delete m2[j]; - } - cout << endl << "Entire " << modelName << " Training took: " << difftime(fn, st) << " seconds\n"; 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install-exec install-exec-am install-html install-html-am \ - install-info install-info-am install-man install-pdf \ - install-pdf-am install-ps install-ps-am install-strip \ - installcheck installcheck-am installdirs maintainer-clean \ - maintainer-clean-generic mostlyclean mostlyclean-compile \ - mostlyclean-generic pdf pdf-am ps ps-am tags uninstall \ - uninstall-am uninstall-binPROGRAMS - -# Tell versions [3.59,3.63) of GNU make to not export all variables. -# Otherwise a system limit (for SysV at least) may be exceeded. -.NOEXPORT: diff --git a/experimental/alignment-enabled/MGIZA/src/model1.cpp b/experimental/alignment-enabled/MGIZA/src/model1.cpp deleted file mode 100644 index e649f8d..0000000 --- a/experimental/alignment-enabled/MGIZA/src/model1.cpp +++ /dev/null @@ -1,601 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "model1.h" -#include "Globals.h" -#include "utility.h" -#include "Parameter.h" - -extern short NoEmptyWord; -extern int VerboseSentence; - -extern short NCPUS; - -GLOBAL_PARAMETER2(int,Model1_Dump_Freq,"MODEL 1 DUMP FREQUENCY","t1","dump frequency of Model 1",PARLEV_OUTPUT,0); -int NumberOfVALIalignments=100; - -model1::model1(const char* efname, vcbList& evcblist, vcbList& fvcblist,tmodel<COUNT, PROB>&_tTable,Perplexity& _perp, - sentenceHandler& _sHandler1, - Perplexity* _testPerp, - sentenceHandler* _testHandler, - Perplexity& _trainViterbiPerp, - Perplexity* _testViterbiPerp): - report_info(_perp,_sHandler1,_testPerp,_testHandler,_trainViterbiPerp,_testViterbiPerp), - efFilename(efname), Elist(evcblist), Flist(fvcblist), - eTotalWCount(Elist.totalVocab()), fTotalWCount(Flist.totalVocab()), - noEnglishWords(Elist.size()), noFrenchWords(Flist.size()), tTable(_tTable), - evlist(Elist.getVocabList()), fvlist(Flist.getVocabList()) -{} - -model1::model1 (const model1& m1, int _threadID): -report_info(m1),efFilename(m1.efFilename), -Elist(m1.Elist),Flist(m1.Flist),eTotalWCount(m1.eTotalWCount),fTotalWCount(m1.fTotalWCount), -noEnglishWords(m1.noEnglishWords),noFrenchWords(m1.noFrenchWords),tTable(m1.tTable), -evlist(m1.evlist),fvlist(m1.fvlist) -{} - -void model1::initialize_table_uniformly(sentenceHandler& sHandler1){ - WordIndex i, j; - - cout << "Initialize tTable\n"; - - sentPair sent ; - sHandler1.rewind(); - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - PROB uniform = 1.0/es.size() ; - for( i=0; i < es.size(); i++) - for(j=1; j < fs.size(); j++) - tTable.insert(es[i],fs[j],0,uniform); - } -} - -struct em_loop_t{ - model1 *m1; - int it; - int nthread; - Dictionary *dict; - bool useDict; - int result; - pthread_t thread; - int valid ; -}; - -void* exe_emloop(void *arg){ - em_loop_t* em =(em_loop_t *) arg; - em->result = em->m1->em_thread(em->it,em->nthread,*em->dict,em->useDict); - return arg; -} - -int model1::em_thread(int noIterations, int nthread, /*Perplexity& perp, sentenceHandler& sHandler1, */ - Dictionary& dictionary, bool useDict /*Perplexity* testPerp, sentenceHandler* testHandler, - Perplexity& trainViterbiPerp, Perplexity* testViterbiPerp */ ) -{ - double minErrors=1.0;int minIter=0; - string modelName="Model1",shortModelName="1"; - char b[2]; - b[1] = '\0'; - b[0] = '0' + nthread; - time_t st, it_st, fn, it_fn; - string tfile, number, alignfile, test_alignfile; - int pair_no; - bool dump_files = false ; - cout << "==========================================================\n"; - cout << modelName << " Training Started at: "<< ctime(&st) << "\n"; - int it = noIterations; - pair_no = 0 ; - it_st = time(NULL); - cout << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = (Model1_Dump_Freq != 0) && ((it % Model1_Dump_Freq) == 0) && !NODUMPS ; -// dump_files = true; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - alignfile = Prefix + ".A" + shortModelName + "." + number + ".part" ; - alignfile = alignfile + b; - - em_loop(it,perp, sHandler1, false, dump_files, alignfile.c_str(), dictionary, useDict, trainViterbiPerp); - return minIter; -} - -int model1::em_with_tricks(int noIterations, /*Perplexity& perp, sentenceHandler& sHandler1, */ - bool seedModel1, Dictionary& dictionary, bool useDict /*Perplexity* testPerp, sentenceHandler* testHandler, - Perplexity& trainViterbiPerp, Perplexity* testViterbiPerp */ -, bool dumpCount , const char* dumpCountName, bool useString) // If specified, then will dump files before last iteration -{ - double minErrors=1.0;int minIter=0; - string modelName="Model1",shortModelName="1"; - time_t st, it_st, fn, it_fn; - string tfile, number, alignfile, test_alignfile; - int pair_no; - bool dump_files = false ; - st = time(NULL); - sHandler1.rewind(); - cout << "==========================================================\n"; - cout << modelName << " Training Started at: "<< ctime(&st) << "\n"; - for(int it = 1; it <= noIterations; it++){ - pair_no = 0 ; - it_st = time(NULL); - cout << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = (Model1_Dump_Freq != 0) && ((it % Model1_Dump_Freq) == 0) && !NODUMPS ; - //dump_files = true; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - alignfile = Prefix + ".A" + shortModelName + "." + number+".part0" ; - test_alignfile = Prefix +".tst.A" + shortModelName + "." + number ; - initAL(); - threadID = 0; - int th; - vector<em_loop_t> ths; - ths.resize(NCPUS); - sHandler1.rewind(); - for (th=1;th<NCPUS;th++){ - ths[th].m1=this; - ths[th].it = it; - ths[th].nthread = th; - ths[th].dict = & dictionary; - ths[th].useDict = useDict; - ths[th].result = 0; - ths[th].valid = pthread_create(&(ths[th].thread),NULL,exe_emloop,&(ths[th])); - if(ths[th].valid){ - cerr << "Error starting thread " << th << endl; - } - } - em_loop(it,perp, sHandler1, seedModel1, dump_files, alignfile.c_str(), dictionary, useDict, trainViterbiPerp); - perp.record("Model1"); - trainViterbiPerp.record("Model1"); - errorReportAL(cout, "IBM-1"); - - cerr << "Main thread done, waiting" << endl;; - for (th=1;th<NCPUS;th++){ - pthread_join((ths[th].thread),NULL); - cerr << "Thread " << th << "done" << endl; - } - if (testPerp && testHandler) // calculate test perplexity - em_loop(it,*testPerp, *testHandler, seedModel1, dump_files, test_alignfile.c_str(), dictionary, useDict, *testViterbiPerp, true); - if( errorsAL()<minErrors ) { - minErrors=errorsAL(); - minIter=it; - } - //if (dump_files){ - // if( OutputInAachenFormat==1 ) - // tTable.printCountTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),1); - //} - cerr << "Normalizing T " << endl; - - /** - If asked for dumping count table, just dump it. - */ - if(dumpCount && it == noIterations){ - string realTableName = dumpCountName; - realTableName += ".t.count"; - tTable.printCountTable(realTableName.c_str(),Elist.getVocabList(),Flist.getVocabList(),useString); - } - - tTable.normalizeTable(Elist, Flist); - //cout << tTable.getProb(2,2) << endl; - cerr << " DONE Normalizing " << endl; - cout << modelName << ": ("<<it<<") TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<") TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() - << " PERPLEXITY " << (*testPerp).perplexity() - << '\n'; - cout << modelName << ": ("<<it<<") VITERBI TRAIN CROSS-ENTROPY " << trainViterbiPerp.cross_entropy() - << " PERPLEXITY " << trainViterbiPerp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<< - it<<") VITERBI TEST CROSS-ENTROPY " - << (*testViterbiPerp).cross_entropy() - << " PERPLEXITY " << (*testViterbiPerp).perplexity() - << '\n'; - if (dump_files){ - if( OutputInAachenFormat==0 ) - tTable.printProbTable(tfile.c_str(),Elist.getVocabList(), - Flist.getVocabList(),OutputInAachenFormat); - } - it_fn = time(NULL); - cout << "Model 1 Iteration: " << it<< " took: " << difftime(it_fn, it_st) << " seconds\n"; - - - } - fn = time(NULL) ; - cout << "Entire " << modelName << " Training took: " << difftime(fn, st) << " seconds\n"; - return minIter; -} - -bool model1::load_table(const char* tname){ - /* This function loads the t table from the given file; use it - when you want to load results from previous t training - without doing any new training. - NAS, 7/11/99 - */ - cout << "Model1: loading t table \n" ; - return tTable.readProbTable(tname); -} - - -extern float MINCOUNTINCREASE; -void model1::em_loop(int it,Perplexity& perp, sentenceHandler& sHandler1, bool seedModel1, - bool dump_alignment, const char* alignfile, Dictionary& dict, bool useDict, Perplexity& viterbi_perp, bool test) -{ - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS) - of2.open(alignfile); - PROB uniform = 1.0/noFrenchWords ; - sentPair sent ; - - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size()); - double viterbi_score = 1 ; - - bool eindict[l + 1]; - bool findict[m + 1]; - bool indict[m + 1][l + 1]; - if(it == 1 && useDict){ - for(unsigned int dummy = 0; dummy <= l; dummy++) eindict[dummy] = false; - for(unsigned int dummy = 0; dummy <= m; dummy++){ - findict[dummy] = false; - for(unsigned int dummy2 = 0; dummy2 <= l; dummy2++) - indict[dummy][dummy2] = false; - } - for(j = 0; j <= m; j++) - for(i = 0; i <= l; i++) - if(dict.indict(fs[j], es[i])){ - eindict[i] = findict[j] = indict[j][i] = true; - } - } - - for(j=1; j <= m; j++){ - // entries that map fs to all possible ei in this sentence. - Vector<LpPair<COUNT,PROB> *> sPtrCache(es.size(),0); // cache pointers to table - LpPair<COUNT,PROB> **sPtrCachePtr; - - PROB denom = 0.0; - WordIndex best_i = 0 ; // i for which fj is best maped to ei - PROB word_best_score = 0 ; // score for the best mapping of fj - if (it == 1 && !seedModel1){ - denom = uniform * es.size() ; - word_best_score = uniform ; - } - else - for((i=0),(sPtrCachePtr=&sPtrCache[0]); i <= l; i++,sPtrCachePtr++){ - PROB e(0.0) ; - (*sPtrCachePtr) = tTable.getPtr(es[i], fs[j]) ; - if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - denom += e ; - if (e > word_best_score){ - word_best_score = e ; - best_i = i ; - } - } - viterbi_alignment[j] = best_i ; - viterbi_score *= word_best_score ; /// denom ; - if (denom == 0){ - if (test) - cerr << "WARNING: denom is zero (TEST)\n"; - else - cerr << "WARNING: denom is zero (TRAIN)\n"; - } - cross_entropy += log(denom) ; - if (!test){ - if(denom > 0){ - COUNT val = COUNT(so) / (COUNT) double(denom) ; - /* this if loop implements a constraint on counting: - count(es[i], fs[j]) is implemented if and only if - es[i] and fs[j] occur together in the dictionary, - OR - es[i] does not occur in the dictionary with any fs[x] and - fs[j] does not occur in the dictionary with any es[y] - */ - if(it == 1 && useDict){ - for((i=0),(sPtrCachePtr=&sPtrCache[0]); i <= l; i++,sPtrCachePtr++){ - if(indict[j][i] || (!findict[j] && !eindict[i])){ - PROB e(0.0) ; - if (it == 1 && !seedModel1) - e = uniform ; - else if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - COUNT x=e*val; - if( (it==1 && !seedModel1)||x>MINCOUNTINCREASE ) - /* if ((*sPtrCachePtr) != 0) - (*((*sPtrCachePtr))).count += x; - else */ - tTable.incCount(es[i], fs[j], x); - } /* end of if */ - } /* end of for i */ - } /* end of it == 1 */ - // Old code: - else{ - for((i=0),(sPtrCachePtr=&sPtrCache[0]); i <= l; i++,sPtrCachePtr++){ - //for(i=0; i <= l; i++) { - PROB e(0.0) ; - if (it == 1 && !seedModel1) - e = uniform ; - else if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - //if( !(i==0) ) - //cout << "COUNT(e): " << e << " " << MINCOUNTINCREASE << endl; - COUNT x=e*val; - if( pair_no==VerboseSentence ) - cout << i << "(" << evlist[es[i]].word << ")," << j << "(" << fvlist[fs[j]].word << ")=" << x << endl; - if( (it==1 && !seedModel1)||x>MINCOUNTINCREASE ){ - /*if( NoEmptyWord==0 || i!=0 ) - if ((*sPtrCachePtr) != 0) - (*((*sPtrCachePtr))).count += x; - else */ - //cerr << i << " " << j << " (+) " << endl; - //cerr.flush(); - //cerr << es[i] << " " << fs[j] << " (=) "<< endl; - //cerr.flush(); - tTable.incCount(es[i], fs[j], x); - //cerr << es[i] << " " << fs[j] << " (-) "<< endl; - //cerr.flush(); - } - } /* end of for i */ - } // end of else - } // end of if (denom > 0) - }// if (!test) - } // end of for (j) ; - sHandler1.setProbOfSentence(sent,cross_entropy); - //cerr << sent << "CE: " << cross_entropy << " " << so << endl; - perp.addFactor(cross_entropy-m*log(l+1.0), so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score)-m*log(l+1.0), so, l, m,1); - if (dump_alignment||(FEWDUMPS&&sent.sentenceNo<1000)) - printAlignToFile(es, fs, evlist, fvlist, of2, viterbi_alignment, sent.sentenceNo, viterbi_score); - addAL(viterbi_alignment,sent.sentenceNo,l); - pair_no++; - } /* of while */ -} - -CTTableDiff<COUNT,PROB>* model1::one_step_em(int it, bool seedModel1, - Dictionary& dictionary, bool useDict){ - CTTableDiff<COUNT,PROB> *diff = new CTTableDiff<COUNT,PROB>(); - double minErrors=1.0;int minIter=0; - string modelName="Model1",shortModelName="1"; - time_t st, it_st, fn, it_fn; - string tfile, number, alignfile, test_alignfile; - int pair_no; - bool dump_files = false ; - st = time(NULL); - sHandler1.rewind(); - cout << "==========================================================\n"; - cout << modelName << " Training Started at: "<< ctime(&st) << "\n"; - pair_no = 0 ; - it_st = time(NULL); - cout << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = (Model1_Dump_Freq != 0) && ((it % Model1_Dump_Freq) == 0) && !NODUMPS ; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - alignfile = Prefix + ".A1" ; - test_alignfile = Prefix +".tst.A" + shortModelName + "." + number ; - initAL(); - em_loop_1(diff,it,perp, sHandler1, seedModel1, - dump_files, alignfile.c_str(), dictionary, useDict, trainViterbiPerp); - //if (testPerp && testHandler) // calculate test perplexity - // em_loop(it,*testPerp, *testHandler, seedModel1, dump_files, test_alignfile.c_str(), dictionary, useDict, *testViterbiPerp, true); - if( errorsAL()<minErrors ){ - minErrors=errorsAL(); - minIter=it; - } - fn = time(NULL) ; - cout << "Partial " << modelName << " Training took: " << difftime(fn, it_st) << " seconds\n"; - return diff; - } - - void model1::combine_one(CTTableDiff<COUNT,PROB>* cb){ - cb->AugmentTTable(tTable); - } - - void model1::recombine(){ - tTable.normalizeTable(Elist, Flist); - } - - void save_table(const char* tname){ -/* if (dump_files){ - * if( OutputInAachenFormat==0 ) - * tTable.printProbTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),OutputInAachenFormat); - */ - - } - - -void model1::em_loop_1(CTTableDiff<COUNT,PROB> *diff,int it,Perplexity& perp, sentenceHandler& sHandler1, bool seedModel1, - bool dump_alignment, const char* alignfile, Dictionary& dict, bool useDict, Perplexity& viterbi_perp, bool test) { - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS) - of2.open(alignfile); - PROB uniform = 1.0/noFrenchWords ; - sentPair sent ; - sHandler1.rewind(); - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size()); - double viterbi_score = 1 ; - - bool eindict[l + 1]; - bool findict[m + 1]; - bool indict[m + 1][l + 1]; - if(it == 1 && useDict){ - for(unsigned int dummy = 0; dummy <= l; dummy++) eindict[dummy] = false; - for(unsigned int dummy = 0; dummy <= m; dummy++){ - findict[dummy] = false; - for(unsigned int dummy2 = 0; dummy2 <= l; dummy2++) - indict[dummy][dummy2] = false; - } - for(j = 0; j <= m; j++) - for(i = 0; i <= l; i++) - if(dict.indict(fs[j], es[i])){ - eindict[i] = findict[j] = indict[j][i] = true; - } - } - - for(j=1; j <= m; j++){ - // entries that map fs to all possible ei in this sentence. - Vector<LpPair<COUNT,PROB> *> sPtrCache(es.size(),0); // cache pointers to table - //Vector<COUNT *> sPtrCacheDif(es.size(),0); // cache pointers to table - LpPair<COUNT,PROB> **sPtrCachePtr; - //COUNT **sPtrCachePtrDif; - - PROB denom = 0.0; - WordIndex best_i = 0 ; // i for which fj is best maped to ei - PROB word_best_score = 0 ; // score for the best mapping of fj - if (it == 1 && !seedModel1){ - denom = uniform * es.size() ; - word_best_score = uniform ; - } - else { - for((i=0),(sPtrCachePtr=&sPtrCache[0]); i <= l; i++,sPtrCachePtr++){ - PROB e(0.0) ; - (*sPtrCachePtr) = tTable.getPtr(es[i], fs[j]) ; - //(*sPtrCachePtrDif) = diff->GetPtr(es[i], fs[j]) ; - if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - denom += e ; - if (e > word_best_score){ - word_best_score = e ; - best_i = i ; - } - } - } - viterbi_alignment[j] = best_i ; - viterbi_score *= word_best_score ; /// denom ; - if (denom == 0){ - if (test) - cerr << "WARNING: denom is zero (TEST)\n"; - else - cerr << "WARNING: denom is zero (TRAIN)\n"; - } - cross_entropy += log(denom) ; - if (!test){ - if(denom > 0){ - COUNT val = COUNT(so) / (COUNT) double(denom) ; - /* this if loop implements a constraint on counting: - count(es[i], fs[j]) is implemented if and only if - es[i] and fs[j] occur together in the dictionary, - OR - es[i] does not occur in the dictionary with any fs[x] and - fs[j] does not occur in the dictionary with any es[y] - */ - if(it == 1 && useDict){ - for((i=0),(sPtrCachePtr=&sPtrCache[0]); - i <= l; i++,sPtrCachePtr++){ - if(indict[j][i] || (!findict[j] && !eindict[i])){ - PROB e(0.0) ; - if (it == 1 && !seedModel1) - e = uniform ; - else if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - COUNT x=e*val; - if( it==1||x>MINCOUNTINCREASE ){ - /*if ((*sPtrCachePtr) != 0){ - (*((*sPtrCachePtr))).count += x; - } else {*/ - tTable.incCount(es[i], fs[j], x); - //} - diff->incCount(es[i], fs[j], x); - } - } /* end of if */ - } /* end of for i */ - } /* end of it == 1 */ - // Old code: - else{ - for((i=0),(sPtrCachePtr=&sPtrCache[0]); i <= l; i++,sPtrCachePtr++){ - //for(i=0; i <= l; i++) { - PROB e(0.0) ; - if (it == 1 && !seedModel1) - e = uniform ; - else if ((*sPtrCachePtr) != 0 && (*((*sPtrCachePtr))).prob > PROB_SMOOTH) - e = (*((*sPtrCachePtr))).prob; - else e = PROB_SMOOTH ; - //if( !(i==0) ) - //cout << "COUNT(e): " << e << " " << MINCOUNTINCREASE << endl; - COUNT x=e*val; - if( pair_no==VerboseSentence ) - cout << i << "(" << evlist[es[i]].word << ")," - << j << "(" << fvlist[fs[j]].word << ")=" << x << endl; - if( it==1||x>MINCOUNTINCREASE ) - if( NoEmptyWord==0 || ( NoEmptyWord==0 || i!=0 )){ - /*if ((*sPtrCachePtr) != 0){ - (*((*sPtrCachePtr))).count += x; - } else */ - tTable.incCount(es[i], fs[j], x); - diff->incCount(es[i], fs[j], x); - } - } /* end of for i */ - } // end of else - } // end of if (denom > 0) - }// if (!test) - } // end of for (j) ; - sHandler1.setProbOfSentence(sent,cross_entropy); - //cerr << sent << "CE: " << cross_entropy << " " << so << endl; - perp.addFactor(cross_entropy-m*log(l+1.0), so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score)-m*log(l+1.0), so, l, m,1); - if (dump_alignment||(FEWDUMPS&&sent.sentenceNo<1000)) - printAlignToFile(es, fs, evlist, fvlist, of2, viterbi_alignment, sent.sentenceNo, viterbi_score); - addAL(viterbi_alignment,sent.sentenceNo,l); - pair_no++; - } /* of while */ - sHandler1.rewind(); - perp.record("Model1"); - viterbi_perp.record("Model1"); - errorReportAL(cout, "IBM-1"); - } diff --git a/experimental/alignment-enabled/MGIZA/src/model3_viterbi_with_tricks.cpp b/experimental/alignment-enabled/MGIZA/src/model3_viterbi_with_tricks.cpp deleted file mode 100644 index 2ba176e..0000000 --- a/experimental/alignment-enabled/MGIZA/src/model3_viterbi_with_tricks.cpp +++ /dev/null @@ -1,992 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#include "mystl.h" -#include "model3.h" -#include "collCounts.h" -#include "utility.h" -#include "Globals.h" -#include "D5Tables.h" -#include "transpair_model5.h" -#include "transpair_modelhmm.h" -#include "myassert.h" -#include "Parameter.h" - -GLOBAL_PARAMETER(float,PrintN,"nbestalignments","for printing the n best alignments",PARLEV_OUTPUT,0) -; - -const short LogHillClimb = 0, LogPeg = 0; -const short UseHMMViterbiAlignmentIfPossible = 1; -short DoViterbiTraining = 0; - -GLOBAL_PARAMETER(int,VerboseSentence,"VerboseSentence","number of sentence for which a lot of information should be printed (negative: no output)",PARLEV_OUTPUT,-10) -; -GLOBAL_PARAMETER(double,PEGGED_CUTOFF,"PEGGED_CUTOFF","relative cutoff probability for alignment-centers in pegging",PARLEV_OPTHEUR,3e-2) -; -GLOBAL_PARAMETER2(float, COUNTINCREASE_CUTOFF_AL,"COUNTINCREASE CUTOFF AL","countCutoffAl","Counts increment cutoff threshold for alignments in training of fertility models",PARLEV_OPTHEUR,1e-5) -; - -//int SentNr; -bool UseLinkCache = 1; /// optimization for pegging -int NumberOfAlignmentsInSophisticatedCountCollection; - -extern bool ONLYALDUMPS; - -int PrintHillClimbWarning = 0; -int PrintZeroScoreWarning = 0; - -LogProb model3::viterbi_model2(const transpair_modelhmm&ef, alignment&output, - int -#ifdef STORE_HMM_ALIGNMENTS -pair_no -#endif -, int i_peg, int j_peg) const { - static Vector<pair<alignment, LogProb> > viterbis; - Vector<int> vit; - int m = ef.get_m(); - int l = ef.get_l(); - double ret = 0.0; - //#define STORE_HMM_ALIGNMENTS -#ifdef STORE_HMM_ALIGNMENTS - if( i_peg==-1 && j_peg==-1 && viterbis.size()>pair_no ) { - output=viterbis[pair_no].first; - ret=viterbis[pair_no].second; - massert( ret==HMMRealViterbi(*ef.net,vit,i_peg-1,j_peg-1)*ef.net->finalMultiply ); - } else { - ret=HMMRealViterbi(*ef.net,vit,i_peg-1,j_peg-1)*ef.net->finalMultiply; - for(int j=1;j<=m;j++) { - if( vit[j-1]+1>l ) - output.set(j,0); - else - output.set(j,vit[j-1]+1); - massert( (j==j_peg&&int(output(j))==i_peg) || j_peg!=j); - } - if( i_peg==-1 && j_peg==-1 ) { - iassert(viterbis.size()==pair_no); - viterbis.push_back(make_pair(output,ret)); - } - } -#else - ret = HMMRealViterbi(*ef.net, vit, i_peg - 1, j_peg - 1) - * ef.net->finalMultiply; - for (int j = 1; j <= m; j++) { - if (vit[j - 1] + 1 > l) - output.set(j, 0); - else - output.set(j, vit[j - 1] + 1); - massert( (j==j_peg&&int(output(j))==i_peg) || j_peg!=j); - } -#endif - massert( j_peg==-1 || int(output(j_peg))==i_peg ); - if (j_peg != -1) - massert(int(output(j_peg))==i_peg); - if (output.valid()) - return ret; - else { - return _viterbi_model2(ef, output, i_peg, j_peg); - } -} - -LogProb model3::_viterbi_model2(const transpair_model2&ef, alignment&output, - int i_peg, int j_peg) const { - WordIndex best_i = 0; - LogProb ss = 1; - PositionIndex l = ef.get_l(), m = ef.get_m(); - Vector<WordIndex> Fert(l + 1, (WordIndex) 0); - if ((j_peg != -1) && (i_peg != -1)) { - output.set(j_peg, i_peg); - ss *= ef.get_t(i_peg, j_peg) * ef.get_a(i_peg, j_peg); - if (ss == 0) - cerr << "WARNING: already starting is zero: " << ef.get_t(i_peg, - j_peg) << " " << ef.get_a(i_peg, j_peg) << '\n'; - } else - ss = 1; - for (PositionIndex j = 1; j <= m; j++) - if (int(j) != j_peg) { - LogProb score = 0; - for (PositionIndex i = 0; i <= l; i++) { - if (Fert[i] + 1 < MAX_FERTILITY && (i != 0 || m >= (2 - * (Fert[0] + 1)))) { - LogProb temp = ef.get_t(i, j) * ef.get_a(i, j); - if (temp > score) { - best_i = i; - score = temp; - } - } - } - if (score == 0) { - cerr << "WARNING: In searching for model2 best alignment\n"; - cerr << "Nothing was set for target token at position j: " << j - << "\n"; - for (PositionIndex i = 0; i <= l; i++) { - cerr << "i: " << i << "ttable(" << i << ", " << j << ") = " - << ef.get_t(i, j) << " atable(" << i << ", " << j - << ", " << l << ", " << m << ") = " << ef.get_a(i, - j) << " product " << ef.get_t(i, j) - * ef.get_a(i, j); - if ((Fert[i] + 1 < MAX_FERTILITY) && ((i == 0 && (m >= 2 - * (Fert[0] + 1))) || (i != 0))) - cerr << "Passed fertility condition \n"; - else - cerr << "Failed fertility condition \n"; - } - } else { - output.set(j, best_i); - Fert[best_i]++; - } - ss *= score; - } - if (ss <= 0) { - //cerr << ef; - cerr << "WARNING: Model2 viterbi alignment has zero score.\n"; - cerr - << "Here are the different elements that made this alignment probability zero \n"; - cerr << "Source length " << l << " target length " << m << '\n'; - LogProb gg = 1; // for debugging only ..... - for (PositionIndex j = 1; j <= m; j++) - if (int(j) != j_peg) { - LogProb score = 0; - LogProb a = 0, t = 0; - for (PositionIndex i = 0; i <= l; i++) { - // if( Debug_Fert[i]+1<MAX_FERTILITY && (i != 0 || m>=(2 * (Debug_Fert[0] + 1)))){ - LogProb temp = ef.get_t(i, j) * ef.get_a(i, j); - if (temp > score) { - score = temp; - best_i = i; - a = ef.get_a(i, j); - t = ef.get_t(i, j); - } - // } - } - gg *= score; - cerr << "best: fs[" << j << "] " << j << " : es[" << best_i - << "] " << best_i << " , a: " << ef.get_a(best_i, j) - << " t: " << t << " score " << score << " product : " - << gg << " ss " << ss << '\n'; - } - for (PositionIndex i = 0; i <= l; i++) - cerr << "Fert[" << i << "] selected " << Fert[i] << '\n'; - } - massert(output.valid()); - return ss; -} -LogProb model3::viterbi_model2(const transpair_model3&ef, alignment&output, - int pair_no, int i_peg, int j_peg) const { - if (h && UseHMMViterbiAlignmentIfPossible) { - transpair_modelhmm efhmm(ef.E, ef.F, tTable, aTable, dTable, nTable, - 0.0, 0.0, h); - LogProb ret = viterbi_model2(efhmm, output, pair_no, i_peg, j_peg); - massert(output.valid()); - return ret; - } - return _viterbi_model2(ef, output, i_peg, j_peg); -} - -//int HillClimbingSteps=0; - -template<class TRANSPAIR> -LogProb greedyClimb_WithIBM3Scoring(MoveSwapMatrix<TRANSPAIR>&msc2, - int& HillClimbingSteps, int j_peg = -1) { - PositionIndex l = msc2.get_l(), m = msc2.get_m(); - int changed = 0; - int iter = 0; - bool hereVERB = 0; - do { - MoveSwapMatrix<typename TRANSPAIR::simpler_transpair_model> msc_IBM3( - msc2.get_ef(), alignment(msc2)); - vector<pair<double, OneMoveSwap> > msvec; - for (PositionIndex j = 1; j <= m; j++) - if (int(j) != j_peg) { - WordIndex aj = msc2(j); - for (PositionIndex j1 = j + 1; j1 <= m; j1++) - if ((aj != msc2(j1)) && (int(j1) != j_peg)) - msvec.push_back(pair<double, OneMoveSwap> ( - -msc_IBM3.cswap(j, j1), OneMoveSwap(1, j, j1))); - for (PositionIndex i = 0; i <= l; i++) - if (i != aj && (i != 0 || (m >= 2 * (msc2.fert(0) + 1))) - && msc2.fert(i) + 1 < MAX_FERTILITY) - msvec.push_back(pair<double, OneMoveSwap> ( - -msc_IBM3.cmove(i, j), OneMoveSwap(2, i, j))); - } - sort(msvec.begin(), msvec.end()); - HillClimbingSteps++; - int iused = -1; - changed = 0; - for (unsigned int i = 0; i < msvec.size() && changed == 0; ++i) { - LogProb csts; - const OneMoveSwap &oms = msvec[i].second; - if (oms.type == 1 && (csts = msc2.cswap(oms.a, oms.b)) > 1.0001) { - if (hereVERB == 1) - cerr << "SWAP: " << csts << '\n'; - msc2.doSwap(oms.a, oms.b); - changed = 1; - iused = i; - break; - } - if (oms.type == 2 && (csts = msc2.cmove(oms.a, oms.b)) > 1.0001) { - if (hereVERB == 1) - cerr << "MOVE: " << csts << '\n'; - msc2.doMove(oms.a, oms.b); - changed = 1; - iused = i; - break; - } - } - if (++iter > 30) { - //msc2.ef.verboseTP=1; - hereVERB = 1; - cerr << "ERROR: more than 30 iterations in hill-climbing: " - << iused << " improvement: " << msvec[iused].first - << " value:" << msvec[iused].second << '\n' << msc2 << '\n'; - for (int a = 0; a < 20; ++a) - cout << a << ' ' << msvec[a].first << ' ' << msvec[a].second - << '\n'; - //cerr << msvec << '\n'; - } - if (iter > 50) - break; - } while (changed); - return msc2.get_ef().prob_of_target_and_alignment_given_source(msc2); -} - -template<class TRANSPAIR> -LogProb greedyClimb(MoveSwapMatrix<TRANSPAIR>&msc2, int& HillClimbingSteps, - int j_peg = -1) { - if (msc2.get_ef().greedyHillClimbing() == 1) - return greedyClimb_WithIBM3Scoring(msc2, HillClimbingSteps, j_peg); - PositionIndex l = msc2.get_l(), m = msc2.get_m(); - int changed = 0; - do { - HillClimbingSteps++; - changed = 0; - for (PositionIndex j = 1; j <= m; j++) - if (int(j) != j_peg) { - WordIndex aj = msc2(j); - for (PositionIndex j1 = j + 1; j1 <= m; j1++) - if ((aj != msc2(j1)) && (int(j1) != j_peg) && msc2.cswap(j, - j1) > 1.0) - msc2.doSwap(j, j1), changed = 1; - for (PositionIndex i = 0; i <= l; i++) - if (i != aj && (i != 0 || (m >= 2 * (msc2.fert(0) + 1))) - && msc2.fert(i) + 1 < MAX_FERTILITY && msc2.cmove( - i, j) > 1.0) - msc2.doMove(i, j), changed = 1; - } - } while (changed); - return msc2.get_ef().prob_of_target_and_alignment_given_source(msc2); -} - -template<class TRANSPAIR> -LogProb hillClimb_std(MoveSwapMatrix<TRANSPAIR>&msc2, int &HillClimbingSteps, - int = -1, int j_peg = -1) { - if (msc2.isLazy()) - return greedyClimb_WithIBM3Scoring(msc2, HillClimbingSteps, j_peg); - if (LogHillClimb > 1) - cout << msc2 << '\n'; - PositionIndex l = msc2.get_l(), m = msc2.get_m(); - int changes = 0; - int best_change_type = -1, best_change_v1 = -1, best_change_v2 = -1; - do { - HillClimbingSteps++; - LogProb best_change_so_far = 1.00001; - best_change_type = 0; - for (PositionIndex j = 1; j <= m; j++) - if (int(j) != j_peg) { - WordIndex aj = msc2(j); - for (PositionIndex j1 = j + 1; j1 <= m; j1++) - if ((aj != msc2(j1)) && (int(j1) != j_peg)) { - LogProb change = msc2.cswap(j, j1); - if (change > best_change_so_far) { - best_change_so_far = change; - best_change_type = 1; - best_change_v1 = j; - best_change_v2 = j1; - if (LogHillClimb) - cerr << "CLIMB: " << best_change_type << " " - << best_change_v1 << " " - << best_change_v2 << " " - << best_change_so_far << msc2 << '\n'; - massert(msc2.get_ef().isSubOptimal()==1); - } - } - for (PositionIndex i = 0; i <= l; i++) - if (i != aj && (i != 0 || (m >= 2 * (msc2.fert(0) + 1))) - && msc2.fert(i) + 1 < MAX_FERTILITY) { - LogProb change = msc2.cmove(i, j); - if (change > best_change_so_far) { - best_change_so_far = change; - best_change_type = 2; - best_change_v1 = j; - best_change_v2 = i; - if (LogHillClimb) - cerr << "CLIMB: " << best_change_type << " " - << best_change_v1 << " " - << best_change_v2 << " " - << best_change_so_far << msc2 << '\n'; - massert(msc2.get_ef().isSubOptimal()==1); - } - } - } - if (best_change_type == 1) { - msc2.doSwap(best_change_v1, best_change_v2); - if (LogHillClimb) - cerr << "SW-CLIMB-DONE: " << j_peg << msc2 << '\n'; - } - if (best_change_type == 2) { - msc2.doMove(best_change_v2, best_change_v1); - if (LogHillClimb) - cerr << "MO-CLIMB-DONE: " << j_peg << msc2 << '\n'; - } - changes++; - if (changes > 40) { - if (PrintHillClimbWarning++ < 1000) - cerr << "WARNING: already " << changes - << " iterations in hillclimb: " << best_change_so_far - << " " << best_change_type << " " << best_change_v1 - << " " << best_change_v2 << '\n'; - else if (PrintHillClimbWarning == 1000) - cerr - << "ERROR: too many hill climbing warnings => I do not print more.\n"; - } - if (changes > 60) { - cerr << msc2 << '\n'; - break; - } - } while (best_change_type); - return msc2.get_ef().prob_of_target_and_alignment_given_source(msc2); -} - -template<class MODEL_TYPE> -bool extendCenterList( - Vector<pair<MoveSwapMatrix<MODEL_TYPE>*, LogProb> >&setOfGoodCenters, - MoveSwapMatrix<MODEL_TYPE> *msc, double peggedAlignmentScore) { - unsigned int l = msc->get_ef().get_l(); - set<OneMoveSwap> alreadyCovered; - for (unsigned int nr = 0; nr < setOfGoodCenters.size(); nr++) - makeOneMoveSwap(*setOfGoodCenters[nr].first, *msc, alreadyCovered); - for (set<OneMoveSwap>::const_iterator i = alreadyCovered.begin(); i - != alreadyCovered.end(); ++i) { - if (i->type == 1 || i->type == 4) - msc->delCenter(); - if (i->type == 1) { - for (unsigned int ii = 0; ii <= l; ++ii) - if ((*msc)(i->a) != ii) - msc->delMove(ii, i->a); - } else if (i->type == 2 || i->type == 4) - msc->delSwap(i->a, i->b); - else if (i->type == 3) - msc->delMove(i->b, i->a); - else - abort(); - } - setOfGoodCenters.push_back(make_pair(msc, peggedAlignmentScore)); - return 1; -} - -bool OldLog = 0; -short OldLogPeg = 0, OldLogHillClimb = 0; -class Als { -public: - int s, a, b; - double v; - Als(int _s, int _a, int _b, double _v) : - s(_s), a(_a), b(_b), v(_v) { - } -}; - -inline bool operator<(const Als&x, const Als&y) { - return x.v > y.v; -} - -template<class MODEL_TYPE, class ADDITIONAL_MODEL_DATA_IN, - class ADDITIONAL_MODEL_DATA_OUT> -void model3::viterbi_loop_with_tricks(Perplexity& perp, - Perplexity& viterbiPerp, sentenceHandler& sHandler1, bool dump_files, - const char* alignfile, bool collect_counts, string model, bool final, - ADDITIONAL_MODEL_DATA_IN*dm_in, ADDITIONAL_MODEL_DATA_OUT*dm_out) { - ofstream *writeNBestErrorsFile = 0; - if ((dump_files || FEWDUMPS) && PrintN && ReferenceAlignment.size() > 0) { - string x = alignfile + string("NBEST"); - writeNBestErrorsFile = new ofstream(x.c_str()); - } - ofstream *of3 = 0; - PositionIndex i, j, l, m; - ofstream of2; - int pair_no; - int HillClimbingSteps = 0; - NumberOfAlignmentsInSophisticatedCountCollection = 0; - if (dump_files || FEWDUMPS || (final && (ONLYALDUMPS))) { - of2.open(alignfile); - if (of2.is_open()) { - cout << "I will write alignment to " << alignfile << endl; - } - } - /* if(!of2.is_open()){ - cerr << "I don't know why you do not let me dump file " << alignfile << endl; - }*/ - if (dump_files && PrintN && final) { - string x = alignfile + string("NBEST"); - of3 = new ofstream(x.c_str()); - } - pair_no = 0; // sentence pair number - // for each sentence pair in the corpus - perp.clear(); // clears cross_entrop & perplexity - viterbiPerp.clear(); // clears cross_entrop & perplexity - sentPair sent; - int NCenter = 0, NHillClimbed = 0, NAlignment = 0, NTotal = 0, - NBetterByPegging = 0; - while (sHandler1.getNextSentence(sent)) { - //cerr << sent.fAnchor.size()<< endl; - if (sent.eSent.size() == 1 || sent.fSent.size() == 1) - continue; - // SentNr=sent.sentenceNo; - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.getCount(); - if ((sent.sentenceNo % 10000) == 0) - cerr << sent.sentenceNo << '\n'; - time_t sent_s = time(NULL); - pair_no++; - l = es.size() - 1; - m = fs.size() - 1; - - LogProb align_total_count = 0; - alignment viterbi2alignment(l, m); - MODEL_TYPE ef(es, fs, tTable, aTable, dTable, nTable, p1, p0, dm_in); - viterbi_model2(ef, viterbi2alignment, pair_no - 1); - // after getting viterbi alignment, we manually modify it to make sure the whitelist is not violated -// for(int _i = 0; i < sent.fAnchor.size();i++){ -// if(sent.fAnchor[_i]) -// viterbi2alignment.set(sent.fAnchor[_i],sent.eAnchor[_i]); -// else{ // the link means no word should be aligned to the target word, so we eliminate all the links. -// for(int _j = 1 ; _j < m; _j++){ -// int aj = viterbi2alignment.get_al(_j); -// if(aj == sent.eAnchor[_i]){ -// viterbi2alignment.set(_j,0); -// } -// } -// } -// } - - Vector<pair<MoveSwapMatrix<MODEL_TYPE>*, LogProb> > setOfGoodCenters(1); - set<alignment> alignments; - MoveSwapMatrix<MODEL_TYPE> *best = (setOfGoodCenters[0].first - = new MoveSwapMatrix<MODEL_TYPE> (ef, viterbi2alignment)); - // after getting viterbi alignment, we manually modify it to make sure the whitelist is not violated - set<int> visitedJ ; - visitedJ.clear(); - for(int _i = 0; _i < sent.fAnchor.size();_i++){ - if(sent.fAnchor[_i] > m || sent.eAnchor[_i] > l) - continue; - if(sent.fAnchor[_i]){ - if(visitedJ.find(sent.fAnchor[_i])==visitedJ.end() && - best->get_al(sent.fAnchor[_i])!=sent.eAnchor[_i]) - best->doMove(sent.eAnchor[_i],sent.fAnchor[_i]); - setOfGoodCenters[0].first->addUnTouchJ(sent.fAnchor[_i],sent.eAnchor[_i]); - //setOfGoodCenters[0].first->addUnTouchI(sent.eAnchor[_i],sent.fAnchor[_i]); - }else{ // the link means no word should be aligned to the target word, so we eliminate all the links. - //best->doMove(0,sent.fAnchor[_j]); - for (int _j = 1; _j < m; _j++) { - int aj = best->get_al(_j); - if (aj == sent.eAnchor[_i]) { - best->doMove(0,_j); - } - } - setOfGoodCenters[0].first->addUnTouchI(sent.eAnchor[_i],sent.fAnchor[_i]); - } - } - - - MoveSwapMatrix<MODEL_TYPE> _viterbi(*best), *viterbi = &_viterbi; // please, don't delete this line (FJO) - // We prepare the move matrix ignore list - - if (ef.isSubOptimal()) - setOfGoodCenters[0].second - = hillClimb_std(*best, HillClimbingSteps); - else { - setOfGoodCenters[0].second - = best->get_ef().prob_of_target_and_alignment_given_source( - *best); - if (setOfGoodCenters[0].second == 0) { - cerr << "PROBLEM: alignment is 0.\n"; - best->get_ef().prob_of_target_and_alignment_given_source(*best, - 1); - } - } - int bestAlignment = 0; - - for (unsigned int i = 0; i < setOfGoodCenters.size(); ++i) - setOfGoodCenters[i].first->check(); - alignments.insert(*best); - if (setOfGoodCenters[bestAlignment].second <= 0) { - if (PrintZeroScoreWarning++ < 100) { - cerr - << "WARNING: Hill Climbing yielded a zero score viterbi alignment for the following pair:\n"; - cerr << alignment(*setOfGoodCenters[bestAlignment].first); - printSentencePair(es, fs, cerr); - } else if (PrintZeroScoreWarning == 100) { - cerr - << "ERROR: too many zero score warnings => no additional one will be printed\n"; - } - setOfGoodCenters[bestAlignment].second = 1e-300; - continue; - } - int nHillClimbed = 1, nAlignment = 1; - bool flagBetterByPegging = 0; - if (Peg) { - const MoveSwapMatrix<MODEL_TYPE> *useMatrix = viterbi; // it is faster using 'best', ... (FJO) - Array2<short, vector<short> > linkCache(l + 1, m + 1, false); - if (UseLinkCache) - for (unsigned int j = 1; j <= m; j++) - linkCache((*useMatrix)(j), j) = 1; - for (PositionIndex j = 1; j <= m; j++) - for (PositionIndex i = 0; i <= l; i++) { - nAlignment++; - if (i != (*useMatrix)(j) && (UseLinkCache == 0 - || linkCache(i, j) == 0) && ef.get_t(i, j) - > ef.get_t((*useMatrix)(j), j) * PEGGED_CUTOFF - && (i != 0 || (m >= 2 * (useMatrix->fert(0) + 1)))) { - MoveSwapMatrix<MODEL_TYPE> *BESTPEGGED = 0; - LogProb peggedAlignmentScore; - nHillClimbed++; - if (ef.isSubOptimal()) { - BESTPEGGED = new MoveSwapMatrix<MODEL_TYPE> ( - *useMatrix); - BESTPEGGED->doMove(i, j); - peggedAlignmentScore = hillClimb_std(*BESTPEGGED, - HillClimbingSteps, i, j); - } else { - alignment pegAlignment(l, m); - peggedAlignmentScore = viterbi_model2(ef, - pegAlignment, pair_no - 1, i, j); - BESTPEGGED = new MoveSwapMatrix<MODEL_TYPE> (ef, - pegAlignment); - massert( pegAlignment(j)==i ); - } - if (UseLinkCache) - for (unsigned int j = 1; j <= m; j++) - linkCache((*BESTPEGGED)(j), j) = 1; - if (peggedAlignmentScore - > setOfGoodCenters[bestAlignment].second - * (LogProb) PEGGED_CUTOFF - && alignments.count(*BESTPEGGED) == 0) { - if (extendCenterList(setOfGoodCenters, BESTPEGGED, - peggedAlignmentScore)) { - alignments.insert(*BESTPEGGED); - if (peggedAlignmentScore - > 1.00001 - * setOfGoodCenters[bestAlignment].second) { - if (LogPeg) { - cerr - << "found better alignment by pegging " - << pair_no << " " - << peggedAlignmentScore - / setOfGoodCenters[bestAlignment].second - << '\n'; - cerr << "NEW BEST: " << alignment( - *BESTPEGGED); - cerr << "OLD : " - << alignment( - *setOfGoodCenters[bestAlignment].first); - } - flagBetterByPegging = 1; - bestAlignment = alignments.size() - 1; - } - } - assert( differences(*BESTPEGGED, *best)!=0 ); - BESTPEGGED = 0; - } else - delete BESTPEGGED; - } - } - } // end of if(Peg) - NBetterByPegging += flagBetterByPegging; - for (unsigned int i = 0; i < setOfGoodCenters.size(); ++i) - setOfGoodCenters[i].first->check(); - if (LogPeg > 1) - cout << "PEGGED: " << setOfGoodCenters.size() << " HILLCLIMBED:" - << nHillClimbed << " TOTAL:" << nAlignment - << " alignments." << '\n'; - int alTotal = collectCountsOverNeighborhood(setOfGoodCenters, es, fs, - tTable, aCountTable, dCountTable, nCountTable, p1_count, - p0_count, align_total_count, count, collect_counts, dm_out); - if (LogPeg > 1) { - cout << "ALL: " << alTotal << " from " << pow(float(l + 1), - float(m)) << '\n'; - massert(alTotal<=pow(double(l+1),double(m))); - } - NCenter += setOfGoodCenters.size(); - NHillClimbed += nHillClimbed; - NAlignment += nAlignment; - NTotal += alTotal; - perp.addFactor(log(double(align_total_count)), count, l, m, 0); - viterbiPerp.addFactor(log( - double(setOfGoodCenters[bestAlignment].second)), count, l, m, 0); - massert(log(double(setOfGoodCenters[bestAlignment].second)) <= log(double(align_total_count))); - if (dump_files || (FEWDUMPS && sent.sentenceNo < 1000) || (final - && (ONLYALDUMPS))) - printAlignToFile(es, fs, Elist.getVocabList(), - Flist.getVocabList(), of2, - (setOfGoodCenters[bestAlignment].first)->getAlignment(), - sent.sentenceNo, setOfGoodCenters[bestAlignment].second); - for (unsigned int i = 0; i < setOfGoodCenters.size(); ++i) - setOfGoodCenters[i].first->check(); - if (of3 || (writeNBestErrorsFile && pair_no - < int(ReferenceAlignment.size()))) { - vector<Als> als; - for (unsigned int s = 0; s < setOfGoodCenters.size(); ++s) { - const MoveSwapMatrix<MODEL_TYPE>&msc = - *setOfGoodCenters[s].first; - msc.check(); - double normalized_ascore = setOfGoodCenters[s].second; - if (!msc.isCenterDeleted()) - als.push_back(Als(s, 0, 0, normalized_ascore)); - - for (WordIndex j = 1; j <= m; j++) - for (WordIndex i = 0; i <= l; i++) - if (i != msc(j) && !msc.isDelMove(i, j)) - als.push_back(Als(s, i, j, msc.cmove(i, j) - * normalized_ascore)); - for (PositionIndex j1 = 1; j1 <= m; j1++) - for (PositionIndex j2 = j1 + 1; j2 <= m; j2++) - if (msc(j1) != msc(j2) && !msc.isDelSwap(j1, j2)) - als.push_back(Als(s, -j1, -j2, msc.cswap(j1, j2) - * normalized_ascore)); - } - sort(als.begin(), als.end()); - double sum = 0, sum2 = 0; - for (unsigned int i = 0; i < als.size(); ++i) - sum += als[i].v; - for (unsigned int i = 0; i < min((unsigned int) als.size(), - (unsigned int) PrintN); ++i) { - alignment x = *setOfGoodCenters[als[i].s].first; - if (!(als[i].a == 0 && als[i].b == 0)) { - if (als[i].a <= 0 && als[i].b <= 0) - x.doSwap(-als[i].a, -als[i].b); - else - x.doMove(als[i].a, als[i].b); - } - if (of3 && i < PrintN) - printAlignToFile(es, fs, Elist.getVocabList(), - Flist.getVocabList(), *of3, x.getAlignment(), - sent.sentenceNo, als[i].v / sum * count); - sum2 += als[i].v; - if (writeNBestErrorsFile) { - if (pair_no < int(ReferenceAlignment.size())) { - int ALmissing = 0, ALtoomuch = 0, ALeventsMissing = 0, - ALeventsToomuch = 0; - vector<double> scores; - ErrorsInAlignment(ReferenceAlignment[pair_no - 1], - x.getAlignment(), l, ALmissing, ALtoomuch, - ALeventsMissing, ALeventsToomuch, pair_no); - ef.computeScores(x, scores); - *writeNBestErrorsFile << ALmissing + ALtoomuch << ' '; - for (unsigned int i = 0; i < scores.size(); ++i) - *writeNBestErrorsFile - << ((scores[i] > 0.0) ? (-log(scores[i])) - : 1.0e6) << ' '; - *writeNBestErrorsFile << '\n'; - } - } - } - if (writeNBestErrorsFile) - *writeNBestErrorsFile << '\n'; - } - addAL((setOfGoodCenters[bestAlignment].first)->getAlignment(), - sent.sentenceNo, l); - for (unsigned int i = 0; i < setOfGoodCenters.size(); i++) - delete setOfGoodCenters[i].first; - double period = difftime(time(NULL), sent_s); - if (Verbose) - cerr << "processing this sentence pair took : " << period - << " seconds\n"; - - } /* of sentence pair E, F */ - //sHandler1.rewind(); - if (dump_files || FEWDUMPS || (final && (ONLYALDUMPS))) - of2.close(); - delete of3; - delete writeNBestErrorsFile; - double FSent = pair_no; - cout << "#centers(pre/hillclimbed/real): " << NAlignment / FSent << " " - << NHillClimbed / FSent << " " << NCenter / FSent << " #al: " - << NTotal / FSent << " #alsophisticatedcountcollection: " - << NumberOfAlignmentsInSophisticatedCountCollection / FSent - << " #hcsteps: " << HillClimbingSteps / FSent << '\n'; - cout << "#peggingImprovements: " << NBetterByPegging / FSent << '\n'; -} - -/*Perform only one step of viterbi alignment*/ -#if 0 -template<class MODEL_TYPE, class ADDITIONAL_MODEL_DATA_IN,class ADDITIONAL_MODEL_DATA_OUT> -void model3::viterbi_loop_with_tricks_1(Perplexity& perp, Perplexity& viterbiPerp, sentenceHandler& sHandler1, - bool dump_files, const char* alignfile, - bool collect_counts, string model, bool final, - ADDITIONAL_MODEL_DATA_IN*dm_in, - ADDITIONAL_MODEL_DATA_OUT*dm_out) { - ofstream *writeNBestErrorsFile=0; - if( (dump_files||FEWDUMPS)&&PrintN&&ReferenceAlignment.size()>0 ) { - string x=alignfile+string("NBEST"); - writeNBestErrorsFile= new ofstream(x.c_str()); - } - ofstream *of3=0; - ofstream of2; - int pair_no; - HillClimbingSteps=0; - NumberOfAlignmentsInSophisticatedCountCollection=0; - if (dump_files||FEWDUMPS||(final&&(ONLYALDUMPS)) ) - of2.open(alignfile); - if( dump_files&&PrintN&&final ) { - string x=alignfile+string("NBEST"); - of3= new ofstream(x.c_str()); - } - pair_no = 0; // sentence pair number - // for each sentence pair in the corpus - perp.clear(); // clears cross_entrop & perplexity - viterbiPerp.clear(); // clears cross_entrop & perplexity - sentPair sent; - int NCenter=0,NHillClimbed=0,NAlignment=0,NTotal=0,NBetterByPegging=0; - while(sHandler1.getNextSentence(sent)) { - if( sent.eSent.size()==1||sent.fSent.size()==1 ) - continue; - SentNr=sent.sentenceNo; - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.getCount(); - if ((sent.sentenceNo % 10000) == 0) - cerr <<sent.sentenceNo << '\n'; - time_t sent_s = time(NULL); - pair_no++; - l = es.size() - 1; - m = fs.size() - 1; - if (Log) { - logmsg << "Processing sentence pair:\n\t"; - printSentencePair(es, fs, logmsg); - for (i = 0; i <= l; i++) - logmsg << Elist.getVocabList()[es[i]].word << " "; - logmsg << "\n\t"; - for (j = 1; j <= m; j++) - logmsg << Flist.getVocabList()[fs[j]].word << " "; - logmsg << "\n"; - } - - LogProb align_total_count=0; - alignment viterbi2alignment(l,m); - MODEL_TYPE ef(es,fs,tTable,aTable,dTable,nTable,p1,p0,dm_in); - viterbi_model2(ef,viterbi2alignment,pair_no-1); - Vector<pair<MoveSwapMatrix<MODEL_TYPE>*,LogProb> >setOfGoodCenters(1); - set<alignment> alignments; - MoveSwapMatrix<MODEL_TYPE> *best = (setOfGoodCenters[0].first = new MoveSwapMatrix<MODEL_TYPE>(ef, viterbi2alignment)); - MoveSwapMatrix<MODEL_TYPE> _viterbi(*best), *viterbi=&_viterbi; // please, don't delete this line (FJO) - if (Log) - logmsg << "VITERBI: " << alignment(_viterbi); - if( ef.isSubOptimal() ) - setOfGoodCenters[0].second = hillClimb_std(*best); - else { - setOfGoodCenters[0].second = best->get_ef().prob_of_target_and_alignment_given_source(*best); - if( setOfGoodCenters[0].second==0 ) { - cerr << "PROBLEM: alignment is 0.\n"; - best->get_ef().prob_of_target_and_alignment_given_source(*best,1); - } - } - int bestAlignment=0; - - for(unsigned int i=0;i<setOfGoodCenters.size();++i) - setOfGoodCenters[i].first->check(); - alignments.insert(*best); - if (setOfGoodCenters[bestAlignment].second <= 0) { - if( PrintZeroScoreWarning++<100 ) { - cerr << "WARNING: Hill Climbing yielded a zero score viterbi alignment for the following pair:\n"; - cerr << alignment(*setOfGoodCenters[bestAlignment].first); - printSentencePair(es, fs, cerr); - if(Log) { - logmsg << "WARNING: Hill Climbing yielded a zero score viterbi alignment for the following pair:\n"; - printSentencePair(es, fs, logmsg); - } - } - else if(PrintZeroScoreWarning==100) { - cerr << "ERROR: too many zero score warnings => no additional one will be printed\n"; - } - setOfGoodCenters[bestAlignment].second=1e-300; - continue; - } - int nHillClimbed=1,nAlignment=1; - bool flagBetterByPegging=0; - if ( Peg ) { - const MoveSwapMatrix<MODEL_TYPE> *useMatrix=viterbi; // it is faster using 'best', ... (FJO) - Array2<short, vector<short> > linkCache(l+1, m+1, false); - if(UseLinkCache)for(unsigned int j=1;j<=m;j++)linkCache((*useMatrix)(j), j)=1; - for(PositionIndex j=1;j<=m;j++)for(PositionIndex i=0;i<=l;i++) { - nAlignment++; - if( i!=(*useMatrix)(j) && (UseLinkCache==0||linkCache(i,j)==0) && - ef.get_t(i,j)>ef.get_t((*useMatrix)(j),j)*PEGGED_CUTOFF && - (i != 0 || (m >= 2 * (useMatrix->fert(0)+1)))) { - MoveSwapMatrix<MODEL_TYPE> *BESTPEGGED=0; - LogProb peggedAlignmentScore; - nHillClimbed++; - if( ef.isSubOptimal() ) { - BESTPEGGED = new MoveSwapMatrix<MODEL_TYPE>(*useMatrix); - BESTPEGGED->doMove(i, j); - peggedAlignmentScore= hillClimb_std(*BESTPEGGED, i,j); - } else { - alignment pegAlignment(l,m); - peggedAlignmentScore=viterbi_model2(ef,pegAlignment,pair_no-1,i,j); - BESTPEGGED = new MoveSwapMatrix<MODEL_TYPE>(ef,pegAlignment); - massert( pegAlignment(j)==i ); - } - if(UseLinkCache) - for(unsigned int j=1;j<=m;j++) - linkCache((*BESTPEGGED)(j), j)=1; - if( peggedAlignmentScore>setOfGoodCenters[bestAlignment].second*(LogProb)PEGGED_CUTOFF && alignments.count(*BESTPEGGED)==0 ) { - if(extendCenterList(setOfGoodCenters,BESTPEGGED,peggedAlignmentScore)) { - alignments.insert(*BESTPEGGED); - if( peggedAlignmentScore>1.00001*setOfGoodCenters[bestAlignment].second ) { - if( LogPeg ) { - cerr << "found better alignment by pegging " << pair_no << " " << peggedAlignmentScore/setOfGoodCenters[bestAlignment].second << '\n'; - cerr << "NEW BEST: " << alignment(*BESTPEGGED); - cerr << "OLD : " << alignment(*setOfGoodCenters[bestAlignment].first); - } - flagBetterByPegging=1; - bestAlignment=alignments.size()-1; - } - } - assert( differences(*BESTPEGGED, *best)!=0 ); - BESTPEGGED=0; - } else - delete BESTPEGGED; - } - } - } // end of if(Peg) - NBetterByPegging+=flagBetterByPegging; - for(unsigned int i=0;i<setOfGoodCenters.size();++i) - setOfGoodCenters[i].first->check(); - if( LogPeg>1 ) - cout << "PEGGED: " << setOfGoodCenters.size() << " HILLCLIMBED:" << nHillClimbed << " TOTAL:" << nAlignment << " alignments." << '\n'; - int alTotal=collectCountsOverNeighborhood(setOfGoodCenters,es, fs, tTable, aCountTable, - dCountTable, nCountTable, p1_count, p0_count, - align_total_count, count, collect_counts, dm_out); - if( LogPeg>1 ) { - cout << "ALL: " << alTotal << " from " << pow(float(l+1),float(m)) << '\n'; - massert(alTotal<=pow(double(l+1),double(m))); - } - NCenter+=setOfGoodCenters.size();NHillClimbed+=nHillClimbed;NAlignment+=nAlignment;NTotal+=alTotal; - perp.addFactor(log(double(align_total_count)), count, l, m,0); - viterbiPerp.addFactor(log(double(setOfGoodCenters[bestAlignment].second)), count, l, m,0); - massert(log(double(setOfGoodCenters[bestAlignment].second)) <= log(double(align_total_count))); - if (dump_files||(FEWDUMPS&&sent.sentenceNo<1000)||(final&&(ONLYALDUMPS)) ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, (setOfGoodCenters[bestAlignment].first)->getAlignment(), sent.sentenceNo, - setOfGoodCenters[bestAlignment].second); - for(unsigned int i=0;i<setOfGoodCenters.size();++i) - setOfGoodCenters[i].first->check(); - if( of3||(writeNBestErrorsFile&&pair_no<int(ReferenceAlignment.size())) ) { - vector<Als> als; - for(unsigned int s=0;s<setOfGoodCenters.size();++s) { - const MoveSwapMatrix<MODEL_TYPE>&msc= *setOfGoodCenters[s].first; - msc.check(); - double normalized_ascore=setOfGoodCenters[s].second; - if( !msc.isCenterDeleted() ) - als.push_back( Als(s,0,0,normalized_ascore) ); - - for(WordIndex j=1;j<=m;j++) - for(WordIndex i=0;i<=l;i++) - if( i!=msc(j)&& !msc.isDelMove(i,j) ) - als.push_back( Als(s,i,j,msc.cmove(i,j)*normalized_ascore)); - for(PositionIndex j1=1;j1<=m;j1++) - for(PositionIndex j2=j1+1;j2<=m;j2++) - if( msc(j1)!=msc(j2) && !msc.isDelSwap(j1,j2) ) - als.push_back( Als(s,-j1,-j2,msc.cswap(j1,j2)*normalized_ascore)); - } - sort(als.begin(),als.end()); - double sum=0,sum2=0; - for(unsigned int i=0;i<als.size();++i) - sum+=als[i].v; - for(unsigned int i=0;i<min((unsigned int)als.size(),(unsigned int)PrintN);++i) { - alignment x=*setOfGoodCenters[als[i].s].first; - if( !(als[i].a==0 && als[i].b==0) ) { - if( als[i].a<=0&&als[i].b<=0 ) - x.doSwap(-als[i].a,-als[i].b); - else - x.doMove(als[i].a,als[i].b); - } - if( of3&&i<PrintN ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(),*of3,x.getAlignment(), sent.sentenceNo, - als[i].v/sum*count); - sum2+=als[i].v; - if( writeNBestErrorsFile ) { - if( pair_no<int(ReferenceAlignment.size()) ) { - int ALmissing=0,ALtoomuch=0,ALeventsMissing=0,ALeventsToomuch=0; - vector<double> scores; - ErrorsInAlignment(ReferenceAlignment[pair_no-1],x.getAlignment(),l,ALmissing,ALtoomuch,ALeventsMissing,ALeventsToomuch,pair_no); - ef.computeScores(x,scores); - *writeNBestErrorsFile << ALmissing+ALtoomuch << ' '; - for(unsigned int i=0;i<scores.size();++i) - *writeNBestErrorsFile << ((scores[i]>0.0)?(-log(scores[i])):1.0e6) << ' '; - *writeNBestErrorsFile << '\n'; - } - } - } - if( writeNBestErrorsFile ) - *writeNBestErrorsFile << '\n'; - } - addAL((setOfGoodCenters[bestAlignment].first)->getAlignment(),sent.sentenceNo,l); - for(unsigned int i=0;i<setOfGoodCenters.size();i++) - delete setOfGoodCenters[i].first; - double period = difftime(time(NULL), sent_s); - if (Verbose) - cerr << "processing this sentence pair took : " << period - << " seconds\n"; - - } /* of sentence pair E, F */ - //sHandler1.rewind(); - if (dump_files||FEWDUMPS||(final&&(ONLYALDUMPS)) ) - of2.close(); - delete of3; - delete writeNBestErrorsFile; - double FSent=pair_no; - cout << "#centers(pre/hillclimbed/real): " << NAlignment/FSent << " " << NHillClimbed/FSent << " " << NCenter/FSent << " #al: " << NTotal/FSent << " #alsophisticatedcountcollection: " << NumberOfAlignmentsInSophisticatedCountCollection/FSent << " #hcsteps: " << HillClimbingSteps/FSent << '\n'; - cout << "#peggingImprovements: " << NBetterByPegging/FSent << '\n'; -} -#endif - -#include "collCounts.cpp" -#define INSTANTIATE(A,B,C) template \ -void model3::viterbi_loop_with_tricks<A,B,C>(Perplexity& perp, Perplexity& viterbiPerp, sentenceHandler& sHandler1, \ - bool dump_files, const char* alignfile,bool collect_counts, string, bool final,\ - B*d4m,C*d5m); - -INSTANTIATE(transpair_model3, void, void) -; -INSTANTIATE(transpair_modelhmm, const hmm, void) -; -INSTANTIATE(transpair_modelhmm, const hmm, d4model) -; -INSTANTIATE(transpair_modelhmm, const hmm, d5model) -; -INSTANTIATE(transpair_model3, void,d4model) -; -INSTANTIATE(transpair_model3, void,d5model) -; -INSTANTIATE(transpair_model4, d4model,d4model) -; -INSTANTIATE(transpair_model4, d4model,d5model) -; -INSTANTIATE(transpair_model5, d5model,d5model) -; diff --git a/experimental/alignment-enabled/MGIZA/stamp-h1 b/experimental/alignment-enabled/MGIZA/stamp-h1 deleted file mode 100644 index 4547fe1..0000000 --- a/experimental/alignment-enabled/MGIZA/stamp-h1 +++ /dev/null @@ -1 +0,0 @@ -timestamp for config.h diff --git a/mgizapp/AUTHORS b/mgizapp/AUTHORS deleted file mode 100644 index e69de29..0000000 --- a/mgizapp/AUTHORS +++ /dev/null diff --git a/mgizapp/COPYING b/mgizapp/COPYING deleted file mode 100644 index 94a9ed0..0000000 --- a/mgizapp/COPYING +++ /dev/null @@ -1,674 +0,0 @@ - GNU GENERAL PUBLIC LICENSE - Version 3, 29 June 2007 - - Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The GNU General Public License is a free, copyleft license for -software and other kinds of works. - - The licenses for most software and other practical works are designed -to take away your freedom to share and change the works. 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It is safest -to attach them to the start of each source file to most effectively -state the exclusion of warranty; and each file should have at least -the "copyright" line and a pointer to where the full notice is found. - - <one line to give the program's name and a brief idea of what it does.> - Copyright (C) <year> <name of author> - - This program is free software: you can redistribute it and/or modify - it under the terms of the GNU General Public License as published by - the Free Software Foundation, either version 3 of the License, or - (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program. If not, see <http://www.gnu.org/licenses/>. - -Also add information on how to contact you by electronic and paper mail. - - If the program does terminal interaction, make it output a short -notice like this when it starts in an interactive mode: - - <program> Copyright (C) <year> <name of author> - This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. - This is free software, and you are welcome to redistribute it - under certain conditions; type `show c' for details. - -The hypothetical commands `show w' and `show c' should show the appropriate -parts of the General Public License. Of course, your program's commands -might be different; for a GUI interface, you would use an "about box". - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU GPL, see -<http://www.gnu.org/licenses/>. - - The GNU General Public License does not permit incorporating your program -into proprietary programs. If your program is a subroutine library, you -may consider it more useful to permit linking proprietary applications with -the library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. But first, please read -<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/mgizapp/ChangeLog b/mgizapp/ChangeLog deleted file mode 100644 index e69de29..0000000 --- a/mgizapp/ChangeLog +++ /dev/null diff --git a/mgizapp/INSTALL b/mgizapp/INSTALL deleted file mode 100644 index d3c5b40..0000000 --- a/mgizapp/INSTALL +++ /dev/null @@ -1,237 +0,0 @@ -Installation Instructions -************************* - -Copyright (C) 1994, 1995, 1996, 1999, 2000, 2001, 2002, 2004, 2005, -2006, 2007 Free Software Foundation, Inc. - -This file is free documentation; the Free Software Foundation gives -unlimited permission to copy, distribute and modify it. - -Basic Installation -================== - -Briefly, the shell commands `./configure; make; make install' should -configure, build, and install this package. The following -more-detailed instructions are generic; see the `README' file for -instructions specific to this package. - - The `configure' shell script attempts to guess correct values for -various system-dependent variables used during compilation. It uses -those values to create a `Makefile' in each directory of the package. -It may also create one or more `.h' files containing system-dependent -definitions. Finally, it creates a shell script `config.status' that -you can run in the future to recreate the current configuration, and a -file `config.log' containing compiler output (useful mainly for -debugging `configure'). - - It can also use an optional file (typically called `config.cache' -and enabled with `--cache-file=config.cache' or simply `-C') that saves -the results of its tests to speed up reconfiguring. Caching is -disabled by default to prevent problems with accidental use of stale -cache files. - - If you need to do unusual things to compile the package, please try -to figure out how `configure' could check whether to do them, and mail -diffs or instructions to the address given in the `README' so they can -be considered for the next release. If you are using the cache, and at -some point `config.cache' contains results you don't want to keep, you -may remove or edit it. - - The file `configure.ac' (or `configure.in') is used to create -`configure' by a program called `autoconf'. You need `configure.ac' if -you want to change it or regenerate `configure' using a newer version -of `autoconf'. - -The simplest way to compile this package is: - - 1. `cd' to the directory containing the package's source code and type - `./configure' to configure the package for your system. - - Running `configure' might take a while. While running, it prints - some messages telling which features it is checking for. - - 2. Type `make' to compile the package. - - 3. Optionally, type `make check' to run any self-tests that come with - the package. - - 4. Type `make install' to install the programs and any data files and - documentation. - - 5. You can remove the program binaries and object files from the - source code directory by typing `make clean'. To also remove the - files that `configure' created (so you can compile the package for - a different kind of computer), type `make distclean'. There is - also a `make maintainer-clean' target, but that is intended mainly - for the package's developers. If you use it, you may have to get - all sorts of other programs in order to regenerate files that came - with the distribution. - - 6. Often, you can also type `make uninstall' to remove the installed - files again. - -Compilers and Options -===================== - -Some systems require unusual options for compilation or linking that the -`configure' script does not know about. Run `./configure --help' for -details on some of the pertinent environment variables. - - You can give `configure' initial values for configuration parameters -by setting variables in the command line or in the environment. Here -is an example: - - ./configure CC=c99 CFLAGS=-g LIBS=-lposix - - *Note Defining Variables::, for more details. - -Compiling For Multiple Architectures -==================================== - -You can compile the package for more than one kind of computer at the -same time, by placing the object files for each architecture in their -own directory. To do this, you can use GNU `make'. `cd' to the -directory where you want the object files and executables to go and run -the `configure' script. `configure' automatically checks for the -source code in the directory that `configure' is in and in `..'. - - With a non-GNU `make', it is safer to compile the package for one -architecture at a time in the source code directory. After you have -installed the package for one architecture, use `make distclean' before -reconfiguring for another architecture. - -Installation Names -================== - -By default, `make install' installs the package's commands under -`/usr/local/bin', include files under `/usr/local/include', etc. You -can specify an installation prefix other than `/usr/local' by giving -`configure' the option `--prefix=PREFIX'. - - You can specify separate installation prefixes for -architecture-specific files and architecture-independent files. If you -pass the option `--exec-prefix=PREFIX' to `configure', the package uses -PREFIX as the prefix for installing programs and libraries. -Documentation and other data files still use the regular prefix. - - In addition, if you use an unusual directory layout you can give -options like `--bindir=DIR' to specify different values for particular -kinds of files. Run `configure --help' for a list of the directories -you can set and what kinds of files go in them. - - If the package supports it, you can cause programs to be installed -with an extra prefix or suffix on their names by giving `configure' the -option `--program-prefix=PREFIX' or `--program-suffix=SUFFIX'. - -Optional Features -================= - -Some packages pay attention to `--enable-FEATURE' options to -`configure', where FEATURE indicates an optional part of the package. -They may also pay attention to `--with-PACKAGE' options, where PACKAGE -is something like `gnu-as' or `x' (for the X Window System). The -`README' should mention any `--enable-' and `--with-' options that the -package recognizes. - - For packages that use the X Window System, `configure' can usually -find the X include and library files automatically, but if it doesn't, -you can use the `configure' options `--x-includes=DIR' and -`--x-libraries=DIR' to specify their locations. - -Specifying the System Type -========================== - -There may be some features `configure' cannot figure out automatically, -but needs to determine by the type of machine the package will run on. -Usually, assuming the package is built to be run on the _same_ -architectures, `configure' can figure that out, but if it prints a -message saying it cannot guess the machine type, give it the -`--build=TYPE' option. TYPE can either be a short name for the system -type, such as `sun4', or a canonical name which has the form: - - CPU-COMPANY-SYSTEM - -where SYSTEM can have one of these forms: - - OS KERNEL-OS - - See the file `config.sub' for the possible values of each field. If -`config.sub' isn't included in this package, then this package doesn't -need to know the machine type. - - If you are _building_ compiler tools for cross-compiling, you should -use the option `--target=TYPE' to select the type of system they will -produce code for. - - If you want to _use_ a cross compiler, that generates code for a -platform different from the build platform, you should specify the -"host" platform (i.e., that on which the generated programs will -eventually be run) with `--host=TYPE'. - -Sharing Defaults -================ - -If you want to set default values for `configure' scripts to share, you -can create a site shell script called `config.site' that gives default -values for variables like `CC', `cache_file', and `prefix'. -`configure' looks for `PREFIX/share/config.site' if it exists, then -`PREFIX/etc/config.site' if it exists. Or, you can set the -`CONFIG_SITE' environment variable to the location of the site script. -A warning: not all `configure' scripts look for a site script. - -Defining Variables -================== - -Variables not defined in a site shell script can be set in the -environment passed to `configure'. However, some packages may run -configure again during the build, and the customized values of these -variables may be lost. In order to avoid this problem, you should set -them in the `configure' command line, using `VAR=value'. For example: - - ./configure CC=/usr/local2/bin/gcc - -causes the specified `gcc' to be used as the C compiler (unless it is -overridden in the site shell script). - -Unfortunately, this technique does not work for `CONFIG_SHELL' due to -an Autoconf bug. Until the bug is fixed you can use this workaround: - - CONFIG_SHELL=/bin/bash /bin/bash ./configure CONFIG_SHELL=/bin/bash - -`configure' Invocation -====================== - -`configure' recognizes the following options to control how it operates. - -`--help' -`-h' - Print a summary of the options to `configure', and exit. - -`--version' -`-V' - Print the version of Autoconf used to generate the `configure' - script, and exit. - -`--cache-file=FILE' - Enable the cache: use and save the results of the tests in FILE, - traditionally `config.cache'. FILE defaults to `/dev/null' to - disable caching. - -`--config-cache' -`-C' - Alias for `--cache-file=config.cache'. - -`--quiet' -`--silent' -`-q' - Do not print messages saying which checks are being made. To - suppress all normal output, redirect it to `/dev/null' (any error - messages will still be shown). - -`--srcdir=DIR' - Look for the package's source code in directory DIR. Usually - `configure' can determine that directory automatically. - -`configure' also accepts some other, not widely useful, options. Run -`configure --help' for more details. - diff --git a/mgizapp/Makefile.am b/mgizapp/Makefile.am deleted file mode 100644 index 8b28f81..0000000 --- a/mgizapp/Makefile.am +++ /dev/null @@ -1,29 +0,0 @@ -## Process this file with automake to produce Makefile.in -## Created by Anjuta - -SUBDIRS = src - -mgizadocdir = ${prefix}/doc/mgiza -mgizadoc_DATA = \ - README\ - COPYING\ - AUTHORS\ - ChangeLog\ - INSTALL\ - NEWS - -mgizascriptsdir = ${prefix}/scripts/ - -mgizascripts_SCRIPTS = \ - scripts/* - -EXTRA_DIST = $(mgizadoc_DATA) \ - ${mgizascripts_SCRIPTS} -# Copy all the spec files. 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break; - case 32: puts ("hppa2.0n"); break; - default: puts ("hppa2.0"); break; - } break; - #else /* !defined(_SC_KERNEL_BITS) */ - puts ("hppa2.0"); break; - #endif - default: puts ("hppa1.0"); break; - } - exit (0); - } -EOF - (CCOPTS= $CC_FOR_BUILD -o $dummy $dummy.c 2>/dev/null) && HP_ARCH=`$dummy` - test -z "$HP_ARCH" && HP_ARCH=hppa - fi ;; - esac - if [ ${HP_ARCH} = "hppa2.0w" ] - then - eval $set_cc_for_build - - # hppa2.0w-hp-hpux* has a 64-bit kernel and a compiler generating - # 32-bit code. hppa64-hp-hpux* has the same kernel and a compiler - # generating 64-bit code. GNU and HP use different nomenclature: - # - # $ CC_FOR_BUILD=cc ./config.guess - # => hppa2.0w-hp-hpux11.23 - # $ CC_FOR_BUILD="cc +DA2.0w" ./config.guess - # => hppa64-hp-hpux11.23 - - if echo __LP64__ | (CCOPTS= $CC_FOR_BUILD -E - 2>/dev/null) | - grep __LP64__ >/dev/null - then - HP_ARCH="hppa2.0w" - else - HP_ARCH="hppa64" - fi - fi - echo ${HP_ARCH}-hp-hpux${HPUX_REV} - exit ;; - ia64:HP-UX:*:*) - HPUX_REV=`echo ${UNAME_RELEASE}|sed -e 's/[^.]*.[0B]*//'` - echo ia64-hp-hpux${HPUX_REV} - exit ;; - 3050*:HI-UX:*:*) - eval $set_cc_for_build - sed 's/^ //' << EOF >$dummy.c - #include <unistd.h> - int - main () - { - long cpu = sysconf (_SC_CPU_VERSION); - /* The order matters, because CPU_IS_HP_MC68K erroneously returns - true for CPU_PA_RISC1_0. CPU_IS_PA_RISC returns correct - results, however. */ - if (CPU_IS_PA_RISC (cpu)) - { - switch (cpu) - { - case CPU_PA_RISC1_0: puts ("hppa1.0-hitachi-hiuxwe2"); break; - case CPU_PA_RISC1_1: puts ("hppa1.1-hitachi-hiuxwe2"); break; - case CPU_PA_RISC2_0: puts ("hppa2.0-hitachi-hiuxwe2"); break; - default: puts ("hppa-hitachi-hiuxwe2"); break; - } - } - else if (CPU_IS_HP_MC68K (cpu)) - puts ("m68k-hitachi-hiuxwe2"); - else puts ("unknown-hitachi-hiuxwe2"); - exit (0); - } -EOF - $CC_FOR_BUILD -o $dummy $dummy.c && SYSTEM_NAME=`$dummy` && - { echo "$SYSTEM_NAME"; exit; } - echo unknown-hitachi-hiuxwe2 - exit ;; - 9000/7??:4.3bsd:*:* | 9000/8?[79]:4.3bsd:*:* ) - echo hppa1.1-hp-bsd - exit ;; - 9000/8??:4.3bsd:*:*) - echo hppa1.0-hp-bsd - exit ;; - *9??*:MPE/iX:*:* | *3000*:MPE/iX:*:*) - echo hppa1.0-hp-mpeix - exit ;; - hp7??:OSF1:*:* | hp8?[79]:OSF1:*:* ) - echo hppa1.1-hp-osf - exit ;; - hp8??:OSF1:*:*) - echo hppa1.0-hp-osf - exit ;; - i*86:OSF1:*:*) - if [ -x /usr/sbin/sysversion ] ; then - echo ${UNAME_MACHINE}-unknown-osf1mk - else - echo ${UNAME_MACHINE}-unknown-osf1 - fi - exit ;; - parisc*:Lites*:*:*) - echo hppa1.1-hp-lites - exit ;; - C1*:ConvexOS:*:* | convex:ConvexOS:C1*:*) - echo c1-convex-bsd - exit ;; - C2*:ConvexOS:*:* | convex:ConvexOS:C2*:*) - if getsysinfo -f scalar_acc - then echo c32-convex-bsd - else echo c2-convex-bsd - fi - exit ;; - C34*:ConvexOS:*:* | convex:ConvexOS:C34*:*) - echo c34-convex-bsd - exit ;; - C38*:ConvexOS:*:* | convex:ConvexOS:C38*:*) - echo c38-convex-bsd - exit ;; - C4*:ConvexOS:*:* | convex:ConvexOS:C4*:*) - echo c4-convex-bsd - exit ;; - CRAY*Y-MP:*:*:*) - echo ymp-cray-unicos${UNAME_RELEASE} | sed -e 's/\.[^.]*$/.X/' - exit ;; - CRAY*[A-Z]90:*:*:*) - echo ${UNAME_MACHINE}-cray-unicos${UNAME_RELEASE} \ - | sed -e 's/CRAY.*\([A-Z]90\)/\1/' \ - -e y/ABCDEFGHIJKLMNOPQRSTUVWXYZ/abcdefghijklmnopqrstuvwxyz/ \ - -e 's/\.[^.]*$/.X/' - exit ;; - CRAY*TS:*:*:*) - echo t90-cray-unicos${UNAME_RELEASE} | sed -e 's/\.[^.]*$/.X/' - exit ;; - CRAY*T3E:*:*:*) - echo alphaev5-cray-unicosmk${UNAME_RELEASE} | sed -e 's/\.[^.]*$/.X/' - exit ;; - CRAY*SV1:*:*:*) - echo sv1-cray-unicos${UNAME_RELEASE} | sed -e 's/\.[^.]*$/.X/' - exit ;; - *:UNICOS/mp:*:*) - echo craynv-cray-unicosmp${UNAME_RELEASE} | sed -e 's/\.[^.]*$/.X/' - exit ;; - F30[01]:UNIX_System_V:*:* | F700:UNIX_System_V:*:*) - FUJITSU_PROC=`uname -m | tr 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' 'abcdefghijklmnopqrstuvwxyz'` - FUJITSU_SYS=`uname -p | tr 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' 'abcdefghijklmnopqrstuvwxyz' | sed -e 's/\///'` - FUJITSU_REL=`echo ${UNAME_RELEASE} | sed -e 's/ /_/'` - echo "${FUJITSU_PROC}-fujitsu-${FUJITSU_SYS}${FUJITSU_REL}" - exit ;; - 5000:UNIX_System_V:4.*:*) - FUJITSU_SYS=`uname -p | tr 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' 'abcdefghijklmnopqrstuvwxyz' | sed -e 's/\///'` - FUJITSU_REL=`echo ${UNAME_RELEASE} | tr 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' 'abcdefghijklmnopqrstuvwxyz' | sed -e 's/ /_/'` - echo "sparc-fujitsu-${FUJITSU_SYS}${FUJITSU_REL}" - exit ;; - i*86:BSD/386:*:* | i*86:BSD/OS:*:* | *:Ascend\ Embedded/OS:*:*) - echo ${UNAME_MACHINE}-pc-bsdi${UNAME_RELEASE} - exit ;; - sparc*:BSD/OS:*:*) - echo sparc-unknown-bsdi${UNAME_RELEASE} - exit ;; - *:BSD/OS:*:*) - echo ${UNAME_MACHINE}-unknown-bsdi${UNAME_RELEASE} - exit ;; - *:FreeBSD:*:*) - case ${UNAME_MACHINE} in - pc98) - echo i386-unknown-freebsd`echo ${UNAME_RELEASE}|sed -e 's/[-(].*//'` ;; - amd64) - echo x86_64-unknown-freebsd`echo ${UNAME_RELEASE}|sed -e 's/[-(].*//'` ;; - *) - echo ${UNAME_MACHINE}-unknown-freebsd`echo ${UNAME_RELEASE}|sed -e 's/[-(].*//'` ;; - esac - exit ;; - i*:CYGWIN*:*) - echo ${UNAME_MACHINE}-pc-cygwin - exit ;; - *:MINGW*:*) - echo ${UNAME_MACHINE}-pc-mingw32 - exit ;; - i*:windows32*:*) - # uname -m includes "-pc" on this system. - echo ${UNAME_MACHINE}-mingw32 - exit ;; - i*:PW*:*) - echo ${UNAME_MACHINE}-pc-pw32 - exit ;; - *:Interix*:[3456]*) - case ${UNAME_MACHINE} in - x86) - echo i586-pc-interix${UNAME_RELEASE} - exit ;; - EM64T | authenticamd) - echo x86_64-unknown-interix${UNAME_RELEASE} - exit ;; - IA64) - echo ia64-unknown-interix${UNAME_RELEASE} - exit ;; - esac ;; - [345]86:Windows_95:* | [345]86:Windows_98:* | [345]86:Windows_NT:*) - echo i${UNAME_MACHINE}-pc-mks - exit ;; - i*:Windows_NT*:* | Pentium*:Windows_NT*:*) - # How do we know it's Interix rather than the generic POSIX subsystem? - # It also conflicts with pre-2.0 versions of AT&T UWIN. Should we - # UNAME_MACHINE based on the output of uname instead of i386? - echo i586-pc-interix - exit ;; - i*:UWIN*:*) - echo ${UNAME_MACHINE}-pc-uwin - exit ;; - amd64:CYGWIN*:*:* | x86_64:CYGWIN*:*:*) - echo x86_64-unknown-cygwin - exit ;; - p*:CYGWIN*:*) - echo powerpcle-unknown-cygwin - exit ;; - prep*:SunOS:5.*:*) - echo powerpcle-unknown-solaris2`echo ${UNAME_RELEASE}|sed -e 's/[^.]*//'` - exit ;; - *:GNU:*:*) - # the GNU system - echo `echo ${UNAME_MACHINE}|sed -e 's,[-/].*$,,'`-unknown-gnu`echo ${UNAME_RELEASE}|sed -e 's,/.*$,,'` - exit ;; - *:GNU/*:*:*) - # other systems with GNU libc and userland - echo ${UNAME_MACHINE}-unknown-`echo ${UNAME_SYSTEM} | sed 's,^[^/]*/,,' | tr '[A-Z]' '[a-z]'``echo ${UNAME_RELEASE}|sed -e 's/[-(].*//'`-gnu - exit ;; - i*86:Minix:*:*) - echo ${UNAME_MACHINE}-pc-minix - exit ;; - arm*:Linux:*:*) - eval $set_cc_for_build - if echo __ARM_EABI__ | $CC_FOR_BUILD -E - 2>/dev/null \ - | grep -q __ARM_EABI__ - then - echo ${UNAME_MACHINE}-unknown-linux-gnu - else - echo ${UNAME_MACHINE}-unknown-linux-gnueabi - fi - exit ;; - avr32*:Linux:*:*) - echo ${UNAME_MACHINE}-unknown-linux-gnu - exit ;; - cris:Linux:*:*) - echo cris-axis-linux-gnu - exit ;; - crisv32:Linux:*:*) - echo crisv32-axis-linux-gnu - exit ;; - frv:Linux:*:*) - echo frv-unknown-linux-gnu - exit ;; - ia64:Linux:*:*) - echo ${UNAME_MACHINE}-unknown-linux-gnu - exit ;; - m32r*:Linux:*:*) - echo ${UNAME_MACHINE}-unknown-linux-gnu - exit ;; - m68*:Linux:*:*) - echo ${UNAME_MACHINE}-unknown-linux-gnu - exit ;; - mips:Linux:*:*) - eval $set_cc_for_build - sed 's/^ //' << EOF >$dummy.c - #undef CPU - #undef mips - #undef mipsel - #if defined(__MIPSEL__) || defined(__MIPSEL) || defined(_MIPSEL) || defined(MIPSEL) - CPU=mipsel - #else - #if defined(__MIPSEB__) || defined(__MIPSEB) || defined(_MIPSEB) || defined(MIPSEB) - CPU=mips - #else - CPU= - #endif - #endif -EOF - eval "`$CC_FOR_BUILD -E $dummy.c 2>/dev/null | sed -n ' - /^CPU/{ - s: ::g - p - }'`" - test x"${CPU}" != x && { echo "${CPU}-unknown-linux-gnu"; exit; } - ;; - mips64:Linux:*:*) - eval $set_cc_for_build - sed 's/^ //' << EOF >$dummy.c - #undef CPU - #undef mips64 - #undef mips64el - #if defined(__MIPSEL__) || defined(__MIPSEL) || defined(_MIPSEL) || defined(MIPSEL) - CPU=mips64el - #else - #if defined(__MIPSEB__) || defined(__MIPSEB) || defined(_MIPSEB) || defined(MIPSEB) - CPU=mips64 - #else - CPU= - #endif - #endif -EOF - eval "`$CC_FOR_BUILD -E $dummy.c 2>/dev/null | sed -n ' - /^CPU/{ - s: ::g - p - }'`" - test x"${CPU}" != x && { echo "${CPU}-unknown-linux-gnu"; exit; } - ;; - or32:Linux:*:*) - echo or32-unknown-linux-gnu - exit ;; - ppc:Linux:*:*) - echo powerpc-unknown-linux-gnu - exit ;; - ppc64:Linux:*:*) - echo powerpc64-unknown-linux-gnu - exit ;; - alpha:Linux:*:*) - case `sed -n '/^cpu model/s/^.*: \(.*\)/\1/p' < /proc/cpuinfo` in - EV5) UNAME_MACHINE=alphaev5 ;; - EV56) UNAME_MACHINE=alphaev56 ;; - PCA56) UNAME_MACHINE=alphapca56 ;; - PCA57) UNAME_MACHINE=alphapca56 ;; - EV6) UNAME_MACHINE=alphaev6 ;; - EV67) UNAME_MACHINE=alphaev67 ;; - EV68*) UNAME_MACHINE=alphaev68 ;; - esac - objdump --private-headers /bin/sh | grep ld.so.1 >/dev/null - if test "$?" = 0 ; then LIBC="libc1" ; else LIBC="" ; fi - echo ${UNAME_MACHINE}-unknown-linux-gnu${LIBC} - exit ;; - parisc:Linux:*:* | hppa:Linux:*:*) - # Look for CPU level - case `grep '^cpu[^a-z]*:' /proc/cpuinfo 2>/dev/null | cut -d' ' -f2` in - PA7*) echo hppa1.1-unknown-linux-gnu ;; - PA8*) echo hppa2.0-unknown-linux-gnu ;; - *) echo hppa-unknown-linux-gnu ;; - esac - exit ;; - parisc64:Linux:*:* | hppa64:Linux:*:*) - echo hppa64-unknown-linux-gnu - exit ;; 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- a.out-i386-linux) - echo "${UNAME_MACHINE}-pc-linux-gnuaout" - exit ;; - coff-i386) - echo "${UNAME_MACHINE}-pc-linux-gnucoff" - exit ;; - "") - # Either a pre-BFD a.out linker (linux-gnuoldld) or - # one that does not give us useful --help. - echo "${UNAME_MACHINE}-pc-linux-gnuoldld" - exit ;; - esac - # Determine whether the default compiler is a.out or elf - eval $set_cc_for_build - sed 's/^ //' << EOF >$dummy.c - #include <features.h> - #ifdef __ELF__ - # ifdef __GLIBC__ - # if __GLIBC__ >= 2 - LIBC=gnu - # else - LIBC=gnulibc1 - # endif - # else - LIBC=gnulibc1 - # endif - #else - #if defined(__INTEL_COMPILER) || defined(__PGI) || defined(__SUNPRO_C) || defined(__SUNPRO_CC) - LIBC=gnu - #else - LIBC=gnuaout - #endif - #endif - #ifdef __dietlibc__ - LIBC=dietlibc - #endif -EOF - eval "`$CC_FOR_BUILD -E $dummy.c 2>/dev/null | sed -n ' - /^LIBC/{ - s: ::g - p - }'`" - test x"${LIBC}" != x && { - echo "${UNAME_MACHINE}-pc-linux-${LIBC}" - exit - } - test x"${TENTATIVE}" != x && { echo "${TENTATIVE}"; exit; } - ;; - i*86:DYNIX/ptx:4*:*) - # ptx 4.0 does uname -s correctly, with DYNIX/ptx in there. - # earlier versions are messed up and put the nodename in both - # sysname and nodename. - echo i386-sequent-sysv4 - exit ;; - i*86:UNIX_SV:4.2MP:2.*) - # Unixware is an offshoot of SVR4, but it has its own version - # number series starting with 2... - # I am not positive that other SVR4 systems won't match this, - # I just have to hope. -- rms. - # Use sysv4.2uw... so that sysv4* matches it. - echo ${UNAME_MACHINE}-pc-sysv4.2uw${UNAME_VERSION} - exit ;; - i*86:OS/2:*:*) - # If we were able to find `uname', then EMX Unix compatibility - # is probably installed. - echo ${UNAME_MACHINE}-pc-os2-emx - exit ;; - i*86:XTS-300:*:STOP) - echo ${UNAME_MACHINE}-unknown-stop - exit ;; - i*86:atheos:*:*) - echo ${UNAME_MACHINE}-unknown-atheos - exit ;; - i*86:syllable:*:*) - echo ${UNAME_MACHINE}-pc-syllable - exit ;; - i*86:LynxOS:2.*:* | i*86:LynxOS:3.[01]*:* | i*86:LynxOS:4.0*:*) - echo i386-unknown-lynxos${UNAME_RELEASE} - exit ;; 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It is advised that you -download the most up to date version of the config scripts from - - http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD -and - http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD - -If the version you run ($0) is already up to date, please -send the following data and any information you think might be -pertinent to <config-patches@gnu.org> in order to provide the needed -information to handle your system. - -config.guess timestamp = $timestamp - -uname -m = `(uname -m) 2>/dev/null || echo unknown` -uname -r = `(uname -r) 2>/dev/null || echo unknown` -uname -s = `(uname -s) 2>/dev/null || echo unknown` -uname -v = `(uname -v) 2>/dev/null || echo unknown` - -/usr/bin/uname -p = `(/usr/bin/uname -p) 2>/dev/null` -/bin/uname -X = `(/bin/uname -X) 2>/dev/null` - -hostinfo = `(hostinfo) 2>/dev/null` -/bin/universe = `(/bin/universe) 2>/dev/null` -/usr/bin/arch -k = `(/usr/bin/arch -k) 2>/dev/null` -/bin/arch = `(/bin/arch) 2>/dev/null` -/usr/bin/oslevel = `(/usr/bin/oslevel) 2>/dev/null` -/usr/convex/getsysinfo = `(/usr/convex/getsysinfo) 2>/dev/null` - -UNAME_MACHINE = ${UNAME_MACHINE} -UNAME_RELEASE = ${UNAME_RELEASE} -UNAME_SYSTEM = ${UNAME_SYSTEM} -UNAME_VERSION = ${UNAME_VERSION} -EOF - -exit 1 - -# Local variables: -# eval: (add-hook 'write-file-hooks 'time-stamp) -# time-stamp-start: "timestamp='" -# time-stamp-format: "%:y-%02m-%02d" -# time-stamp-end: "'" -# End: diff --git a/mgizapp/config.h.in b/mgizapp/config.h.in deleted file mode 100644 index b168b3e..0000000 --- a/mgizapp/config.h.in +++ /dev/null @@ -1,25 +0,0 @@ -/* config.h.in. Generated from configure.ac by autoheader. */ - -/* Name of package */ -#undef PACKAGE - -/* Define to the address where bug reports for this package should be sent. */ -#undef PACKAGE_BUGREPORT - -/* Define to the full name of this package. */ -#undef PACKAGE_NAME - -/* Define to the full name and version of this package. */ -#undef PACKAGE_STRING - -/* Define to the one symbol short name of this package. */ -#undef PACKAGE_TARNAME - -/* Define to the version of this package. */ -#undef PACKAGE_VERSION - -/* Define to 1 if you have the ANSI C header files. */ -#undef STDC_HEADERS - -/* Version number of package */ -#undef VERSION diff --git a/mgizapp/config.sub b/mgizapp/config.sub deleted file mode 100644 index 6759825..0000000 --- a/mgizapp/config.sub +++ /dev/null @@ -1,1658 +0,0 @@ -#! /bin/sh -# Configuration validation subroutine script. -# Copyright (C) 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, -# 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 -# Free Software Foundation, Inc. - -timestamp='2008-01-16' - -# This file is (in principle) common to ALL GNU software. -# The presence of a machine in this file suggests that SOME GNU software -# can handle that machine. 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See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with this program; if not, write to the Free Software -# Foundation, Inc., 51 Franklin Street - Fifth Floor, Boston, MA -# 02110-1301, USA. -# -# As a special exception to the GNU General Public License, if you -# distribute this file as part of a program that contains a -# configuration script generated by Autoconf, you may include it under -# the same distribution terms that you use for the rest of that program. - - -# Please send patches to <config-patches@gnu.org>. 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- m6811 | m68hc11 | m6812 | m68hc12) - # Motorola 68HC11/12. - basic_machine=$basic_machine-unknown - os=-none - ;; - m88110 | m680[12346]0 | m683?2 | m68360 | m5200 | v70 | w65 | z8k) - ;; - ms1) - basic_machine=mt-unknown - ;; - - # We use `pc' rather than `unknown' - # because (1) that's what they normally are, and - # (2) the word "unknown" tends to confuse beginning users. - i*86 | x86_64) - basic_machine=$basic_machine-pc - ;; - # Object if more than one company name word. - *-*-*) - echo Invalid configuration \`$1\': machine \`$basic_machine\' not recognized 1>&2 - exit 1 - ;; - # Recognize the basic CPU types with company name. - 580-* \ - | a29k-* \ - | alpha-* | alphaev[4-8]-* | alphaev56-* | alphaev6[78]-* \ - | alpha64-* | alpha64ev[4-8]-* | alpha64ev56-* | alpha64ev6[78]-* \ - | alphapca5[67]-* | alpha64pca5[67]-* | arc-* \ - | arm-* | armbe-* | armle-* | armeb-* | armv*-* \ - | avr-* | avr32-* \ - | bfin-* | bs2000-* \ - | c[123]* | c30-* | [cjt]90-* | c4x-* | c54x-* | c55x-* | c6x-* \ - | clipper-* | craynv-* | cydra-* \ - | d10v-* | d30v-* | dlx-* \ - | elxsi-* \ - | f30[01]-* | f700-* | fido-* | fr30-* | frv-* | fx80-* \ - | h8300-* | h8500-* \ - | hppa-* | hppa1.[01]-* | hppa2.0-* | hppa2.0[nw]-* | hppa64-* \ - | i*86-* | i860-* | i960-* | ia64-* \ - | ip2k-* | iq2000-* \ - | m32c-* | m32r-* | m32rle-* \ - | m68000-* | m680[012346]0-* | m68360-* | m683?2-* | m68k-* \ - | m88110-* | m88k-* | maxq-* | mcore-* \ - | mips-* | mipsbe-* | mipseb-* | mipsel-* | mipsle-* \ - | mips16-* \ - | mips64-* | mips64el-* \ - | mips64vr-* | mips64vrel-* \ - | mips64orion-* | mips64orionel-* \ - | mips64vr4100-* | mips64vr4100el-* \ - | mips64vr4300-* | mips64vr4300el-* \ - | mips64vr5000-* | mips64vr5000el-* \ - | mips64vr5900-* | mips64vr5900el-* \ - | mipsisa32-* | mipsisa32el-* \ - | mipsisa32r2-* | mipsisa32r2el-* \ - | mipsisa64-* | mipsisa64el-* \ - | mipsisa64r2-* | mipsisa64r2el-* \ - | mipsisa64sb1-* | mipsisa64sb1el-* \ - | mipsisa64sr71k-* | mipsisa64sr71kel-* \ - | mipstx39-* | mipstx39el-* \ - | mmix-* \ - | mt-* \ - | msp430-* \ - | nios-* | nios2-* \ - | none-* | np1-* | ns16k-* | ns32k-* \ - | orion-* \ - | pdp10-* | pdp11-* | pj-* | pjl-* | pn-* | power-* \ - | powerpc-* | powerpc64-* | powerpc64le-* | powerpcle-* | ppcbe-* \ - | pyramid-* \ - | romp-* | rs6000-* \ - | sh-* | sh[1234]-* | sh[24]a-* | sh[23]e-* | sh[34]eb-* | sheb-* | shbe-* \ - | shle-* | sh[1234]le-* | sh3ele-* | sh64-* | sh64le-* \ - | sparc-* | sparc64-* | sparc64b-* | sparc64v-* | sparc86x-* | sparclet-* \ - | sparclite-* \ - | sparcv8-* | sparcv9-* | sparcv9b-* | sparcv9v-* | strongarm-* | sv1-* | sx?-* \ - | tahoe-* | thumb-* \ - | tic30-* | tic4x-* | tic54x-* | tic55x-* | tic6x-* | tic80-* \ - | tron-* \ - | v850-* | v850e-* | vax-* \ - | we32k-* \ - | x86-* | x86_64-* | xc16x-* | xps100-* | xscale-* | xscalee[bl]-* \ - | xstormy16-* | xtensa*-* \ - | ymp-* \ - | z8k-*) - ;; - # Recognize the basic CPU types without company name, with glob match. - xtensa*) - basic_machine=$basic_machine-unknown - ;; - # Recognize the various machine names and aliases which stand - # for a CPU type and a company and sometimes even an OS. - 386bsd) - basic_machine=i386-unknown - os=-bsd - ;; - 3b1 | 7300 | 7300-att | att-7300 | pc7300 | safari | unixpc) - basic_machine=m68000-att - ;; - 3b*) - basic_machine=we32k-att - ;; - a29khif) - basic_machine=a29k-amd - os=-udi - ;; - abacus) - basic_machine=abacus-unknown - ;; - adobe68k) - basic_machine=m68010-adobe - os=-scout - ;; - alliant | fx80) - basic_machine=fx80-alliant - ;; - altos | altos3068) - basic_machine=m68k-altos - ;; - am29k) - basic_machine=a29k-none - os=-bsd - ;; - amd64) - basic_machine=x86_64-pc - ;; - amd64-*) - basic_machine=x86_64-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - amdahl) - basic_machine=580-amdahl - os=-sysv - ;; - amiga | amiga-*) - basic_machine=m68k-unknown - ;; - amigaos | amigados) - basic_machine=m68k-unknown - os=-amigaos - ;; - amigaunix | amix) - basic_machine=m68k-unknown - os=-sysv4 - ;; - apollo68) - basic_machine=m68k-apollo - os=-sysv - ;; - apollo68bsd) - basic_machine=m68k-apollo - os=-bsd - ;; - aux) - basic_machine=m68k-apple - os=-aux - ;; - balance) - basic_machine=ns32k-sequent - os=-dynix - ;; - blackfin) - basic_machine=bfin-unknown - os=-linux - ;; - blackfin-*) - basic_machine=bfin-`echo $basic_machine | sed 's/^[^-]*-//'` - os=-linux - ;; - c90) - basic_machine=c90-cray - os=-unicos - ;; - convex-c1) - basic_machine=c1-convex - os=-bsd - ;; - convex-c2) - basic_machine=c2-convex - os=-bsd - ;; - convex-c32) - basic_machine=c32-convex - os=-bsd - ;; - convex-c34) - basic_machine=c34-convex - os=-bsd - ;; - convex-c38) - basic_machine=c38-convex - os=-bsd - ;; - cray | j90) - basic_machine=j90-cray - os=-unicos - ;; - craynv) - basic_machine=craynv-cray - os=-unicosmp - ;; - cr16) - basic_machine=cr16-unknown - os=-elf - ;; - crds | unos) - basic_machine=m68k-crds - ;; - crisv32 | crisv32-* | etraxfs*) - basic_machine=crisv32-axis - ;; - cris | cris-* | etrax*) - basic_machine=cris-axis - ;; - crx) - basic_machine=crx-unknown - os=-elf - ;; - da30 | da30-*) - basic_machine=m68k-da30 - ;; - decstation | decstation-3100 | pmax | pmax-* | pmin | dec3100 | decstatn) - basic_machine=mips-dec - ;; - decsystem10* | dec10*) - basic_machine=pdp10-dec - os=-tops10 - ;; - decsystem20* | dec20*) - basic_machine=pdp10-dec - os=-tops20 - ;; - delta | 3300 | motorola-3300 | motorola-delta \ - | 3300-motorola | delta-motorola) - basic_machine=m68k-motorola - ;; - delta88) - basic_machine=m88k-motorola - os=-sysv3 - ;; - djgpp) - basic_machine=i586-pc - os=-msdosdjgpp - ;; - dpx20 | dpx20-*) - basic_machine=rs6000-bull - os=-bosx - ;; - dpx2* | dpx2*-bull) - basic_machine=m68k-bull - os=-sysv3 - ;; - ebmon29k) - basic_machine=a29k-amd - os=-ebmon - ;; - elxsi) - basic_machine=elxsi-elxsi - os=-bsd - ;; - encore | umax | mmax) - basic_machine=ns32k-encore - ;; - es1800 | OSE68k | ose68k | ose | OSE) - basic_machine=m68k-ericsson - os=-ose - ;; - fx2800) - basic_machine=i860-alliant - ;; - genix) - basic_machine=ns32k-ns - ;; - gmicro) - basic_machine=tron-gmicro - os=-sysv - ;; - go32) - basic_machine=i386-pc - os=-go32 - ;; - h3050r* | hiux*) - basic_machine=hppa1.1-hitachi - os=-hiuxwe2 - ;; - h8300hms) - basic_machine=h8300-hitachi - os=-hms - ;; - h8300xray) - basic_machine=h8300-hitachi - os=-xray - ;; - h8500hms) - basic_machine=h8500-hitachi - os=-hms - ;; - harris) - basic_machine=m88k-harris - os=-sysv3 - ;; - hp300-*) - basic_machine=m68k-hp - ;; - hp300bsd) - basic_machine=m68k-hp - os=-bsd - ;; - hp300hpux) - basic_machine=m68k-hp - os=-hpux - ;; - hp3k9[0-9][0-9] | hp9[0-9][0-9]) - basic_machine=hppa1.0-hp - ;; - hp9k2[0-9][0-9] | hp9k31[0-9]) - basic_machine=m68000-hp - ;; - hp9k3[2-9][0-9]) - basic_machine=m68k-hp - ;; - hp9k6[0-9][0-9] | hp6[0-9][0-9]) - basic_machine=hppa1.0-hp - ;; - hp9k7[0-79][0-9] | hp7[0-79][0-9]) - basic_machine=hppa1.1-hp - ;; - hp9k78[0-9] | hp78[0-9]) - # FIXME: really hppa2.0-hp - basic_machine=hppa1.1-hp - ;; - hp9k8[67]1 | hp8[67]1 | hp9k80[24] | hp80[24] | hp9k8[78]9 | hp8[78]9 | hp9k893 | hp893) - # FIXME: really hppa2.0-hp - basic_machine=hppa1.1-hp - ;; - hp9k8[0-9][13679] | hp8[0-9][13679]) - basic_machine=hppa1.1-hp - ;; - hp9k8[0-9][0-9] | hp8[0-9][0-9]) - basic_machine=hppa1.0-hp - ;; - hppa-next) - os=-nextstep3 - ;; - hppaosf) - basic_machine=hppa1.1-hp - os=-osf - ;; - hppro) - basic_machine=hppa1.1-hp - os=-proelf - ;; - i370-ibm* | ibm*) - basic_machine=i370-ibm - ;; -# I'm not sure what "Sysv32" means. Should this be sysv3.2? - i*86v32) - basic_machine=`echo $1 | sed -e 's/86.*/86-pc/'` - os=-sysv32 - ;; - i*86v4*) - basic_machine=`echo $1 | sed -e 's/86.*/86-pc/'` - os=-sysv4 - ;; - i*86v) - basic_machine=`echo $1 | sed -e 's/86.*/86-pc/'` - os=-sysv - ;; - i*86sol2) - basic_machine=`echo $1 | sed -e 's/86.*/86-pc/'` - os=-solaris2 - ;; - i386mach) - basic_machine=i386-mach - os=-mach - ;; - i386-vsta | vsta) - basic_machine=i386-unknown - os=-vsta - ;; - iris | iris4d) - basic_machine=mips-sgi - case $os in - -irix*) - ;; - *) - os=-irix4 - ;; - esac - ;; - isi68 | isi) - basic_machine=m68k-isi - os=-sysv - ;; - m68knommu) - basic_machine=m68k-unknown - os=-linux - ;; - m68knommu-*) - basic_machine=m68k-`echo $basic_machine | sed 's/^[^-]*-//'` - os=-linux - ;; - m88k-omron*) - basic_machine=m88k-omron - ;; - magnum | m3230) - basic_machine=mips-mips - os=-sysv - ;; - merlin) - basic_machine=ns32k-utek - os=-sysv - ;; - mingw32) - basic_machine=i386-pc - os=-mingw32 - ;; - mingw32ce) - basic_machine=arm-unknown - os=-mingw32ce - ;; - miniframe) - basic_machine=m68000-convergent - ;; - *mint | -mint[0-9]* | *MiNT | *MiNT[0-9]*) - basic_machine=m68k-atari - os=-mint - ;; - mips3*-*) - basic_machine=`echo $basic_machine | sed -e 's/mips3/mips64/'` - ;; - mips3*) - basic_machine=`echo $basic_machine | sed -e 's/mips3/mips64/'`-unknown - ;; - monitor) - basic_machine=m68k-rom68k - os=-coff - ;; - morphos) - basic_machine=powerpc-unknown - os=-morphos - ;; - msdos) - basic_machine=i386-pc - os=-msdos - ;; - ms1-*) - basic_machine=`echo $basic_machine | sed -e 's/ms1-/mt-/'` - ;; - mvs) - basic_machine=i370-ibm - os=-mvs - ;; - ncr3000) - basic_machine=i486-ncr - os=-sysv4 - ;; - netbsd386) - basic_machine=i386-unknown - os=-netbsd - ;; - netwinder) - basic_machine=armv4l-rebel - os=-linux - ;; - news | news700 | news800 | news900) - basic_machine=m68k-sony - os=-newsos - ;; - news1000) - basic_machine=m68030-sony - os=-newsos - ;; - news-3600 | risc-news) - basic_machine=mips-sony - os=-newsos - ;; - necv70) - basic_machine=v70-nec - os=-sysv - ;; - next | m*-next ) - basic_machine=m68k-next - case $os in - -nextstep* ) - ;; - -ns2*) - os=-nextstep2 - ;; - *) - os=-nextstep3 - ;; - esac - ;; - nh3000) - basic_machine=m68k-harris - os=-cxux - ;; - nh[45]000) - basic_machine=m88k-harris - os=-cxux - ;; - nindy960) - basic_machine=i960-intel - os=-nindy - ;; - mon960) - basic_machine=i960-intel - os=-mon960 - ;; - nonstopux) - basic_machine=mips-compaq - os=-nonstopux - ;; - np1) - basic_machine=np1-gould - ;; - nsr-tandem) - basic_machine=nsr-tandem - ;; - op50n-* | op60c-*) - basic_machine=hppa1.1-oki - os=-proelf - ;; - openrisc | openrisc-*) - basic_machine=or32-unknown - ;; - os400) - basic_machine=powerpc-ibm - os=-os400 - ;; - OSE68000 | ose68000) - basic_machine=m68000-ericsson - os=-ose - ;; - os68k) - basic_machine=m68k-none - os=-os68k - ;; - pa-hitachi) - basic_machine=hppa1.1-hitachi - os=-hiuxwe2 - ;; - paragon) - basic_machine=i860-intel - os=-osf - ;; - parisc) - basic_machine=hppa-unknown - os=-linux - ;; - parisc-*) - basic_machine=hppa-`echo $basic_machine | sed 's/^[^-]*-//'` - os=-linux - ;; - pbd) - basic_machine=sparc-tti - ;; - pbb) - basic_machine=m68k-tti - ;; - pc532 | pc532-*) - basic_machine=ns32k-pc532 - ;; - pc98) - basic_machine=i386-pc - ;; - pc98-*) - basic_machine=i386-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - pentium | p5 | k5 | k6 | nexgen | viac3) - basic_machine=i586-pc - ;; - pentiumpro | p6 | 6x86 | athlon | athlon_*) - basic_machine=i686-pc - ;; - pentiumii | pentium2 | pentiumiii | pentium3) - basic_machine=i686-pc - ;; - pentium4) - basic_machine=i786-pc - ;; - pentium-* | p5-* | k5-* | k6-* | nexgen-* | viac3-*) - basic_machine=i586-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - pentiumpro-* | p6-* | 6x86-* | athlon-*) - basic_machine=i686-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - pentiumii-* | pentium2-* | pentiumiii-* | pentium3-*) - basic_machine=i686-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - pentium4-*) - basic_machine=i786-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - pn) - basic_machine=pn-gould - ;; - power) basic_machine=power-ibm - ;; - ppc) basic_machine=powerpc-unknown - ;; - ppc-*) basic_machine=powerpc-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - ppcle | powerpclittle | ppc-le | powerpc-little) - basic_machine=powerpcle-unknown - ;; - ppcle-* | powerpclittle-*) - basic_machine=powerpcle-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - ppc64) basic_machine=powerpc64-unknown - ;; - ppc64-*) basic_machine=powerpc64-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - ppc64le | powerpc64little | ppc64-le | powerpc64-little) - basic_machine=powerpc64le-unknown - ;; - ppc64le-* | powerpc64little-*) - basic_machine=powerpc64le-`echo $basic_machine | sed 's/^[^-]*-//'` - ;; - ps2) - basic_machine=i386-ibm - ;; - pw32) - basic_machine=i586-unknown - os=-pw32 - ;; - rdos) - basic_machine=i386-pc - os=-rdos - ;; - rom68k) - basic_machine=m68k-rom68k - os=-coff - ;; - rm[46]00) - basic_machine=mips-siemens - ;; - rtpc | rtpc-*) - basic_machine=romp-ibm - ;; - s390 | s390-*) - basic_machine=s390-ibm - ;; - s390x | s390x-*) - basic_machine=s390x-ibm - ;; - sa29200) - basic_machine=a29k-amd - os=-udi - ;; - sb1) - basic_machine=mipsisa64sb1-unknown - ;; - sb1el) - basic_machine=mipsisa64sb1el-unknown - ;; - sde) - basic_machine=mipsisa32-sde - os=-elf - ;; - sei) - basic_machine=mips-sei - os=-seiux - ;; - sequent) - basic_machine=i386-sequent - ;; - sh) - basic_machine=sh-hitachi - os=-hms - ;; - sh5el) - basic_machine=sh5le-unknown - ;; - sh64) - basic_machine=sh64-unknown - ;; - sparclite-wrs | simso-wrs) - basic_machine=sparclite-wrs - os=-vxworks - ;; - sps7) - basic_machine=m68k-bull - os=-sysv2 - ;; - spur) - basic_machine=spur-unknown - ;; - st2000) - basic_machine=m68k-tandem - ;; - stratus) - basic_machine=i860-stratus - os=-sysv4 - ;; - sun2) - basic_machine=m68000-sun - ;; - sun2os3) - basic_machine=m68000-sun - os=-sunos3 - ;; - sun2os4) - basic_machine=m68000-sun - os=-sunos4 - ;; - sun3os3) - basic_machine=m68k-sun - os=-sunos3 - ;; - sun3os4) - basic_machine=m68k-sun - os=-sunos4 - ;; - sun4os3) - basic_machine=sparc-sun - os=-sunos3 - ;; 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Then, if opt_dryrun is -# not true, evaluate CMD. If the evaluation of CMD fails, and FAIL_EXP -# is given, then evaluate it. -func_show_eval () -{ - my_cmd="$1" - my_fail_exp="${2-:}" - - ${opt_silent-false} || { - func_quote_for_expand "$my_cmd" - eval "func_echo $func_quote_for_expand_result" - } - - if ${opt_dry_run-false}; then :; else - eval "$my_cmd" - my_status=$? - if test "$my_status" -eq 0; then :; else - eval "(exit $my_status); $my_fail_exp" - fi - fi -} - - -# func_show_eval_locale cmd [fail_exp] -# Unless opt_silent is true, then output CMD. Then, if opt_dryrun is -# not true, evaluate CMD. If the evaluation of CMD fails, and FAIL_EXP -# is given, then evaluate it. 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This prevents here-documents from being -# left over by shells. -exec_cmd= - -# func_fatal_configuration arg... -# Echo program name prefixed message to standard error, followed by -# a configuration failure hint, and exit. -func_fatal_configuration () -{ - func_error ${1+"$@"} - func_error "See the $PACKAGE documentation for more information." - func_fatal_error "Fatal configuration error." -} - - -# func_config -# Display the configuration for all the tags in this script. -func_config () -{ - re_begincf='^# ### BEGIN LIBTOOL' - re_endcf='^# ### END LIBTOOL' - - # Default configuration. - $SED "1,/$re_begincf CONFIG/d;/$re_endcf CONFIG/,\$d" < "$progpath" - - # Now print the configurations for the tags. - for tagname in $taglist; do - $SED -n "/$re_begincf TAG CONFIG: $tagname\$/,/$re_endcf TAG CONFIG: $tagname\$/p" < "$progpath" - done - - exit $? -} - -# func_features -# Display the features supported by this script. -func_features () -{ - $ECHO "host: $host" - if test "$build_libtool_libs" = yes; then - $ECHO "enable shared libraries" - else - $ECHO "disable shared libraries" - fi - if test "$build_old_libs" = yes; then - $ECHO "enable static libraries" - else - $ECHO "disable static libraries" - fi - - exit $? -} - -# func_enable_tag tagname -# Verify that TAGNAME is valid, and either flag an error and exit, or -# enable the TAGNAME tag. We also add TAGNAME to the global $taglist -# variable here. -func_enable_tag () -{ - # Global variable: - tagname="$1" - - re_begincf="^# ### BEGIN LIBTOOL TAG CONFIG: $tagname\$" - re_endcf="^# ### END LIBTOOL TAG CONFIG: $tagname\$" - sed_extractcf="/$re_begincf/,/$re_endcf/p" - - # Validate tagname. - case $tagname in - *[!-_A-Za-z0-9,/]*) - func_fatal_error "invalid tag name: $tagname" - ;; - esac - - # Don't test for the "default" C tag, as we know it's - # there but not specially marked. - case $tagname in - CC) ;; - *) - if $GREP "$re_begincf" "$progpath" >/dev/null 2>&1; then - taglist="$taglist $tagname" - - # Evaluate the configuration. 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This is $PACKAGE $VERSION, but the -$progname: definition of this LT_INIT comes from an older release. -$progname: You should recreate aclocal.m4 with macros from $PACKAGE $VERSION -$progname: and run autoconf again. -_LT_EOF - else - cat >&2 <<_LT_EOF -$progname: Version mismatch error. This is $PACKAGE $VERSION, but the -$progname: definition of this LT_INIT comes from $PACKAGE $macro_version. -$progname: You should recreate aclocal.m4 with macros from $PACKAGE $VERSION -$progname: and run autoconf again. -_LT_EOF - fi - else - cat >&2 <<_LT_EOF -$progname: Version mismatch error. This is $PACKAGE $VERSION, revision $package_revision, -$progname: but the definition of this LT_INIT comes from revision $macro_revision. -$progname: You should recreate aclocal.m4 with macros from revision $package_revision -$progname: of $PACKAGE $VERSION and run autoconf again. -_LT_EOF - fi - - exit $EXIT_MISMATCH - fi -} - - -## ----------- ## -## Main. ## -## ----------- ## - -$opt_help || { - # Sanity checks first: - func_check_version_match - - if test "$build_libtool_libs" != yes && test "$build_old_libs" != yes; then - func_fatal_configuration "not configured to build any kind of library" - fi - - test -z "$mode" && func_fatal_error "error: you must specify a MODE." - - - # Darwin sucks - eval std_shrext=\"$shrext_cmds\" - - - # Only execute mode is allowed to have -dlopen flags. - if test -n "$execute_dlfiles" && test "$mode" != execute; then - func_error "unrecognized option \`-dlopen'" - $ECHO "$help" 1>&2 - exit $EXIT_FAILURE - fi - - # Change the help message to a mode-specific one. - generic_help="$help" - help="Try \`$progname --help --mode=$mode' for more information." -} - - -# func_lalib_p file -# True iff FILE is a libtool `.la' library or `.lo' object file. -# This function is only a basic sanity check; it will hardly flush out -# determined imposters. -func_lalib_p () -{ - test -f "$1" && - $SED -e 4q "$1" 2>/dev/null \ - | $GREP "^# Generated by .*$PACKAGE" > /dev/null 2>&1 -} - -# func_lalib_unsafe_p file -# True iff FILE is a libtool `.la' library or `.lo' object file. -# This function implements the same check as func_lalib_p without -# resorting to external programs. To this end, it redirects stdin and -# closes it afterwards, without saving the original file descriptor. -# As a safety measure, use it only where a negative result would be -# fatal anyway. Works if `file' does not exist. -func_lalib_unsafe_p () -{ - lalib_p=no - if test -f "$1" && test -r "$1" && exec 5<&0 <"$1"; then - for lalib_p_l in 1 2 3 4 - do - read lalib_p_line - case "$lalib_p_line" in - \#\ Generated\ by\ *$PACKAGE* ) lalib_p=yes; break;; - esac - done - exec 0<&5 5<&- - fi - test "$lalib_p" = yes -} - -# func_ltwrapper_script_p file -# True iff FILE is a libtool wrapper script -# This function is only a basic sanity check; it will hardly flush out -# determined imposters. -func_ltwrapper_script_p () -{ - func_lalib_p "$1" -} - -# func_ltwrapper_executable_p file -# True iff FILE is a libtool wrapper executable -# This function is only a basic sanity check; it will hardly flush out -# determined imposters. -func_ltwrapper_executable_p () -{ - func_ltwrapper_exec_suffix= - case $1 in - *.exe) ;; - *) func_ltwrapper_exec_suffix=.exe ;; - esac - $GREP "$magic_exe" "$1$func_ltwrapper_exec_suffix" >/dev/null 2>&1 -} - -# func_ltwrapper_scriptname file -# Assumes file is an ltwrapper_executable -# uses $file to determine the appropriate filename for a -# temporary ltwrapper_script. -func_ltwrapper_scriptname () -{ - func_ltwrapper_scriptname_result="" - if func_ltwrapper_executable_p "$1"; then - func_dirname_and_basename "$1" "" "." - func_stripname '' '.exe' "$func_basename_result" - func_ltwrapper_scriptname_result="$func_dirname_result/$objdir/${func_stripname_result}_ltshwrapper" - fi -} - -# func_ltwrapper_p file -# True iff FILE is a libtool wrapper script or wrapper executable -# This function is only a basic sanity check; it will hardly flush out -# determined imposters. -func_ltwrapper_p () -{ - func_ltwrapper_script_p "$1" || func_ltwrapper_executable_p "$1" -} - - -# func_execute_cmds commands fail_cmd -# Execute tilde-delimited COMMANDS. -# If FAIL_CMD is given, eval that upon failure. -# FAIL_CMD may read-access the current command in variable CMD! -func_execute_cmds () -{ - $opt_debug - save_ifs=$IFS; IFS='~' - for cmd in $1; do - IFS=$save_ifs - eval cmd=\"$cmd\" - func_show_eval "$cmd" "${2-:}" - done - IFS=$save_ifs -} - - -# func_source file -# Source FILE, adding directory component if necessary. -# Note that it is not necessary on cygwin/mingw to append a dot to -# FILE even if both FILE and FILE.exe exist: automatic-append-.exe -# behavior happens only for exec(3), not for open(2)! Also, sourcing -# `FILE.' does not work on cygwin managed mounts. -func_source () -{ - $opt_debug - case $1 in - */* | *\\*) . "$1" ;; - *) . 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then - destdir="$dest" - destname= - else - func_dirname_and_basename "$dest" "" "." - destdir="$func_dirname_result" - destname="$func_basename_result" - - # Not a directory, so check to see that there is only one file specified. - set dummy $files; shift - test "$#" -gt 1 && \ - func_fatal_help "\`$dest' is not a directory" - fi - case $destdir in - [\\/]* | [A-Za-z]:[\\/]*) ;; - *) - for file in $files; do - case $file in - *.lo) ;; - *) - func_fatal_help "\`$destdir' must be an absolute directory name" - ;; - esac - done - ;; - esac - - # This variable tells wrapper scripts just to set variables rather - # than running their programs. - libtool_install_magic="$magic" - - staticlibs= - future_libdirs= - current_libdirs= - for file in $files; do - - # Do each installation. - case $file in - *.$libext) - # Do the static libraries later. - staticlibs="$staticlibs $file" - ;; - - *.la) - # Check to see that this really is a libtool archive. - func_lalib_unsafe_p "$file" \ - || func_fatal_help "\`$file' is not a valid libtool archive" - - library_names= - old_library= - relink_command= - func_source "$file" - - # Add the libdir to current_libdirs if it is the destination. - if test "X$destdir" = "X$libdir"; then - case "$current_libdirs " in - *" $libdir "*) ;; - *) current_libdirs="$current_libdirs $libdir" ;; - esac - else - # Note the libdir as a future libdir. - case "$future_libdirs " in - *" $libdir "*) ;; - *) future_libdirs="$future_libdirs $libdir" ;; - esac - fi - - func_dirname "$file" "/" "" - dir="$func_dirname_result" - dir="$dir$objdir" - - if test -n "$relink_command"; then - # Determine the prefix the user has applied to our future dir. - inst_prefix_dir=`$ECHO "X$destdir" | $Xsed -e "s%$libdir\$%%"` - - # Don't allow the user to place us outside of our expected - # location b/c this prevents finding dependent libraries that - # are installed to the same prefix. - # At present, this check doesn't affect windows .dll's that - # are installed into $libdir/../bin (currently, that works fine) - # but it's something to keep an eye on. - test "$inst_prefix_dir" = "$destdir" && \ - func_fatal_error "error: cannot install \`$file' to a directory not ending in $libdir" - - if test -n "$inst_prefix_dir"; then - # Stick the inst_prefix_dir data into the link command. - relink_command=`$ECHO "X$relink_command" | $Xsed -e "s%@inst_prefix_dir@%-inst-prefix-dir $inst_prefix_dir%"` - else - relink_command=`$ECHO "X$relink_command" | $Xsed -e "s%@inst_prefix_dir@%%"` - fi - - func_warning "relinking \`$file'" - func_show_eval "$relink_command" \ - 'func_fatal_error "error: relink \`$file'\'' with the above command before installing it"' - fi - - # See the names of the shared library. - set dummy $library_names; shift - if test -n "$1"; then - realname="$1" - shift - - srcname="$realname" - test -n "$relink_command" && srcname="$realname"T - - # Install the shared library and build the symlinks. - func_show_eval "$install_prog $dir/$srcname $destdir/$realname" \ - 'exit $?' - tstripme="$stripme" - case $host_os in - cygwin* | mingw* | pw32* | cegcc*) - case $realname in - *.dll.a) - tstripme="" - ;; - esac - ;; - esac - if test -n "$tstripme" && test -n "$striplib"; then - func_show_eval "$striplib $destdir/$realname" 'exit $?' - fi - - if test "$#" -gt 0; then - # Delete the old symlinks, and create new ones. - # Try `ln -sf' first, because the `ln' binary might depend on - # the symlink we replace! Solaris /bin/ln does not understand -f, - # so we also need to try rm && ln -s. - for linkname - do - test "$linkname" != "$realname" \ - && func_show_eval "(cd $destdir && { $LN_S -f $realname $linkname || { $RM $linkname && $LN_S $realname $linkname; }; })" - done - fi - - # Do each command in the postinstall commands. - lib="$destdir/$realname" - func_execute_cmds "$postinstall_cmds" 'exit $?' - fi - - # Install the pseudo-library for information purposes. - func_basename "$file" - name="$func_basename_result" - instname="$dir/$name"i - func_show_eval "$install_prog $instname $destdir/$name" 'exit $?' - - # Maybe install the static library, too. - test -n "$old_library" && staticlibs="$staticlibs $dir/$old_library" - ;; - - *.lo) - # Install (i.e. copy) a libtool object. - - # Figure out destination file name, if it wasn't already specified. - if test -n "$destname"; then - destfile="$destdir/$destname" - else - func_basename "$file" - destfile="$func_basename_result" - destfile="$destdir/$destfile" - fi - - # Deduce the name of the destination old-style object file. - case $destfile in - *.lo) - func_lo2o "$destfile" - staticdest=$func_lo2o_result - ;; - *.$objext) - staticdest="$destfile" - destfile= - ;; - *) - func_fatal_help "cannot copy a libtool object to \`$destfile'" - ;; - esac - - # Install the libtool object if requested. - test -n "$destfile" && \ - func_show_eval "$install_prog $file $destfile" 'exit $?' - - # Install the old object if enabled. - if test "$build_old_libs" = yes; then - # Deduce the name of the old-style object file. - func_lo2o "$file" - staticobj=$func_lo2o_result - func_show_eval "$install_prog \$staticobj \$staticdest" 'exit $?' - fi - exit $EXIT_SUCCESS - ;; - - *) - # Figure out destination file name, if it wasn't already specified. - if test -n "$destname"; then - destfile="$destdir/$destname" - else - func_basename "$file" - destfile="$func_basename_result" - destfile="$destdir/$destfile" - fi - - # If the file is missing, and there is a .exe on the end, strip it - # because it is most likely a libtool script we actually want to - # install - stripped_ext="" - case $file in - *.exe) - if test ! -f "$file"; then - func_stripname '' '.exe' "$file" - file=$func_stripname_result - stripped_ext=".exe" - fi - ;; - esac - - # Do a test to see if this is really a libtool program. - case $host in - *cygwin* | *mingw*) - if func_ltwrapper_executable_p "$file"; then - func_ltwrapper_scriptname "$file" - wrapper=$func_ltwrapper_scriptname_result - else - func_stripname '' '.exe' "$file" - wrapper=$func_stripname_result - fi - ;; - *) - wrapper=$file - ;; - esac - if func_ltwrapper_script_p "$wrapper"; then - notinst_deplibs= - relink_command= - - func_source "$wrapper" - - # Check the variables that should have been set. - test -z "$generated_by_libtool_version" && \ - func_fatal_error "invalid libtool wrapper script \`$wrapper'" - - finalize=yes - for lib in $notinst_deplibs; do - # Check to see that each library is installed. - libdir= - if test -f "$lib"; then - func_source "$lib" - fi - libfile="$libdir/"`$ECHO "X$lib" | $Xsed -e 's%^.*/%%g'` ### testsuite: skip nested quoting test - if test -n "$libdir" && test ! -f "$libfile"; then - func_warning "\`$lib' has not been installed in \`$libdir'" - finalize=no - fi - done - - relink_command= - func_source "$wrapper" - - outputname= - if test "$fast_install" = no && test -n "$relink_command"; then - $opt_dry_run || { - if test "$finalize" = yes; then - tmpdir=`func_mktempdir` - func_basename "$file$stripped_ext" - file="$func_basename_result" - outputname="$tmpdir/$file" - # Replace the output file specification. - relink_command=`$ECHO "X$relink_command" | $Xsed -e 's%@OUTPUT@%'"$outputname"'%g'` - - $opt_silent || { - func_quote_for_expand "$relink_command" - eval "func_echo $func_quote_for_expand_result" - } - if eval "$relink_command"; then : - else - func_error "error: relink \`$file' with the above command before installing it" - $opt_dry_run || ${RM}r "$tmpdir" - continue - fi - file="$outputname" - else - func_warning "cannot relink \`$file'" - fi - } - else - # Install the binary that we compiled earlier. - file=`$ECHO "X$file$stripped_ext" | $Xsed -e "s%\([^/]*\)$%$objdir/\1%"` - fi - fi - - # remove .exe since cygwin /usr/bin/install will append another - # one anyway - case $install_prog,$host in - */usr/bin/install*,*cygwin*) - case $file:$destfile in - *.exe:*.exe) - # this is ok - ;; - *.exe:*) - destfile=$destfile.exe - ;; - *:*.exe) - func_stripname '' '.exe' "$destfile" - destfile=$func_stripname_result - ;; - esac - ;; - esac - func_show_eval "$install_prog\$stripme \$file \$destfile" 'exit $?' - $opt_dry_run || if test -n "$outputname"; then - ${RM}r "$tmpdir" - fi - ;; - esac - done - - for file in $staticlibs; do - func_basename "$file" - name="$func_basename_result" - - # Set up the ranlib parameters. - oldlib="$destdir/$name" - - func_show_eval "$install_prog \$file \$oldlib" 'exit $?' - - if test -n "$stripme" && test -n "$old_striplib"; then - func_show_eval "$old_striplib $oldlib" 'exit $?' - fi - - # Do each command in the postinstall commands. - func_execute_cmds "$old_postinstall_cmds" 'exit $?' - done - - test -n "$future_libdirs" && \ - func_warning "remember to run \`$progname --finish$future_libdirs'" - - if test -n "$current_libdirs"; then - # Maybe just do a dry run. - $opt_dry_run && current_libdirs=" -n$current_libdirs" - exec_cmd='$SHELL $progpath $preserve_args --finish$current_libdirs' - else - exit $EXIT_SUCCESS - fi -} - -test "$mode" = install && func_mode_install ${1+"$@"} - - -# func_generate_dlsyms outputname originator pic_p -# Extract symbols from dlprefiles and create ${outputname}S.o with -# a dlpreopen symbol table. -func_generate_dlsyms () -{ - $opt_debug - my_outputname="$1" - my_originator="$2" - my_pic_p="${3-no}" - my_prefix=`$ECHO "$my_originator" | sed 's%[^a-zA-Z0-9]%_%g'` - my_dlsyms= - - if test -n "$dlfiles$dlprefiles" || test "$dlself" != no; then - if test -n "$NM" && test -n "$global_symbol_pipe"; then - my_dlsyms="${my_outputname}S.c" - else - func_error "not configured to extract global symbols from dlpreopened files" - fi - fi - - if test -n "$my_dlsyms"; then - case $my_dlsyms in - "") ;; - *.c) - # Discover the nlist of each of the dlfiles. - nlist="$output_objdir/${my_outputname}.nm" - - func_show_eval "$RM $nlist ${nlist}S ${nlist}T" - - # Parse the name list into a source file. - func_verbose "creating $output_objdir/$my_dlsyms" - - $opt_dry_run || $ECHO > "$output_objdir/$my_dlsyms" "\ -/* $my_dlsyms - symbol resolution table for \`$my_outputname' dlsym emulation. */ -/* Generated by $PROGRAM (GNU $PACKAGE$TIMESTAMP) $VERSION */ - -#ifdef __cplusplus -extern \"C\" { -#endif - -/* External symbol declarations for the compiler. */\ -" - - if test "$dlself" = yes; then - func_verbose "generating symbol list for \`$output'" - - $opt_dry_run || echo ': @PROGRAM@ ' > "$nlist" - - # Add our own program objects to the symbol list. - progfiles=`$ECHO "X$objs$old_deplibs" | $SP2NL | $Xsed -e "$lo2o" | $NL2SP` - for progfile in $progfiles; do - func_verbose "extracting global C symbols from \`$progfile'" - $opt_dry_run || eval "$NM $progfile | $global_symbol_pipe >> '$nlist'" - done - - if test -n "$exclude_expsyms"; then - $opt_dry_run || { - eval '$EGREP -v " ($exclude_expsyms)$" "$nlist" > "$nlist"T' - eval '$MV "$nlist"T "$nlist"' - } - fi - - if test -n "$export_symbols_regex"; then - $opt_dry_run || { - eval '$EGREP -e "$export_symbols_regex" "$nlist" > "$nlist"T' - eval '$MV "$nlist"T "$nlist"' - } - fi - - # Prepare the list of exported symbols - if test -z "$export_symbols"; then - export_symbols="$output_objdir/$outputname.exp" - $opt_dry_run || { - $RM $export_symbols - eval "${SED} -n -e '/^: @PROGRAM@ $/d' -e 's/^.* \(.*\)$/\1/p' "'< "$nlist" > "$export_symbols"' - case $host in - *cygwin* | *mingw* | *cegcc* ) - eval "echo EXPORTS "'> "$output_objdir/$outputname.def"' - eval 'cat "$export_symbols" >> "$output_objdir/$outputname.def"' - ;; - esac - } - else - $opt_dry_run || { - eval "${SED} -e 's/\([].[*^$]\)/\\\\\1/g' -e 's/^/ /' -e 's/$/$/'"' < "$export_symbols" > "$output_objdir/$outputname.exp"' - eval '$GREP -f "$output_objdir/$outputname.exp" < "$nlist" > "$nlist"T' - eval '$MV "$nlist"T "$nlist"' - case $host in - *cygwin | *mingw* | *cegcc* ) - eval "echo EXPORTS "'> "$output_objdir/$outputname.def"' - eval 'cat "$nlist" >> "$output_objdir/$outputname.def"' - ;; - esac - } - fi - fi - - for dlprefile in $dlprefiles; do - func_verbose "extracting global C symbols from \`$dlprefile'" - func_basename "$dlprefile" - name="$func_basename_result" - $opt_dry_run || { - eval '$ECHO ": $name " >> "$nlist"' - eval "$NM $dlprefile 2>/dev/null | $global_symbol_pipe >> '$nlist'" - } - done - - $opt_dry_run || { - # Make sure we have at least an empty file. - test -f "$nlist" || : > "$nlist" - - if test -n "$exclude_expsyms"; then - $EGREP -v " ($exclude_expsyms)$" "$nlist" > "$nlist"T - $MV "$nlist"T "$nlist" - fi - - # Try sorting and uniquifying the output. - if $GREP -v "^: " < "$nlist" | - if sort -k 3 </dev/null >/dev/null 2>&1; then - sort -k 3 - else - sort +2 - fi | - uniq > "$nlist"S; then - : - else - $GREP -v "^: " < "$nlist" > "$nlist"S - fi - - if test -f "$nlist"S; then - eval "$global_symbol_to_cdecl"' < "$nlist"S >> "$output_objdir/$my_dlsyms"' - else - $ECHO '/* NONE */' >> "$output_objdir/$my_dlsyms" - fi - - $ECHO >> "$output_objdir/$my_dlsyms" "\ - -/* The mapping between symbol names and symbols. */ -typedef struct { - const char *name; - void *address; -} lt_dlsymlist; -" - case $host in - *cygwin* | *mingw* | *cegcc* ) - $ECHO >> "$output_objdir/$my_dlsyms" "\ -/* DATA imports from DLLs on WIN32 con't be const, because - runtime relocations are performed -- see ld's documentation - on pseudo-relocs. */" - lt_dlsym_const= ;; - *osf5*) - echo >> "$output_objdir/$my_dlsyms" "\ -/* This system does not cope well with relocations in const data */" - lt_dlsym_const= ;; - *) - lt_dlsym_const=const ;; - esac - - $ECHO >> "$output_objdir/$my_dlsyms" "\ -extern $lt_dlsym_const lt_dlsymlist -lt_${my_prefix}_LTX_preloaded_symbols[]; -$lt_dlsym_const lt_dlsymlist -lt_${my_prefix}_LTX_preloaded_symbols[] = -{\ - { \"$my_originator\", (void *) 0 }," - - case $need_lib_prefix in - no) - eval "$global_symbol_to_c_name_address" < "$nlist" >> "$output_objdir/$my_dlsyms" - ;; - *) - eval "$global_symbol_to_c_name_address_lib_prefix" < "$nlist" >> "$output_objdir/$my_dlsyms" - ;; - esac - $ECHO >> "$output_objdir/$my_dlsyms" "\ - {0, (void *) 0} -}; - -/* This works around a problem in FreeBSD linker */ -#ifdef FREEBSD_WORKAROUND -static const void *lt_preloaded_setup() { - return lt_${my_prefix}_LTX_preloaded_symbols; -} -#endif - -#ifdef __cplusplus -} -#endif\ -" - } # !$opt_dry_run - - pic_flag_for_symtable= - case "$compile_command " in - *" -static "*) ;; - *) - case $host in - # compiling the symbol table file with pic_flag works around - # a FreeBSD bug that causes programs to crash when -lm is - # linked before any other PIC object. But we must not use - # pic_flag when linking with -static. The problem exists in - # FreeBSD 2.2.6 and is fixed in FreeBSD 3.1. - *-*-freebsd2*|*-*-freebsd3.0*|*-*-freebsdelf3.0*) - pic_flag_for_symtable=" $pic_flag -DFREEBSD_WORKAROUND" ;; - *-*-hpux*) - pic_flag_for_symtable=" $pic_flag" ;; - *) - if test "X$my_pic_p" != Xno; then - pic_flag_for_symtable=" $pic_flag" - fi - ;; - esac - ;; - esac - symtab_cflags= - for arg in $LTCFLAGS; do - case $arg in - -pie | -fpie | -fPIE) ;; - *) symtab_cflags="$symtab_cflags $arg" ;; - esac - done - - # Now compile the dynamic symbol file. - func_show_eval '(cd $output_objdir && $LTCC$symtab_cflags -c$no_builtin_flag$pic_flag_for_symtable "$my_dlsyms")' 'exit $?' - - # Clean up the generated files. - func_show_eval '$RM "$output_objdir/$my_dlsyms" "$nlist" "${nlist}S" "${nlist}T"' - - # Transform the symbol file into the correct name. - symfileobj="$output_objdir/${my_outputname}S.$objext" - case $host in - *cygwin* | *mingw* | *cegcc* ) - if test -f "$output_objdir/$my_outputname.def"; then - compile_command=`$ECHO "X$compile_command" | $Xsed -e "s%@SYMFILE@%$output_objdir/$my_outputname.def $symfileobj%"` - finalize_command=`$ECHO "X$finalize_command" | $Xsed -e "s%@SYMFILE@%$output_objdir/$my_outputname.def $symfileobj%"` - else - compile_command=`$ECHO "X$compile_command" | $Xsed -e "s%@SYMFILE@%$symfileobj%"` - finalize_command=`$ECHO "X$finalize_command" | $Xsed -e "s%@SYMFILE@%$symfileobj%"` - fi - ;; - *) - compile_command=`$ECHO "X$compile_command" | $Xsed -e "s%@SYMFILE@%$symfileobj%"` - finalize_command=`$ECHO "X$finalize_command" | $Xsed -e "s%@SYMFILE@%$symfileobj%"` - ;; - esac - ;; - *) - func_fatal_error "unknown suffix for \`$my_dlsyms'" - ;; - esac - else - # We keep going just in case the user didn't refer to - # lt_preloaded_symbols. The linker will fail if global_symbol_pipe - # really was required. - - # Nullify the symbol file. - compile_command=`$ECHO "X$compile_command" | $Xsed -e "s% @SYMFILE@%%"` - finalize_command=`$ECHO "X$finalize_command" | $Xsed -e "s% @SYMFILE@%%"` - fi -} - -# func_win32_libid arg -# return the library type of file 'arg' -# -# Need a lot of goo to handle *both* DLLs and import libs -# Has to be a shell function in order to 'eat' the argument -# that is supplied when $file_magic_command is called. -func_win32_libid () -{ - $opt_debug - win32_libid_type="unknown" - win32_fileres=`file -L $1 2>/dev/null` - case $win32_fileres in - *ar\ archive\ import\ library*) # definitely import - win32_libid_type="x86 archive import" - ;; - *ar\ archive*) # could be an import, or static - if eval $OBJDUMP -f $1 | $SED -e '10q' 2>/dev/null | - $EGREP 'file format pe-i386(.*architecture: i386)?' >/dev/null ; then - win32_nmres=`eval $NM -f posix -A $1 | - $SED -n -e ' - 1,100{ - / I /{ - s,.*,import, - p - q - } - }'` - case $win32_nmres in - import*) win32_libid_type="x86 archive import";; - *) win32_libid_type="x86 archive static";; - esac - fi - ;; - *DLL*) - win32_libid_type="x86 DLL" - ;; - *executable*) # but shell scripts are "executable" too... - case $win32_fileres in - *MS\ Windows\ PE\ Intel*) - win32_libid_type="x86 DLL" - ;; - esac - ;; - esac - $ECHO "$win32_libid_type" -} - - - -# func_extract_an_archive dir oldlib -func_extract_an_archive () -{ - $opt_debug - f_ex_an_ar_dir="$1"; shift - f_ex_an_ar_oldlib="$1" - func_show_eval "(cd \$f_ex_an_ar_dir && $AR x \"\$f_ex_an_ar_oldlib\")" 'exit $?' - if ($AR t "$f_ex_an_ar_oldlib" | sort | sort -uc >/dev/null 2>&1); then - : - else - func_fatal_error "object name conflicts in archive: $f_ex_an_ar_dir/$f_ex_an_ar_oldlib" - fi -} - - -# func_extract_archives gentop oldlib ... -func_extract_archives () -{ - $opt_debug - my_gentop="$1"; shift - my_oldlibs=${1+"$@"} - my_oldobjs="" - my_xlib="" - my_xabs="" - my_xdir="" - - for my_xlib in $my_oldlibs; do - # Extract the objects. - case $my_xlib in - [\\/]* | [A-Za-z]:[\\/]*) my_xabs="$my_xlib" ;; - *) my_xabs=`pwd`"/$my_xlib" ;; - esac - func_basename "$my_xlib" - my_xlib="$func_basename_result" - my_xlib_u=$my_xlib - while :; do - case " $extracted_archives " in - *" $my_xlib_u "*) - func_arith $extracted_serial + 1 - extracted_serial=$func_arith_result - my_xlib_u=lt$extracted_serial-$my_xlib ;; - *) break ;; - esac - done - extracted_archives="$extracted_archives $my_xlib_u" - my_xdir="$my_gentop/$my_xlib_u" - - func_mkdir_p "$my_xdir" - - case $host in - *-darwin*) - func_verbose "Extracting $my_xabs" - # Do not bother doing anything if just a dry run - $opt_dry_run || { - darwin_orig_dir=`pwd` - cd $my_xdir || exit $? - darwin_archive=$my_xabs - darwin_curdir=`pwd` - darwin_base_archive=`basename "$darwin_archive"` - darwin_arches=`$LIPO -info "$darwin_archive" 2>/dev/null | $GREP Architectures 2>/dev/null || true` - if test -n "$darwin_arches"; then - darwin_arches=`$ECHO "$darwin_arches" | $SED -e 's/.*are://'` - darwin_arch= - func_verbose "$darwin_base_archive has multiple architectures $darwin_arches" - for darwin_arch in $darwin_arches ; do - func_mkdir_p "unfat-$$/${darwin_base_archive}-${darwin_arch}" - $LIPO -thin $darwin_arch -output "unfat-$$/${darwin_base_archive}-${darwin_arch}/${darwin_base_archive}" "${darwin_archive}" - cd "unfat-$$/${darwin_base_archive}-${darwin_arch}" - func_extract_an_archive "`pwd`" "${darwin_base_archive}" - cd "$darwin_curdir" - $RM "unfat-$$/${darwin_base_archive}-${darwin_arch}/${darwin_base_archive}" - done # $darwin_arches - ## Okay now we've a bunch of thin objects, gotta fatten them up :) - darwin_filelist=`find unfat-$$ -type f -name \*.o -print -o -name \*.lo -print | $SED -e "$basename" | sort -u` - darwin_file= - darwin_files= - for darwin_file in $darwin_filelist; do - darwin_files=`find unfat-$$ -name $darwin_file -print | $NL2SP` - $LIPO -create -output "$darwin_file" $darwin_files - done # $darwin_filelist - $RM -rf unfat-$$ - cd "$darwin_orig_dir" - else - cd $darwin_orig_dir - func_extract_an_archive "$my_xdir" "$my_xabs" - fi # $darwin_arches - } # !$opt_dry_run - ;; - *) - func_extract_an_archive "$my_xdir" "$my_xabs" - ;; - esac - my_oldobjs="$my_oldobjs "`find $my_xdir -name \*.$objext -print -o -name \*.lo -print | $NL2SP` - done - - func_extract_archives_result="$my_oldobjs" -} - - - -# func_emit_wrapper_part1 [arg=no] -# -# Emit the first part of a libtool wrapper script on stdout. -# For more information, see the description associated with -# func_emit_wrapper(), below. -func_emit_wrapper_part1 () -{ - func_emit_wrapper_part1_arg1=no - if test -n "$1" ; then - func_emit_wrapper_part1_arg1=$1 - fi - - $ECHO "\ -#! $SHELL - -# $output - temporary wrapper script for $objdir/$outputname -# Generated by $PROGRAM (GNU $PACKAGE$TIMESTAMP) $VERSION -# -# The $output program cannot be directly executed until all the libtool -# libraries that it depends on are installed. -# -# This wrapper script should never be moved out of the build directory. -# If it is, it will not operate correctly. - -# Sed substitution that helps us do robust quoting. It backslashifies -# metacharacters that are still active within double-quoted strings. -Xsed='${SED} -e 1s/^X//' -sed_quote_subst='$sed_quote_subst' - -# Be Bourne compatible -if test -n \"\${ZSH_VERSION+set}\" && (emulate sh) >/dev/null 2>&1; then - emulate sh - NULLCMD=: - # Zsh 3.x and 4.x performs word splitting on \${1+\"\$@\"}, which - # is contrary to our usage. Disable this feature. - alias -g '\${1+\"\$@\"}'='\"\$@\"' - setopt NO_GLOB_SUBST -else - case \`(set -o) 2>/dev/null\` in *posix*) set -o posix;; esac -fi -BIN_SH=xpg4; export BIN_SH # for Tru64 -DUALCASE=1; export DUALCASE # for MKS sh - -# The HP-UX ksh and POSIX shell print the target directory to stdout -# if CDPATH is set. -(unset CDPATH) >/dev/null 2>&1 && unset CDPATH - -relink_command=\"$relink_command\" - -# This environment variable determines our operation mode. -if test \"\$libtool_install_magic\" = \"$magic\"; then - # install mode needs the following variables: - generated_by_libtool_version='$macro_version' - notinst_deplibs='$notinst_deplibs' -else - # When we are sourced in execute mode, \$file and \$ECHO are already set. - if test \"\$libtool_execute_magic\" != \"$magic\"; then - ECHO=\"$qecho\" - file=\"\$0\" - # Make sure echo works. - if test \"X\$1\" = X--no-reexec; then - # Discard the --no-reexec flag, and continue. - shift - elif test \"X\`{ \$ECHO '\t'; } 2>/dev/null\`\" = 'X\t'; then - # Yippee, \$ECHO works! - : - else - # Restart under the correct shell, and then maybe \$ECHO will work. - exec $SHELL \"\$0\" --no-reexec \${1+\"\$@\"} - fi - fi\ -" - $ECHO "\ - - # Find the directory that this script lives in. - thisdir=\`\$ECHO \"X\$file\" | \$Xsed -e 's%/[^/]*$%%'\` - test \"x\$thisdir\" = \"x\$file\" && thisdir=. - - # Follow symbolic links until we get to the real thisdir. - file=\`ls -ld \"\$file\" | ${SED} -n 's/.*-> //p'\` - while test -n \"\$file\"; do - destdir=\`\$ECHO \"X\$file\" | \$Xsed -e 's%/[^/]*\$%%'\` - - # If there was a directory component, then change thisdir. - if test \"x\$destdir\" != \"x\$file\"; then - case \"\$destdir\" in - [\\\\/]* | [A-Za-z]:[\\\\/]*) thisdir=\"\$destdir\" ;; - *) thisdir=\"\$thisdir/\$destdir\" ;; - esac - fi - - file=\`\$ECHO \"X\$file\" | \$Xsed -e 's%^.*/%%'\` - file=\`ls -ld \"\$thisdir/\$file\" | ${SED} -n 's/.*-> //p'\` - done -" -} -# end: func_emit_wrapper_part1 - -# func_emit_wrapper_part2 [arg=no] -# -# Emit the second part of a libtool wrapper script on stdout. -# For more information, see the description associated with -# func_emit_wrapper(), below. -func_emit_wrapper_part2 () -{ - func_emit_wrapper_part2_arg1=no - if test -n "$1" ; then - func_emit_wrapper_part2_arg1=$1 - fi - - $ECHO "\ - - # Usually 'no', except on cygwin/mingw when embedded into - # the cwrapper. - WRAPPER_SCRIPT_BELONGS_IN_OBJDIR=$func_emit_wrapper_part2_arg1 - if test \"\$WRAPPER_SCRIPT_BELONGS_IN_OBJDIR\" = \"yes\"; then - # special case for '.' - if test \"\$thisdir\" = \".\"; then - thisdir=\`pwd\` - fi - # remove .libs from thisdir - case \"\$thisdir\" in - *[\\\\/]$objdir ) thisdir=\`\$ECHO \"X\$thisdir\" | \$Xsed -e 's%[\\\\/][^\\\\/]*$%%'\` ;; - $objdir ) thisdir=. ;; - esac - fi - - # Try to get the absolute directory name. - absdir=\`cd \"\$thisdir\" && pwd\` - test -n \"\$absdir\" && thisdir=\"\$absdir\" -" - - if test "$fast_install" = yes; then - $ECHO "\ - program=lt-'$outputname'$exeext - progdir=\"\$thisdir/$objdir\" - - if test ! -f \"\$progdir/\$program\" || - { file=\`ls -1dt \"\$progdir/\$program\" \"\$progdir/../\$program\" 2>/dev/null | ${SED} 1q\`; \\ - test \"X\$file\" != \"X\$progdir/\$program\"; }; then - - file=\"\$\$-\$program\" - - if test ! -d \"\$progdir\"; then - $MKDIR \"\$progdir\" - else - $RM \"\$progdir/\$file\" - fi" - - $ECHO "\ - - # relink executable if necessary - if test -n \"\$relink_command\"; then - if relink_command_output=\`eval \$relink_command 2>&1\`; then : - else - $ECHO \"\$relink_command_output\" >&2 - $RM \"\$progdir/\$file\" - exit 1 - fi - fi - - $MV \"\$progdir/\$file\" \"\$progdir/\$program\" 2>/dev/null || - { $RM \"\$progdir/\$program\"; - $MV \"\$progdir/\$file\" \"\$progdir/\$program\"; } - $RM \"\$progdir/\$file\" - fi" - else - $ECHO "\ - program='$outputname' - progdir=\"\$thisdir/$objdir\" -" - fi - - $ECHO "\ - - if test -f \"\$progdir/\$program\"; then" - - # Export our shlibpath_var if we have one. - if test "$shlibpath_overrides_runpath" = yes && test -n "$shlibpath_var" && test -n "$temp_rpath"; then - $ECHO "\ - # Add our own library path to $shlibpath_var - $shlibpath_var=\"$temp_rpath\$$shlibpath_var\" - - # Some systems cannot cope with colon-terminated $shlibpath_var - # The second colon is a workaround for a bug in BeOS R4 sed - $shlibpath_var=\`\$ECHO \"X\$$shlibpath_var\" | \$Xsed -e 's/::*\$//'\` - - export $shlibpath_var -" - fi - - # fixup the dll searchpath if we need to. - if test -n "$dllsearchpath"; then - $ECHO "\ - # Add the dll search path components to the executable PATH - PATH=$dllsearchpath:\$PATH -" - fi - - $ECHO "\ - if test \"\$libtool_execute_magic\" != \"$magic\"; then - # Run the actual program with our arguments. -" - case $host in - # Backslashes separate directories on plain windows - *-*-mingw | *-*-os2* | *-cegcc*) - $ECHO "\ - exec \"\$progdir\\\\\$program\" \${1+\"\$@\"} -" - ;; - - *) - $ECHO "\ - exec \"\$progdir/\$program\" \${1+\"\$@\"} -" - ;; - esac - $ECHO "\ - \$ECHO \"\$0: cannot exec \$program \$*\" 1>&2 - exit 1 - fi - else - # The program doesn't exist. - \$ECHO \"\$0: error: \\\`\$progdir/\$program' does not exist\" 1>&2 - \$ECHO \"This script is just a wrapper for \$program.\" 1>&2 - $ECHO \"See the $PACKAGE documentation for more information.\" 1>&2 - exit 1 - fi -fi\ -" -} -# end: func_emit_wrapper_part2 - - -# func_emit_wrapper [arg=no] -# -# Emit a libtool wrapper script on stdout. -# Don't directly open a file because we may want to -# incorporate the script contents within a cygwin/mingw -# wrapper executable. Must ONLY be called from within -# func_mode_link because it depends on a number of variables -# set therein. -# -# ARG is the value that the WRAPPER_SCRIPT_BELONGS_IN_OBJDIR -# variable will take. If 'yes', then the emitted script -# will assume that the directory in which it is stored is -# the $objdir directory. This is a cygwin/mingw-specific -# behavior. -func_emit_wrapper () -{ - func_emit_wrapper_arg1=no - if test -n "$1" ; then - func_emit_wrapper_arg1=$1 - fi - - # split this up so that func_emit_cwrapperexe_src - # can call each part independently. - func_emit_wrapper_part1 "${func_emit_wrapper_arg1}" - func_emit_wrapper_part2 "${func_emit_wrapper_arg1}" -} - - -# func_to_host_path arg -# -# Convert paths to host format when used with build tools. -# Intended for use with "native" mingw (where libtool itself -# is running under the msys shell), or in the following cross- -# build environments: -# $build $host -# mingw (msys) mingw [e.g. native] -# cygwin mingw -# *nix + wine mingw -# where wine is equipped with the `winepath' executable. -# In the native mingw case, the (msys) shell automatically -# converts paths for any non-msys applications it launches, -# but that facility isn't available from inside the cwrapper. -# Similar accommodations are necessary for $host mingw and -# $build cygwin. Calling this function does no harm for other -# $host/$build combinations not listed above. -# -# ARG is the path (on $build) that should be converted to -# the proper representation for $host. The result is stored -# in $func_to_host_path_result. -func_to_host_path () -{ - func_to_host_path_result="$1" - if test -n "$1" ; then - case $host in - *mingw* ) - lt_sed_naive_backslashify='s|\\\\*|\\|g;s|/|\\|g;s|\\|\\\\|g' - case $build in - *mingw* ) # actually, msys - # awkward: cmd appends spaces to result - lt_sed_strip_trailing_spaces="s/[ ]*\$//" - func_to_host_path_tmp1=`( cmd //c echo "$1" |\ - $SED -e "$lt_sed_strip_trailing_spaces" ) 2>/dev/null || echo ""` - func_to_host_path_result=`echo "$func_to_host_path_tmp1" |\ - $SED -e "$lt_sed_naive_backslashify"` - ;; - *cygwin* ) - func_to_host_path_tmp1=`cygpath -w "$1"` - func_to_host_path_result=`echo "$func_to_host_path_tmp1" |\ - $SED -e "$lt_sed_naive_backslashify"` - ;; - * ) - # Unfortunately, winepath does not exit with a non-zero - # error code, so we are forced to check the contents of - # stdout. On the other hand, if the command is not - # found, the shell will set an exit code of 127 and print - # *an error message* to stdout. So we must check for both - # error code of zero AND non-empty stdout, which explains - # the odd construction: - func_to_host_path_tmp1=`winepath -w "$1" 2>/dev/null` - if test "$?" -eq 0 && test -n "${func_to_host_path_tmp1}"; then - func_to_host_path_result=`echo "$func_to_host_path_tmp1" |\ - $SED -e "$lt_sed_naive_backslashify"` - else - # Allow warning below. - func_to_host_path_result="" - fi - ;; - esac - if test -z "$func_to_host_path_result" ; then - func_error "Could not determine host path corresponding to" - func_error " '$1'" - func_error "Continuing, but uninstalled executables may not work." - # Fallback: - func_to_host_path_result="$1" - fi - ;; - esac - fi -} -# end: func_to_host_path - -# func_to_host_pathlist arg -# -# Convert pathlists to host format when used with build tools. -# See func_to_host_path(), above. This function supports the -# following $build/$host combinations (but does no harm for -# combinations not listed here): -# $build $host -# mingw (msys) mingw [e.g. native] -# cygwin mingw -# *nix + wine mingw -# -# Path separators are also converted from $build format to -# $host format. If ARG begins or ends with a path separator -# character, it is preserved (but converted to $host format) -# on output. -# -# ARG is a pathlist (on $build) that should be converted to -# the proper representation on $host. The result is stored -# in $func_to_host_pathlist_result. -func_to_host_pathlist () -{ - func_to_host_pathlist_result="$1" - if test -n "$1" ; then - case $host in - *mingw* ) - lt_sed_naive_backslashify='s|\\\\*|\\|g;s|/|\\|g;s|\\|\\\\|g' - # Remove leading and trailing path separator characters from - # ARG. msys behavior is inconsistent here, cygpath turns them - # into '.;' and ';.', and winepath ignores them completely. - func_to_host_pathlist_tmp2="$1" - # Once set for this call, this variable should not be - # reassigned. It is used in tha fallback case. - func_to_host_pathlist_tmp1=`echo "$func_to_host_pathlist_tmp2" |\ - $SED -e 's|^:*||' -e 's|:*$||'` - case $build in - *mingw* ) # Actually, msys. - # Awkward: cmd appends spaces to result. - lt_sed_strip_trailing_spaces="s/[ ]*\$//" - func_to_host_pathlist_tmp2=`( cmd //c echo "$func_to_host_pathlist_tmp1" |\ - $SED -e "$lt_sed_strip_trailing_spaces" ) 2>/dev/null || echo ""` - func_to_host_pathlist_result=`echo "$func_to_host_pathlist_tmp2" |\ - $SED -e "$lt_sed_naive_backslashify"` - ;; - *cygwin* ) - func_to_host_pathlist_tmp2=`cygpath -w -p "$func_to_host_pathlist_tmp1"` - func_to_host_pathlist_result=`echo "$func_to_host_pathlist_tmp2" |\ - $SED -e "$lt_sed_naive_backslashify"` - ;; - * ) - # unfortunately, winepath doesn't convert pathlists - func_to_host_pathlist_result="" - func_to_host_pathlist_oldIFS=$IFS - IFS=: - for func_to_host_pathlist_f in $func_to_host_pathlist_tmp1 ; do - IFS=$func_to_host_pathlist_oldIFS - if test -n "$func_to_host_pathlist_f" ; then - func_to_host_path "$func_to_host_pathlist_f" - if test -n "$func_to_host_path_result" ; then - if test -z "$func_to_host_pathlist_result" ; then - func_to_host_pathlist_result="$func_to_host_path_result" - else - func_to_host_pathlist_result="$func_to_host_pathlist_result;$func_to_host_path_result" - fi - fi - fi - IFS=: - done - IFS=$func_to_host_pathlist_oldIFS - ;; - esac - if test -z "$func_to_host_pathlist_result" ; then - func_error "Could not determine the host path(s) corresponding to" - func_error " '$1'" - func_error "Continuing, but uninstalled executables may not work." - # Fallback. This may break if $1 contains DOS-style drive - # specifications. The fix is not to complicate the expression - # below, but for the user to provide a working wine installation - # with winepath so that path translation in the cross-to-mingw - # case works properly. - lt_replace_pathsep_nix_to_dos="s|:|;|g" - func_to_host_pathlist_result=`echo "$func_to_host_pathlist_tmp1" |\ - $SED -e "$lt_replace_pathsep_nix_to_dos"` - fi - # Now, add the leading and trailing path separators back - case "$1" in - :* ) func_to_host_pathlist_result=";$func_to_host_pathlist_result" - ;; - esac - case "$1" in - *: ) func_to_host_pathlist_result="$func_to_host_pathlist_result;" - ;; - esac - ;; - esac - fi -} -# end: func_to_host_pathlist - -# func_emit_cwrapperexe_src -# emit the source code for a wrapper executable on stdout -# Must ONLY be called from within func_mode_link because -# it depends on a number of variable set therein. -func_emit_cwrapperexe_src () -{ - cat <<EOF - -/* $cwrappersource - temporary wrapper executable for $objdir/$outputname - Generated by $PROGRAM (GNU $PACKAGE$TIMESTAMP) $VERSION - - The $output program cannot be directly executed until all the libtool - libraries that it depends on are installed. - - This wrapper executable should never be moved out of the build directory. - If it is, it will not operate correctly. - - Currently, it simply execs the wrapper *script* "$SHELL $output", - but could eventually absorb all of the scripts functionality and - exec $objdir/$outputname directly. -*/ -EOF - cat <<"EOF" -#include <stdio.h> -#include <stdlib.h> -#ifdef _MSC_VER -# include <direct.h> -# include <process.h> -# include <io.h> -# define setmode _setmode -#else -# include <unistd.h> -# include <stdint.h> -# ifdef __CYGWIN__ -# include <io.h> -# define HAVE_SETENV -# ifdef __STRICT_ANSI__ -char *realpath (const char *, char *); -int putenv (char *); -int setenv (const char *, const char *, int); -# endif -# endif -#endif -#include <malloc.h> -#include <stdarg.h> -#include <assert.h> -#include <string.h> -#include <ctype.h> -#include <errno.h> -#include <fcntl.h> -#include <sys/stat.h> - -#if defined(PATH_MAX) -# define LT_PATHMAX PATH_MAX -#elif defined(MAXPATHLEN) -# define LT_PATHMAX MAXPATHLEN -#else -# define LT_PATHMAX 1024 -#endif - -#ifndef S_IXOTH -# define S_IXOTH 0 -#endif -#ifndef S_IXGRP -# define S_IXGRP 0 -#endif - -#ifdef _MSC_VER -# define S_IXUSR _S_IEXEC -# define stat _stat -# ifndef _INTPTR_T_DEFINED -# define intptr_t int -# endif -#endif - -#ifndef DIR_SEPARATOR -# define DIR_SEPARATOR '/' -# define PATH_SEPARATOR ':' -#endif - -#if defined (_WIN32) || defined (__MSDOS__) || defined (__DJGPP__) || \ - defined (__OS2__) -# define HAVE_DOS_BASED_FILE_SYSTEM -# define FOPEN_WB "wb" -# ifndef DIR_SEPARATOR_2 -# define DIR_SEPARATOR_2 '\\' -# endif -# ifndef PATH_SEPARATOR_2 -# define PATH_SEPARATOR_2 ';' -# endif -#endif - -#ifndef DIR_SEPARATOR_2 -# define IS_DIR_SEPARATOR(ch) ((ch) == DIR_SEPARATOR) -#else /* DIR_SEPARATOR_2 */ -# define IS_DIR_SEPARATOR(ch) \ - (((ch) == DIR_SEPARATOR) || ((ch) == DIR_SEPARATOR_2)) -#endif /* DIR_SEPARATOR_2 */ - -#ifndef PATH_SEPARATOR_2 -# define IS_PATH_SEPARATOR(ch) ((ch) == PATH_SEPARATOR) -#else /* PATH_SEPARATOR_2 */ -# define IS_PATH_SEPARATOR(ch) ((ch) == PATH_SEPARATOR_2) -#endif /* PATH_SEPARATOR_2 */ - -#ifdef __CYGWIN__ -# define FOPEN_WB "wb" -#endif - -#ifndef FOPEN_WB -# define FOPEN_WB "w" -#endif -#ifndef _O_BINARY -# define _O_BINARY 0 -#endif - -#define XMALLOC(type, num) ((type *) xmalloc ((num) * sizeof(type))) -#define XFREE(stale) do { \ - if (stale) { free ((void *) stale); stale = 0; } \ -} while (0) - -#undef LTWRAPPER_DEBUGPRINTF -#if defined DEBUGWRAPPER -# define LTWRAPPER_DEBUGPRINTF(args) ltwrapper_debugprintf args -static void -ltwrapper_debugprintf (const char *fmt, ...) -{ - va_list args; - va_start (args, fmt); - (void) vfprintf (stderr, fmt, args); - va_end (args); -} -#else -# define LTWRAPPER_DEBUGPRINTF(args) -#endif - -const char *program_name = NULL; - -void *xmalloc (size_t num); -char *xstrdup (const char *string); -const char *base_name (const char *name); -char *find_executable (const char *wrapper); -char *chase_symlinks (const char *pathspec); -int make_executable (const char *path); -int check_executable (const char *path); -char *strendzap (char *str, const char *pat); -void lt_fatal (const char *message, ...); -void lt_setenv (const char *name, const char *value); -char *lt_extend_str (const char *orig_value, const char *add, int to_end); -void lt_opt_process_env_set (const char *arg); -void lt_opt_process_env_prepend (const char *arg); -void lt_opt_process_env_append (const char *arg); -int lt_split_name_value (const char *arg, char** name, char** value); -void lt_update_exe_path (const char *name, const char *value); -void lt_update_lib_path (const char *name, const char *value); - -static const char *script_text_part1 = -EOF - - func_emit_wrapper_part1 yes | - $SED -e 's/\([\\"]\)/\\\1/g' \ - -e 's/^/ "/' -e 's/$/\\n"/' - echo ";" - cat <<EOF - -static const char *script_text_part2 = -EOF - func_emit_wrapper_part2 yes | - $SED -e 's/\([\\"]\)/\\\1/g' \ - -e 's/^/ "/' -e 's/$/\\n"/' - echo ";" - - cat <<EOF -const char * MAGIC_EXE = "$magic_exe"; -const char * LIB_PATH_VARNAME = "$shlibpath_var"; -EOF - - if test "$shlibpath_overrides_runpath" = yes && test -n "$shlibpath_var" && test -n "$temp_rpath"; then - func_to_host_pathlist "$temp_rpath" - cat <<EOF -const char * LIB_PATH_VALUE = "$func_to_host_pathlist_result"; -EOF - else - cat <<"EOF" -const char * LIB_PATH_VALUE = ""; -EOF - fi - - if test -n "$dllsearchpath"; then - func_to_host_pathlist "$dllsearchpath:" - cat <<EOF -const char * EXE_PATH_VARNAME = "PATH"; -const char * EXE_PATH_VALUE = "$func_to_host_pathlist_result"; -EOF - else - cat <<"EOF" -const char * EXE_PATH_VARNAME = ""; -const char * EXE_PATH_VALUE = ""; -EOF - fi - - if test "$fast_install" = yes; then - cat <<EOF -const char * TARGET_PROGRAM_NAME = "lt-$outputname"; /* hopefully, no .exe */ -EOF - else - cat <<EOF -const char * TARGET_PROGRAM_NAME = "$outputname"; /* hopefully, no .exe */ -EOF - fi - - - cat <<"EOF" - -#define LTWRAPPER_OPTION_PREFIX "--lt-" -#define LTWRAPPER_OPTION_PREFIX_LENGTH 5 - -static const size_t opt_prefix_len = LTWRAPPER_OPTION_PREFIX_LENGTH; -static const char *ltwrapper_option_prefix = LTWRAPPER_OPTION_PREFIX; - -static const char *dumpscript_opt = LTWRAPPER_OPTION_PREFIX "dump-script"; - -static const size_t env_set_opt_len = LTWRAPPER_OPTION_PREFIX_LENGTH + 7; -static const char *env_set_opt = LTWRAPPER_OPTION_PREFIX "env-set"; - /* argument is putenv-style "foo=bar", value of foo is set to bar */ - -static const size_t env_prepend_opt_len = LTWRAPPER_OPTION_PREFIX_LENGTH + 11; -static const char *env_prepend_opt = LTWRAPPER_OPTION_PREFIX "env-prepend"; - /* argument is putenv-style "foo=bar", new value of foo is bar${foo} */ - -static const size_t env_append_opt_len = LTWRAPPER_OPTION_PREFIX_LENGTH + 10; -static const char *env_append_opt = LTWRAPPER_OPTION_PREFIX "env-append"; - /* argument is putenv-style "foo=bar", new value of foo is ${foo}bar */ - -int -main (int argc, char *argv[]) -{ - char **newargz; - int newargc; - char *tmp_pathspec; - char *actual_cwrapper_path; - char *actual_cwrapper_name; - char *target_name; - char *lt_argv_zero; - intptr_t rval = 127; - - int i; - - program_name = (char *) xstrdup (base_name (argv[0])); - LTWRAPPER_DEBUGPRINTF (("(main) argv[0] : %s\n", argv[0])); - LTWRAPPER_DEBUGPRINTF (("(main) program_name : %s\n", program_name)); - - /* very simple arg parsing; don't want to rely on getopt */ - for (i = 1; i < argc; i++) - { - if (strcmp (argv[i], dumpscript_opt) == 0) - { -EOF - case "$host" in - *mingw* | *cygwin* ) - # make stdout use "unix" line endings - echo " setmode(1,_O_BINARY);" - ;; - esac - - cat <<"EOF" - printf ("%s", script_text_part1); - printf ("%s", script_text_part2); - return 0; - } - } - - newargz = XMALLOC (char *, argc + 1); - tmp_pathspec = find_executable (argv[0]); - if (tmp_pathspec == NULL) - lt_fatal ("Couldn't find %s", argv[0]); - LTWRAPPER_DEBUGPRINTF (("(main) found exe (before symlink chase) at : %s\n", - tmp_pathspec)); - - actual_cwrapper_path = chase_symlinks (tmp_pathspec); - LTWRAPPER_DEBUGPRINTF (("(main) found exe (after symlink chase) at : %s\n", - actual_cwrapper_path)); - XFREE (tmp_pathspec); - - actual_cwrapper_name = xstrdup( base_name (actual_cwrapper_path)); - strendzap (actual_cwrapper_path, actual_cwrapper_name); - - /* wrapper name transforms */ - strendzap (actual_cwrapper_name, ".exe"); - tmp_pathspec = lt_extend_str (actual_cwrapper_name, ".exe", 1); - XFREE (actual_cwrapper_name); - actual_cwrapper_name = tmp_pathspec; - tmp_pathspec = 0; - - /* target_name transforms -- use actual target program name; might have lt- prefix */ - target_name = xstrdup (base_name (TARGET_PROGRAM_NAME)); - strendzap (target_name, ".exe"); - tmp_pathspec = lt_extend_str (target_name, ".exe", 1); - XFREE (target_name); - target_name = tmp_pathspec; - tmp_pathspec = 0; - - LTWRAPPER_DEBUGPRINTF (("(main) libtool target name: %s\n", - target_name)); -EOF - - cat <<EOF - newargz[0] = - XMALLOC (char, (strlen (actual_cwrapper_path) + - strlen ("$objdir") + 1 + strlen (actual_cwrapper_name) + 1)); - strcpy (newargz[0], actual_cwrapper_path); - strcat (newargz[0], "$objdir"); - strcat (newargz[0], "/"); -EOF - - cat <<"EOF" - /* stop here, and copy so we don't have to do this twice */ - tmp_pathspec = xstrdup (newargz[0]); - - /* do NOT want the lt- prefix here, so use actual_cwrapper_name */ - strcat (newargz[0], actual_cwrapper_name); - - /* DO want the lt- prefix here if it exists, so use target_name */ - lt_argv_zero = lt_extend_str (tmp_pathspec, target_name, 1); - XFREE (tmp_pathspec); - tmp_pathspec = NULL; -EOF - - case $host_os in - mingw*) - cat <<"EOF" - { - char* p; - while ((p = strchr (newargz[0], '\\')) != NULL) - { - *p = '/'; - } - while ((p = strchr (lt_argv_zero, '\\')) != NULL) - { - *p = '/'; - } - } -EOF - ;; - esac - - cat <<"EOF" - XFREE (target_name); - XFREE (actual_cwrapper_path); - XFREE (actual_cwrapper_name); - - lt_setenv ("BIN_SH", "xpg4"); /* for Tru64 */ - lt_setenv ("DUALCASE", "1"); /* for MSK sh */ - lt_update_lib_path (LIB_PATH_VARNAME, LIB_PATH_VALUE); - lt_update_exe_path (EXE_PATH_VARNAME, EXE_PATH_VALUE); - - newargc=0; - for (i = 1; i < argc; i++) - { - if (strncmp (argv[i], env_set_opt, env_set_opt_len) == 0) - { - if (argv[i][env_set_opt_len] == '=') - { - const char *p = argv[i] + env_set_opt_len + 1; - lt_opt_process_env_set (p); - } - else if (argv[i][env_set_opt_len] == '\0' && i + 1 < argc) - { - lt_opt_process_env_set (argv[++i]); /* don't copy */ - } - else - lt_fatal ("%s missing required argument", env_set_opt); - continue; - } - if (strncmp (argv[i], env_prepend_opt, env_prepend_opt_len) == 0) - { - if (argv[i][env_prepend_opt_len] == '=') - { - const char *p = argv[i] + env_prepend_opt_len + 1; - lt_opt_process_env_prepend (p); - } - else if (argv[i][env_prepend_opt_len] == '\0' && i + 1 < argc) - { - lt_opt_process_env_prepend (argv[++i]); /* don't copy */ - } - else - lt_fatal ("%s missing required argument", env_prepend_opt); - continue; - } - if (strncmp (argv[i], env_append_opt, env_append_opt_len) == 0) - { - if (argv[i][env_append_opt_len] == '=') - { - const char *p = argv[i] + env_append_opt_len + 1; - lt_opt_process_env_append (p); - } - else if (argv[i][env_append_opt_len] == '\0' && i + 1 < argc) - { - lt_opt_process_env_append (argv[++i]); /* don't copy */ - } - else - lt_fatal ("%s missing required argument", env_append_opt); - continue; - } - if (strncmp (argv[i], ltwrapper_option_prefix, opt_prefix_len) == 0) - { - /* however, if there is an option in the LTWRAPPER_OPTION_PREFIX - namespace, but it is not one of the ones we know about and - have already dealt with, above (inluding dump-script), then - report an error. Otherwise, targets might begin to believe - they are allowed to use options in the LTWRAPPER_OPTION_PREFIX - namespace. The first time any user complains about this, we'll - need to make LTWRAPPER_OPTION_PREFIX a configure-time option - or a configure.ac-settable value. - */ - lt_fatal ("Unrecognized option in %s namespace: '%s'", - ltwrapper_option_prefix, argv[i]); - } - /* otherwise ... */ - newargz[++newargc] = xstrdup (argv[i]); - } - newargz[++newargc] = NULL; - - LTWRAPPER_DEBUGPRINTF (("(main) lt_argv_zero : %s\n", (lt_argv_zero ? lt_argv_zero : "<NULL>"))); - for (i = 0; i < newargc; i++) - { - LTWRAPPER_DEBUGPRINTF (("(main) newargz[%d] : %s\n", i, (newargz[i] ? newargz[i] : "<NULL>"))); - } - -EOF - - case $host_os in - mingw*) - cat <<"EOF" - /* execv doesn't actually work on mingw as expected on unix */ - rval = _spawnv (_P_WAIT, lt_argv_zero, (const char * const *) newargz); - if (rval == -1) - { - /* failed to start process */ - LTWRAPPER_DEBUGPRINTF (("(main) failed to launch target \"%s\": errno = %d\n", lt_argv_zero, errno)); - return 127; - } - return rval; -EOF - ;; - *) - cat <<"EOF" - execv (lt_argv_zero, newargz); - return rval; /* =127, but avoids unused variable warning */ -EOF - ;; - esac - - cat <<"EOF" -} - -void * -xmalloc (size_t num) -{ - void *p = (void *) malloc (num); - if (!p) - lt_fatal ("Memory exhausted"); - - return p; -} - -char * -xstrdup (const char *string) -{ - return string ? strcpy ((char *) xmalloc (strlen (string) + 1), - string) : NULL; -} - -const char * -base_name (const char *name) -{ - const char *base; - -#if defined (HAVE_DOS_BASED_FILE_SYSTEM) - /* Skip over the disk name in MSDOS pathnames. */ - if (isalpha ((unsigned char) name[0]) && name[1] == ':') - name += 2; -#endif - - for (base = name; *name; name++) - if (IS_DIR_SEPARATOR (*name)) - base = name + 1; - return base; -} - -int -check_executable (const char *path) -{ - struct stat st; - - LTWRAPPER_DEBUGPRINTF (("(check_executable) : %s\n", - path ? (*path ? path : "EMPTY!") : "NULL!")); - if ((!path) || (!*path)) - return 0; - - if ((stat (path, &st) >= 0) - && (st.st_mode & (S_IXUSR | S_IXGRP | S_IXOTH))) - return 1; - else - return 0; -} - -int -make_executable (const char *path) -{ - int rval = 0; - struct stat st; - - LTWRAPPER_DEBUGPRINTF (("(make_executable) : %s\n", - path ? (*path ? path : "EMPTY!") : "NULL!")); - if ((!path) || (!*path)) - return 0; - - if (stat (path, &st) >= 0) - { - rval = chmod (path, st.st_mode | S_IXOTH | S_IXGRP | S_IXUSR); - } - return rval; -} - -/* Searches for the full path of the wrapper. Returns - newly allocated full path name if found, NULL otherwise - Does not chase symlinks, even on platforms that support them. -*/ -char * -find_executable (const char *wrapper) -{ - int has_slash = 0; - const char *p; - const char *p_next; - /* static buffer for getcwd */ - char tmp[LT_PATHMAX + 1]; - int tmp_len; - char *concat_name; - - LTWRAPPER_DEBUGPRINTF (("(find_executable) : %s\n", - wrapper ? (*wrapper ? wrapper : "EMPTY!") : "NULL!")); - - if ((wrapper == NULL) || (*wrapper == '\0')) - return NULL; - - /* Absolute path? */ -#if defined (HAVE_DOS_BASED_FILE_SYSTEM) - if (isalpha ((unsigned char) wrapper[0]) && wrapper[1] == ':') - { - concat_name = xstrdup (wrapper); - if (check_executable (concat_name)) - return concat_name; - XFREE (concat_name); - } - else - { -#endif - if (IS_DIR_SEPARATOR (wrapper[0])) - { - concat_name = xstrdup (wrapper); - if (check_executable (concat_name)) - return concat_name; - XFREE (concat_name); - } -#if defined (HAVE_DOS_BASED_FILE_SYSTEM) - } -#endif - - for (p = wrapper; *p; p++) - if (*p == '/') - { - has_slash = 1; - break; - } - if (!has_slash) - { - /* no slashes; search PATH */ - const char *path = getenv ("PATH"); - if (path != NULL) - { - for (p = path; *p; p = p_next) - { - const char *q; - size_t p_len; - for (q = p; *q; q++) - if (IS_PATH_SEPARATOR (*q)) - break; - p_len = q - p; - p_next = (*q == '\0' ? q : q + 1); - if (p_len == 0) - { - /* empty path: current directory */ - if (getcwd (tmp, LT_PATHMAX) == NULL) - lt_fatal ("getcwd failed"); - tmp_len = strlen (tmp); - concat_name = - XMALLOC (char, tmp_len + 1 + strlen (wrapper) + 1); - memcpy (concat_name, tmp, tmp_len); - concat_name[tmp_len] = '/'; - strcpy (concat_name + tmp_len + 1, wrapper); - } - else - { - concat_name = - XMALLOC (char, p_len + 1 + strlen (wrapper) + 1); - memcpy (concat_name, p, p_len); - concat_name[p_len] = '/'; - strcpy (concat_name + p_len + 1, wrapper); - } - if (check_executable (concat_name)) - return concat_name; - XFREE (concat_name); - } - } - /* not found in PATH; assume curdir */ - } - /* Relative path | not found in path: prepend cwd */ - if (getcwd (tmp, LT_PATHMAX) == NULL) - lt_fatal ("getcwd failed"); - tmp_len = strlen (tmp); - concat_name = XMALLOC (char, tmp_len + 1 + strlen (wrapper) + 1); - memcpy (concat_name, tmp, tmp_len); - concat_name[tmp_len] = '/'; - strcpy (concat_name + tmp_len + 1, wrapper); - - if (check_executable (concat_name)) - return concat_name; - XFREE (concat_name); - return NULL; -} - -char * -chase_symlinks (const char *pathspec) -{ -#ifndef S_ISLNK - return xstrdup (pathspec); -#else - char buf[LT_PATHMAX]; - struct stat s; - char *tmp_pathspec = xstrdup (pathspec); - char *p; - int has_symlinks = 0; - while (strlen (tmp_pathspec) && !has_symlinks) - { - LTWRAPPER_DEBUGPRINTF (("checking path component for symlinks: %s\n", - tmp_pathspec)); - if (lstat (tmp_pathspec, &s) == 0) - { - if (S_ISLNK (s.st_mode) != 0) - { - has_symlinks = 1; - break; - } - - /* search backwards for last DIR_SEPARATOR */ - p = tmp_pathspec + strlen (tmp_pathspec) - 1; - while ((p > tmp_pathspec) && (!IS_DIR_SEPARATOR (*p))) - p--; - if ((p == tmp_pathspec) && (!IS_DIR_SEPARATOR (*p))) - { - /* no more DIR_SEPARATORS left */ - break; - } - *p = '\0'; - } - else - { - char *errstr = strerror (errno); - lt_fatal ("Error accessing file %s (%s)", tmp_pathspec, errstr); - } - } - XFREE (tmp_pathspec); - - if (!has_symlinks) - { - return xstrdup (pathspec); - } - - tmp_pathspec = realpath (pathspec, buf); - if (tmp_pathspec == 0) - { - lt_fatal ("Could not follow symlinks for %s", pathspec); - } - return xstrdup (tmp_pathspec); -#endif -} - -char * -strendzap (char *str, const char *pat) -{ - size_t len, patlen; - - assert (str != NULL); - assert (pat != NULL); - - len = strlen (str); - patlen = strlen (pat); - - if (patlen <= len) - { - str += len - patlen; - if (strcmp (str, pat) == 0) - *str = '\0'; - } - return str; -} - -static void -lt_error_core (int exit_status, const char *mode, - const char *message, va_list ap) -{ - fprintf (stderr, "%s: %s: ", program_name, mode); - vfprintf (stderr, message, ap); - fprintf (stderr, ".\n"); - - if (exit_status >= 0) - exit (exit_status); -} - -void -lt_fatal (const char *message, ...) -{ - va_list ap; - va_start (ap, message); - lt_error_core (EXIT_FAILURE, "FATAL", message, ap); - va_end (ap); -} - -void -lt_setenv (const char *name, const char *value) -{ - LTWRAPPER_DEBUGPRINTF (("(lt_setenv) setting '%s' to '%s'\n", - (name ? name : "<NULL>"), - (value ? value : "<NULL>"))); - { -#ifdef HAVE_SETENV - /* always make a copy, for consistency with !HAVE_SETENV */ - char *str = xstrdup (value); - setenv (name, str, 1); -#else - int len = strlen (name) + 1 + strlen (value) + 1; - char *str = XMALLOC (char, len); - sprintf (str, "%s=%s", name, value); - if (putenv (str) != EXIT_SUCCESS) - { - XFREE (str); - } -#endif - } -} - -char * -lt_extend_str (const char *orig_value, const char *add, int to_end) -{ - char *new_value; - if (orig_value && *orig_value) - { - int orig_value_len = strlen (orig_value); - int add_len = strlen (add); - new_value = XMALLOC (char, add_len + orig_value_len + 1); - if (to_end) - { - strcpy (new_value, orig_value); - strcpy (new_value + orig_value_len, add); - } - else - { - strcpy (new_value, add); - strcpy (new_value + add_len, orig_value); - } - } - else - { - new_value = xstrdup (add); - } - return new_value; -} - -int -lt_split_name_value (const char *arg, char** name, char** value) -{ - const char *p; - int len; - if (!arg || !*arg) - return 1; - - p = strchr (arg, (int)'='); - - if (!p) - return 1; - - *value = xstrdup (++p); - - len = strlen (arg) - strlen (*value); - *name = XMALLOC (char, len); - strncpy (*name, arg, len-1); - (*name)[len - 1] = '\0'; - - return 0; -} - -void -lt_opt_process_env_set (const char *arg) -{ - char *name = NULL; - char *value = NULL; - - if (lt_split_name_value (arg, &name, &value) != 0) - { - XFREE (name); - XFREE (value); - lt_fatal ("bad argument for %s: '%s'", env_set_opt, arg); - } - - lt_setenv (name, value); - XFREE (name); - XFREE (value); -} - -void -lt_opt_process_env_prepend (const char *arg) -{ - char *name = NULL; - char *value = NULL; - char *new_value = NULL; - - if (lt_split_name_value (arg, &name, &value) != 0) - { - XFREE (name); - XFREE (value); - lt_fatal ("bad argument for %s: '%s'", env_prepend_opt, arg); - } - - new_value = lt_extend_str (getenv (name), value, 0); - lt_setenv (name, new_value); - XFREE (new_value); - XFREE (name); - XFREE (value); -} - -void -lt_opt_process_env_append (const char *arg) -{ - char *name = NULL; - char *value = NULL; - char *new_value = NULL; - - if (lt_split_name_value (arg, &name, &value) != 0) - { - XFREE (name); - XFREE (value); - lt_fatal ("bad argument for %s: '%s'", env_append_opt, arg); - } - - new_value = lt_extend_str (getenv (name), value, 1); - lt_setenv (name, new_value); - XFREE (new_value); - XFREE (name); - XFREE (value); -} - -void -lt_update_exe_path (const char *name, const char *value) -{ - LTWRAPPER_DEBUGPRINTF (("(lt_update_exe_path) modifying '%s' by prepending '%s'\n", - (name ? name : "<NULL>"), - (value ? value : "<NULL>"))); - - if (name && *name && value && *value) - { - char *new_value = lt_extend_str (getenv (name), value, 0); - /* some systems can't cope with a ':'-terminated path #' */ - int len = strlen (new_value); - while (((len = strlen (new_value)) > 0) && IS_PATH_SEPARATOR (new_value[len-1])) - { - new_value[len-1] = '\0'; - } - lt_setenv (name, new_value); - XFREE (new_value); - } -} - -void -lt_update_lib_path (const char *name, const char *value) -{ - LTWRAPPER_DEBUGPRINTF (("(lt_update_lib_path) modifying '%s' by prepending '%s'\n", - (name ? name : "<NULL>"), - (value ? value : "<NULL>"))); - - if (name && *name && value && *value) - { - char *new_value = lt_extend_str (getenv (name), value, 0); - lt_setenv (name, new_value); - XFREE (new_value); - } -} - - -EOF -} -# end: func_emit_cwrapperexe_src - -# func_mode_link arg... -func_mode_link () -{ - $opt_debug - case $host in - *-*-cygwin* | *-*-mingw* | *-*-pw32* | *-*-os2* | *-cegcc*) - # It is impossible to link a dll without this setting, and - # we shouldn't force the makefile maintainer to figure out - # which system we are compiling for in order to pass an extra - # flag for every libtool invocation. - # allow_undefined=no - - # FIXME: Unfortunately, there are problems with the above when trying - # to make a dll which has undefined symbols, in which case not - # even a static library is built. 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- *) finalize_rpath="$finalize_rpath $libdir" - esac - ;; - esac - fi - - if test -n "$old_archive_from_expsyms_cmds"; then - # figure out the soname - set dummy $library_names - shift - realname="$1" - shift - libname=`eval "\\$ECHO \"$libname_spec\""` - # use dlname if we got it. it's perfectly good, no? - if test -n "$dlname"; then - soname="$dlname" - elif test -n "$soname_spec"; then - # bleh windows - case $host in - *cygwin* | mingw* | *cegcc*) - func_arith $current - $age - major=$func_arith_result - versuffix="-$major" - ;; - esac - eval soname=\"$soname_spec\" - else - soname="$realname" - fi - - # Make a new name for the extract_expsyms_cmds to use - soroot="$soname" - func_basename "$soroot" - soname="$func_basename_result" - func_stripname 'lib' '.dll' "$soname" - newlib=libimp-$func_stripname_result.a - - # If the library has no export list, then create one now - if test -f "$output_objdir/$soname-def"; then : - else - func_verbose "extracting exported symbol list from \`$soname'" - func_execute_cmds "$extract_expsyms_cmds" 'exit $?' - fi - - # Create $newlib - if test -f "$output_objdir/$newlib"; then :; else - func_verbose "generating import library for \`$soname'" - func_execute_cmds "$old_archive_from_expsyms_cmds" 'exit $?' - fi - # make sure the library variables are pointing to the new library - dir=$output_objdir - linklib=$newlib - fi # test -n "$old_archive_from_expsyms_cmds" - - if test "$linkmode" = prog || test "$mode" != relink; then - add_shlibpath= - add_dir= - add= - lib_linked=yes - case $hardcode_action in - immediate | unsupported) - if test "$hardcode_direct" = no; then - add="$dir/$linklib" - case $host in - *-*-sco3.2v5.0.[024]*) add_dir="-L$dir" ;; - *-*-sysv4*uw2*) add_dir="-L$dir" ;; - *-*-sysv5OpenUNIX* | *-*-sysv5UnixWare7.[01].[10]* | \ - *-*-unixware7*) add_dir="-L$dir" ;; - *-*-darwin* ) - # if the lib is a (non-dlopened) module then we can not - # link against it, someone is ignoring the earlier warnings - if /usr/bin/file -L $add 2> /dev/null | - $GREP ": [^:]* bundle" >/dev/null ; then - if test "X$dlopenmodule" != "X$lib"; then - $ECHO "*** Warning: lib $linklib is a module, not a shared library" - if test -z "$old_library" ; 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- *) lib_linked=no ;; - esac - - if test "$lib_linked" != yes; then - func_fatal_configuration "unsupported hardcode properties" - fi - - if test -n "$add_shlibpath"; then - case :$compile_shlibpath: in - *":$add_shlibpath:"*) ;; - *) compile_shlibpath="$compile_shlibpath$add_shlibpath:" ;; - esac - fi - if test "$linkmode" = prog; then - test -n "$add_dir" && compile_deplibs="$add_dir $compile_deplibs" - test -n "$add" && compile_deplibs="$add $compile_deplibs" - else - test -n "$add_dir" && deplibs="$add_dir $deplibs" - test -n "$add" && deplibs="$add $deplibs" - if test "$hardcode_direct" != yes && - test "$hardcode_minus_L" != yes && - test "$hardcode_shlibpath_var" = yes; then - case :$finalize_shlibpath: in - *":$libdir:"*) ;; - *) finalize_shlibpath="$finalize_shlibpath$libdir:" ;; - esac - fi - fi - fi - - if test "$linkmode" = prog || test "$mode" = relink; then - add_shlibpath= - add_dir= - add= - # Finalize command for both is simple: just hardcode it. - if test "$hardcode_direct" = yes && - test "$hardcode_direct_absolute" = no; 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then - # Here we assume that one of hardcode_direct or hardcode_minus_L - # is not unsupported. 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Last file checked: $potlib" - fi - fi - ;; - *) - # Add a -L argument. - newdeplibs="$newdeplibs $a_deplib" - ;; - esac - done # Gone through all deplibs. - ;; - none | unknown | *) - newdeplibs="" - tmp_deplibs=`$ECHO "X $deplibs" | $Xsed \ - -e 's/ -lc$//' -e 's/ -[LR][^ ]*//g'` - if test "X$allow_libtool_libs_with_static_runtimes" = "Xyes" ; then - for i in $predeps $postdeps ; do - # can't use Xsed below, because $i might contain '/' - tmp_deplibs=`$ECHO "X $tmp_deplibs" | $Xsed -e "s,$i,,"` - done - fi - if $ECHO "X $tmp_deplibs" | $Xsed -e 's/[ ]//g' | - $GREP . >/dev/null; then - $ECHO - if test "X$deplibs_check_method" = "Xnone"; then - $ECHO "*** Warning: inter-library dependencies are not supported in this platform." - else - $ECHO "*** Warning: inter-library dependencies are not known to be supported." - fi - $ECHO "*** All declared inter-library dependencies are being dropped." - droppeddeps=yes - fi - ;; - esac - versuffix=$versuffix_save - major=$major_save - release=$release_save - libname=$libname_save - name=$name_save - - case $host in - *-*-rhapsody* | *-*-darwin1.[012]) - # On Rhapsody replace the C library with the System framework - newdeplibs=`$ECHO "X $newdeplibs" | $Xsed -e 's/ -lc / System.ltframework /'` - ;; - esac - - if test "$droppeddeps" = yes; then - if test "$module" = yes; then - $ECHO - $ECHO "*** Warning: libtool could not satisfy all declared inter-library" - $ECHO "*** dependencies of module $libname. 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All subsequent reloadable object - # files will link in the last one created. - test -z "$concat_cmds" || concat_cmds=$concat_cmds~ - eval concat_cmds=\"\${concat_cmds}$reload_cmds $objlist $last_robj\" - if test -n "$last_robj"; then - eval concat_cmds=\"\${concat_cmds}~\$RM $last_robj\" - fi - delfiles="$delfiles $output" - - else - output= - fi - - if ${skipped_export-false}; then - func_verbose "generating symbol list for \`$libname.la'" - export_symbols="$output_objdir/$libname.exp" - $opt_dry_run || $RM $export_symbols - libobjs=$output - # Append the command to create the export file. - test -z "$concat_cmds" || concat_cmds=$concat_cmds~ - eval concat_cmds=\"\$concat_cmds$export_symbols_cmds\" - if test -n "$last_robj"; then - eval concat_cmds=\"\$concat_cmds~\$RM $last_robj\" - fi - fi - - test -n "$save_libobjs" && - func_verbose "creating a temporary reloadable object file: $output" - - # Loop through the commands generated above and execute them. - save_ifs="$IFS"; IFS='~' - for cmd in $concat_cmds; do - IFS="$save_ifs" - $opt_silent || { - func_quote_for_expand "$cmd" - eval "func_echo $func_quote_for_expand_result" - } - $opt_dry_run || eval "$cmd" || { - lt_exit=$? - - # Restore the uninstalled library and exit - if test "$mode" = relink; then - ( cd "$output_objdir" && \ - $RM "${realname}T" && \ - $MV "${realname}U" "$realname" ) - fi - - exit $lt_exit - } - done - IFS="$save_ifs" - - if test -n "$export_symbols_regex" && ${skipped_export-false}; then - func_show_eval '$EGREP -e "$export_symbols_regex" "$export_symbols" > "${export_symbols}T"' - func_show_eval '$MV "${export_symbols}T" "$export_symbols"' - fi - fi - - if ${skipped_export-false}; then - if test -n "$export_symbols" && test -n "$include_expsyms"; then - tmp_export_symbols="$export_symbols" - test -n "$orig_export_symbols" && tmp_export_symbols="$orig_export_symbols" - $opt_dry_run || eval '$ECHO "X$include_expsyms" | $Xsed | $SP2NL >> "$tmp_export_symbols"' - fi - - if test -n "$orig_export_symbols"; then - # The given exports_symbols file has to be filtered, so filter it. - func_verbose "filter symbol list for \`$libname.la' to tag DATA exports" - # FIXME: $output_objdir/$libname.filter potentially contains lots of - # 's' commands which not all seds can handle. GNU sed should be fine - # though. Also, the filter scales superlinearly with the number of - # global variables. join(1) would be nice here, but unfortunately - # isn't a blessed tool. - $opt_dry_run || $SED -e '/[ ,]DATA/!d;s,\(.*\)\([ \,].*\),s|^\1$|\1\2|,' < $export_symbols > $output_objdir/$libname.filter - delfiles="$delfiles $export_symbols $output_objdir/$libname.filter" - export_symbols=$output_objdir/$libname.def - $opt_dry_run || $SED -f $output_objdir/$libname.filter < $orig_export_symbols > $export_symbols - fi - fi - - libobjs=$output - # Restore the value of output. - output=$save_output - - if test -n "$convenience" && test -n "$whole_archive_flag_spec"; then - eval libobjs=\"\$libobjs $whole_archive_flag_spec\" - test "X$libobjs" = "X " && libobjs= - fi - # Expand the library linking commands again to reset the - # value of $libobjs for piecewise linking. - - # Do each of the archive commands. - if test "$module" = yes && test -n "$module_cmds" ; then - if test -n "$export_symbols" && test -n "$module_expsym_cmds"; then - cmds=$module_expsym_cmds - else - cmds=$module_cmds - fi - else - if test -n "$export_symbols" && test -n "$archive_expsym_cmds"; then - cmds=$archive_expsym_cmds - else - cmds=$archive_cmds - fi - fi - fi - - if test -n "$delfiles"; then - # Append the command to remove temporary files to $cmds. - eval cmds=\"\$cmds~\$RM $delfiles\" - fi - - # Add any objects from preloaded convenience libraries - if test -n "$dlprefiles"; then - gentop="$output_objdir/${outputname}x" - generated="$generated $gentop" - - func_extract_archives $gentop $dlprefiles - libobjs="$libobjs $func_extract_archives_result" - test "X$libobjs" = "X " && libobjs= - fi - - save_ifs="$IFS"; IFS='~' - for cmd in $cmds; do - IFS="$save_ifs" - eval cmd=\"$cmd\" - $opt_silent || { - func_quote_for_expand "$cmd" - eval "func_echo $func_quote_for_expand_result" - } - $opt_dry_run || eval "$cmd" || { - lt_exit=$? - - # Restore the uninstalled library and exit - if test "$mode" = relink; then - ( cd "$output_objdir" && \ - $RM "${realname}T" && \ - $MV "${realname}U" "$realname" ) - fi - - exit $lt_exit - } - done - IFS="$save_ifs" - - # Restore the uninstalled library and exit - if test "$mode" = relink; then - $opt_dry_run || eval '(cd $output_objdir && $RM ${realname}T && $MV $realname ${realname}T && $MV ${realname}U $realname)' || exit $? - - if test -n "$convenience"; then - if test -z "$whole_archive_flag_spec"; then - func_show_eval '${RM}r "$gentop"' - fi - fi - - exit $EXIT_SUCCESS - fi - - # Create links to the real library. - for linkname in $linknames; do - if test "$realname" != "$linkname"; then - func_show_eval '(cd "$output_objdir" && $RM "$linkname" && $LN_S "$realname" "$linkname")' 'exit $?' - fi - done - - # If -module or -export-dynamic was specified, set the dlname. - if test "$module" = yes || test "$export_dynamic" = yes; then - # On all known operating systems, these are identical. - dlname="$soname" - fi - fi - ;; - - obj) - if test -n "$dlfiles$dlprefiles" || test "$dlself" != no; then - func_warning "\`-dlopen' is ignored for objects" - fi - - case " $deplibs" in - *\ -l* | *\ -L*) - func_warning "\`-l' and \`-L' are ignored for objects" ;; - esac - - test -n "$rpath" && \ - func_warning "\`-rpath' is ignored for objects" - - test -n "$xrpath" && \ - func_warning "\`-R' is ignored for objects" - - test -n "$vinfo" && \ - func_warning "\`-version-info' is ignored for objects" - - test -n "$release" && \ - func_warning "\`-release' is ignored for objects" - - case $output in - *.lo) - test -n "$objs$old_deplibs" && \ - func_fatal_error "cannot build library object \`$output' from non-libtool objects" - - libobj=$output - func_lo2o "$libobj" - obj=$func_lo2o_result - ;; - *) - libobj= - obj="$output" - ;; - esac - - # Delete the old objects. - $opt_dry_run || $RM $obj $libobj - - # Objects from convenience libraries. This assumes - # single-version convenience libraries. 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do - if test -n "$hardcode_libdir_flag_spec"; then - if test -n "$hardcode_libdir_separator"; then - if test -z "$hardcode_libdirs"; then - hardcode_libdirs="$libdir" - else - # Just accumulate the unique libdirs. - case $hardcode_libdir_separator$hardcode_libdirs$hardcode_libdir_separator in - *"$hardcode_libdir_separator$libdir$hardcode_libdir_separator"*) - ;; - *) - hardcode_libdirs="$hardcode_libdirs$hardcode_libdir_separator$libdir" - ;; - esac - fi - else - eval flag=\"$hardcode_libdir_flag_spec\" - rpath="$rpath $flag" - fi - elif test -n "$runpath_var"; then - case "$perm_rpath " in - *" $libdir "*) ;; - *) perm_rpath="$perm_rpath $libdir" ;; - esac - fi - case $host in - *-*-cygwin* | *-*-mingw* | *-*-pw32* | *-*-os2* | *-cegcc*) - testbindir=`${ECHO} "$libdir" | ${SED} -e 's*/lib$*/bin*'` - case :$dllsearchpath: in - *":$libdir:"*) ;; - ::) dllsearchpath=$libdir;; - *) dllsearchpath="$dllsearchpath:$libdir";; - esac - case :$dllsearchpath: in - *":$testbindir:"*) ;; - ::) dllsearchpath=$testbindir;; 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- *) - if test "$need_relink" = no || test "$build_libtool_libs" != yes; then - wrappers_required=no - fi - ;; - esac - if test "$wrappers_required" = no; then - # Replace the output file specification. - compile_command=`$ECHO "X$compile_command" | $Xsed -e 's%@OUTPUT@%'"$output"'%g'` - link_command="$compile_command$compile_rpath" - - # We have no uninstalled library dependencies, so finalize right now. - exit_status=0 - func_show_eval "$link_command" 'exit_status=$?' - - # Delete the generated files. - if test -f "$output_objdir/${outputname}S.${objext}"; then - func_show_eval '$RM "$output_objdir/${outputname}S.${objext}"' - fi - - exit $exit_status - fi - - if test -n "$compile_shlibpath$finalize_shlibpath"; then - compile_command="$shlibpath_var=\"$compile_shlibpath$finalize_shlibpath\$$shlibpath_var\" $compile_command" - fi - if test -n "$finalize_shlibpath"; then - finalize_command="$shlibpath_var=\"$finalize_shlibpath\$$shlibpath_var\" $finalize_command" - fi - - compile_var= - finalize_var= - if test -n "$runpath_var"; then - if test -n "$perm_rpath"; then - # We should set the runpath_var. - rpath= - for dir in $perm_rpath; do - rpath="$rpath$dir:" - done - compile_var="$runpath_var=\"$rpath\$$runpath_var\" " - fi - if test -n "$finalize_perm_rpath"; then - # We should set the runpath_var. - rpath= - for dir in $finalize_perm_rpath; do - rpath="$rpath$dir:" - done - finalize_var="$runpath_var=\"$rpath\$$runpath_var\" " - fi - fi - - if test "$no_install" = yes; then - # We don't need to create a wrapper script. - link_command="$compile_var$compile_command$compile_rpath" - # Replace the output file specification. - link_command=`$ECHO "X$link_command" | $Xsed -e 's%@OUTPUT@%'"$output"'%g'` - # Delete the old output file. - $opt_dry_run || $RM $output - # Link the executable and exit - func_show_eval "$link_command" 'exit $?' - exit $EXIT_SUCCESS - fi - - if test "$hardcode_action" = relink; then - # Fast installation is not supported - link_command="$compile_var$compile_command$compile_rpath" - relink_command="$finalize_var$finalize_command$finalize_rpath" - - func_warning "this platform does not like uninstalled shared libraries" - func_warning "\`$output' will be relinked during installation" - else - if test "$fast_install" != no; then - link_command="$finalize_var$compile_command$finalize_rpath" - if test "$fast_install" = yes; then - relink_command=`$ECHO "X$compile_var$compile_command$compile_rpath" | $Xsed -e 's%@OUTPUT@%\$progdir/\$file%g'` - else - # fast_install is set to needless - relink_command= - fi - else - link_command="$compile_var$compile_command$compile_rpath" - relink_command="$finalize_var$finalize_command$finalize_rpath" - fi - fi - - # Replace the output file specification. - link_command=`$ECHO "X$link_command" | $Xsed -e 's%@OUTPUT@%'"$output_objdir/$outputname"'%g'` - - # Delete the old output files. - $opt_dry_run || $RM $output $output_objdir/$outputname $output_objdir/lt-$outputname - - func_show_eval "$link_command" 'exit $?' - - # Now create the wrapper script. - func_verbose "creating $output" - - # Quote the relink command for shipping. - if test -n "$relink_command"; then - # Preserve any variables that may affect compiler behavior - for var in $variables_saved_for_relink; do - if eval test -z \"\${$var+set}\"; 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Grab either from any GNU archive site." - # The file to touch is that specified with -o ... - file=`echo "$*" | sed -n "$sed_output"` - test -z "$file" && file=`echo "$*" | sed -n "$sed_minuso"` - if test -z "$file"; then - # ... or it is the one specified with @setfilename ... - infile=`echo "$*" | sed 's/.* \([^ ]*\) *$/\1/'` - file=`sed -n ' - /^@setfilename/{ - s/.* \([^ ]*\) *$/\1/ - p - q - }' $infile` - # ... or it is derived from the source name (dir/f.texi becomes f.info) - test -z "$file" && file=`echo "$infile" | sed 's,.*/,,;s,.[^.]*$,,'`.info - fi - # If the file does not exist, the user really needs makeinfo; - # let's fail without touching anything. - test -f $file || exit 1 - touch $file - ;; - - tar) - shift - - # We have already tried tar in the generic part. - # Look for gnutar/gtar before invocation to avoid ugly error - # messages. - if (gnutar --version > /dev/null 2>&1); then - gnutar "$@" && exit 0 - fi - if (gtar --version > /dev/null 2>&1); then - gtar "$@" && exit 0 - fi - firstarg="$1" - if shift; then - case $firstarg in - *o*) - firstarg=`echo "$firstarg" | sed s/o//` - tar "$firstarg" "$@" && exit 0 - ;; - esac - case $firstarg in - *h*) - firstarg=`echo "$firstarg" | sed s/h//` - tar "$firstarg" "$@" && exit 0 - ;; - esac - fi - - echo 1>&2 "\ -WARNING: I can't seem to be able to run \`tar' with the given arguments. - You may want to install GNU tar or Free paxutils, or check the - command line arguments." - exit 1 - ;; - - *) - echo 1>&2 "\ -WARNING: \`$1' is needed, and is $msg. - You might have modified some files without having the - proper tools for further handling them. Check the \`README' file, - it often tells you about the needed prerequisites for installing - this package. You may also peek at any GNU archive site, in case - some other package would contain this missing \`$1' program." - exit 1 - ;; -esac - -exit 0 - -# Local variables: -# eval: (add-hook 'write-file-hooks 'time-stamp) -# time-stamp-start: "scriptversion=" -# time-stamp-format: "%:y-%02m-%02d.%02H" -# time-stamp-end: "$" -# End: diff --git a/mgizapp/scripts/force-align-moses.sh b/mgizapp/scripts/force-align-moses.sh deleted file mode 100755 index fd4cf12..0000000 --- a/mgizapp/scripts/force-align-moses.sh +++ /dev/null @@ -1,48 +0,0 @@ -#!/usr/bin/env bash - -MGIZA=${QMT_HOME}/bin/mgiza - -if [ $# -lt 4 ]; then - echo "OK, this is simple, put me into your Moses training directory, link your source/target corpus" 1>&2 - echo "and run " $0 " PREFIX src_tag tgt_tag root-dir." 1>&2 - echo "and get force-aligned data: root-dir/giza.[src-tgt|tgt-src]/*.A3.final.* " 1>&2 - echo "make sure I can find PREFIX.src_tag-tgt_tag and PREFIX.tgt_tag-src_tag, and \${QMT_HOME} is set" 1>&2 - exit -fi - -PRE=$1 -SRC=$2 -TGT=$3 -ROOT=$4 - -mkdir -p $ROOT/giza.${SRC}-${TGT} -mkdir -p $ROOT/giza.${TGT}-${SRC} -mkdir -p $ROOT/corpus - -echo "Generating corpus file " 1>&2 - -${QMT_HOME}/scripts/plain2snt-hasvcb.py corpus/$SRC.vcb corpus/$TGT.vcb ${PRE}.${SRC} ${PRE}.${TGT} $ROOT/corpus/${TGT}-${SRC}.snt $ROOT/corpus/${SRC}-${TGT}.snt $ROOT/corpus/$SRC.vcb $ROOT/corpus/$TGT.vcb - -ln -sf $PWD/corpus/$SRC.vcb.classes $PWD/corpus/$TGT.vcb.classes $ROOT/corpus/ - -echo "Generating co-occurrence file " 1>&2 - -${QMT_HOME}/bin/snt2cooc $ROOT/giza.${TGT}-${SRC}/$TGT-${SRC}.cooc $ROOT/corpus/$SRC.vcb $ROOT/corpus/$TGT.vcb $ROOT/corpus/${TGT}-${SRC}.snt -${QMT_HOME}/bin//snt2cooc $ROOT/giza.${SRC}-${TGT}/$SRC-${TGT}.cooc $ROOT/corpus/$TGT.vcb $ROOT/corpus/$SRC.vcb $ROOT/corpus/${SRC}-${TGT}.snt - -echo "Running force alignment " 1>&2 - -$MGIZA giza.$TGT-$SRC/$TGT-$SRC.gizacfg -c $ROOT/corpus/$TGT-$SRC.snt -o $ROOT/giza.${TGT}-${SRC}/$TGT-${SRC} \ --s $ROOT/corpus/$SRC.vcb -t $ROOT/corpus/$TGT.vcb -m1 0 -m2 0 -mh 0 -coocurrence $ROOT/giza.${TGT}-${SRC}/$TGT-${SRC}.cooc \ --restart 11 -previoust giza.$TGT-$SRC/$TGT-$SRC.t3.final \ --previousa giza.$TGT-$SRC/$TGT-$SRC.a3.final -previousd giza.$TGT-$SRC/$TGT-$SRC.d3.final \ --previousn giza.$TGT-$SRC/$TGT-$SRC.n3.final -previousd4 giza.$TGT-$SRC/$TGT-$SRC.d4.final \ --previousd42 giza.$TGT-$SRC/$TGT-$SRC.D4.final -m3 0 -m4 1 - -$MGIZA giza.$SRC-$TGT/$SRC-$TGT.gizacfg -c $ROOT/corpus/$SRC-$TGT.snt -o $ROOT/giza.${SRC}-${TGT}/$SRC-${TGT} \ --s $ROOT/corpus/$TGT.vcb -t $ROOT/corpus/$SRC.vcb -m1 0 -m2 0 -mh 0 -coocurrence $ROOT/giza.${SRC}-${TGT}/$SRC-${TGT}.cooc \ --restart 11 -previoust giza.$SRC-$TGT/$SRC-$TGT.t3.final \ --previousa giza.$SRC-$TGT/$SRC-$TGT.a3.final -previousd giza.$SRC-$TGT/$SRC-$TGT.d3.final \ --previousn giza.$SRC-$TGT/$SRC-$TGT.n3.final -previousd4 giza.$SRC-$TGT/$SRC-$TGT.d4.final \ --previousd42 giza.$SRC-$TGT/$SRC-$TGT.D4.final -m3 0 -m4 1 - diff --git a/mgizapp/scripts/giza2bal.pl b/mgizapp/scripts/giza2bal.pl deleted file mode 100755 index fb134c0..0000000 --- a/mgizapp/scripts/giza2bal.pl +++ /dev/null @@ -1,112 +0,0 @@ -#! /usr/bin/perl - -# $Id: giza2bal.pl 1562 2008-02-19 20:48:14Z redpony $ -#Converts direct and inverted alignments into a more compact -#bi-alignment format. It optionally reads the counting file -#produced by giza containing the frequency of each traning sentence. - -#Copyright Marcello Federico, November 2004 - -($cnt,$dir,$inv)=(); - -while ($w=shift @ARGV){ - $dir=shift(@ARGV),next if $w eq "-d"; - $inv=shift(@ARGV),next if $w eq "-i"; - $cnt=shift(@ARGV),next if $w eq "-c"; -} - -my $lc = 0; - -if (!$dir || !inv){ - print "usage: giza2bal.pl [-c <count-file>] -d <dir-align-file> -i <inv-align-file>\n"; - print "input files can be also commands, e.g. -d \"gunzip -c file.gz\"\n"; - exit(0); -} - -$|=1; - -open(DIR,"<$dir") || open(DIR,"$dir|") || die "cannot open $dir\n"; -open(INV,"<$inv") || open(INV,"$inv|") || die "cannot open $dir\n"; - -if ($cnt){ -open(CNT,"<$cnt") || open(CNT,"$cnt|") || die "cannot open $dir\n"; -} - - -sub ReadBiAlign{ - local($fd0,$fd1,$fd2,*s1,*s2,*a,*b,*c)=@_; - local($dummy,$n); - - chop($c=<$fd0>); ## count - $dummy=<$fd0>; ## header - $dummy=<$fd0>; ## header - $c=1 if !$c; - - $dummy=<$fd1>; ## header - chop($s1=<$fd1>); - chop($t1=<$fd1>); - - $dummy=<$fd2>; ## header - chop($s2=<$fd2>); - chop($t2=<$fd2>); - - @a=@b=(); - $lc++; - - #get target statistics - $n=1; - $t1=~s/NULL \(\{((\s+\d+)*)\s+\}\)//; - while ($t1=~s/(\S+)\s+\(\{((\s+\d+)*)\s+\}\)//){ - grep($a[$_]=$n,split(/\s+/,$2)); - $n++; - } - - $m=1; - $t2=~s/NULL \(\{((\s+\d+)*)\s+\}\)//; - while ($t2=~s/(\S+)\s+\(\{((\s+\d+)*)\s+\}\)//){ - grep($b[$_]=$m,split(/\s+/,$2)); - $m++; - } - - $M=split(/\s+/,$s1); - $N=split(/\s+/,$s2); - - if ($m != ($M+1) || $n != ($N+1)) { - print STDERR "Sentence mismatch error! Line #$lc\n"; - $s1 = "ALIGN_ERR"; - $s2 = "ALIGN_ERR"; - @a=(); @b=(); - for ($j=1;$j<2;$j++){ $a[$j]=1; } - for ($i=1;$i<2;$i++){ $b[$i]=1; } - return 1; - } - - for ($j=1;$j<$m;$j++){ - $a[$j]=0 if !$a[$j]; - } - - for ($i=1;$i<$n;$i++){ - $b[$i]=0 if !$b[$i]; - } - - - return 1; -} - -$skip=0; -$ccc=0; -while(!eof(DIR)){ - - if (ReadBiAlign(CNT,DIR,INV,*src,*tgt,*a,*b,*c)) - { - $ccc++; - print "$c\n"; - print $#a," $src \# @a[1..$#a]\n"; - print $#b," $tgt \# @b[1..$#b]\n"; - } - else{ - print "\n"; - print STDERR "." if !(++$skip % 1000); - } -}; -print STDERR "skip=<$skip> counts=<$ccc>\n"; diff --git a/mgizapp/scripts/merge_alignment.py b/mgizapp/scripts/merge_alignment.py deleted file mode 100755 index 626bc68..0000000 --- a/mgizapp/scripts/merge_alignment.py +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env python -# Author : Qin Gao -# Date : Dec 31, 2007 -# Purpose: Combine multiple alignment files into a single one, the files are -# prodcuced by MGIZA, which has sentence IDs, and every file is -# ordered inside - -import sys -import re - -if len(sys.argv)<2: - sys.stderr.write("Provide me the file names (at least 2)\n"); - sys.exit(); - -sent_id = 0; - -files = []; -ids = []; - -sents = []; -done = []; - -for i in range(1,len(sys.argv)): - files.append(open(sys.argv[i],"r")); - ids.append(0); - sents.append(""); - done.append(False); - -r = re.compile("\\((\\d+)\\)"); -i = 0; -while i< len(files): - st1 = files[i].readline(); - st2 = files[i].readline(); - st3 = files[i].readline(); - if len(st1)==0 or len(st2)==0 or len(st3)==0: - done[i] = True; - else: - mt = r.search(st1); - id = int(mt.group(1)); - ids[i] = id; - sents[i] = (st1, st2, st3); - i += 1 - -cont = True; -while (cont): - sent_id += 1; - writeOne = False; -# Now try to read more sentences - i = 0; - cont = False; - while i < len(files): - if done[i]: - i+=1 - continue; - cont = True; - if ids[i] == sent_id: - sys.stdout.write("%s%s%s"%(sents[i][0],sents[i][1],sents[i][2])); - writeOne = True; - st1 = files[i].readline(); - st2 = files[i].readline(); - st3 = files[i].readline(); - if len(st1)==0 or len(st2)==0 or len(st3)==0: - done[i] = True; - else: - mt = r.search(st1); - id = int(mt.group(1)); - ids[i] = id; - sents[i] = (st1, st2, st3); - cont = True; - break; - elif ids[i] < sent_id: - sys.stderr.write("ERROR! DUPLICATED ENTRY %d\n" % ids[i]); - sys.exit(); - else: - cont = True; - i+=1; - if (not writeOne) and cont: - sys.stderr.write("ERROR! MISSING ENTRy %d\n" % sent_id); - #sys.exit(); -sys.stderr.write("Combined %d files, totally %d sents \n" %(len(files),sent_id-1)); diff --git a/mgizapp/scripts/plain2snt-hasvcb.py b/mgizapp/scripts/plain2snt-hasvcb.py deleted file mode 100755 index 490c493..0000000 --- a/mgizapp/scripts/plain2snt-hasvcb.py +++ /dev/null @@ -1,93 +0,0 @@ -#!/usr/bin/env python - -from sys import * - -def loadvcb(fname,out): - dict={}; - df = open(fname,"r"); - for line in df: - out.write(line); - ws = line.strip().split(); - id = int(ws[0]); - wd = ws[1]; - dict[wd]=id; - return dict; - -if len(argv)<9: - stderr.write("Error, the input should be \n"); - stderr.write("%s evcb fvcb etxt ftxt esnt(out) fsnt(out) evcbx(out) fvcbx(out)\n" % argv[0]); - stderr.write("You should concatenate the evcbx and fvcbx to existing vcb files\n"); - exit(); - -ein = open(argv[3],"r"); -fin = open(argv[4],"r"); - -eout = open(argv[5],"w"); -fout = open(argv[6],"w"); - -evcbx = open(argv[7],"w"); -fvcbx = open(argv[8],"w"); -evcb = loadvcb(argv[1],evcbx); -fvcb = loadvcb(argv[2],fvcbx); - -i=0 -while True: - i+=1; - eline=ein.readline(); - fline=fin.readline(); - if len(eline)==0 or len(fline)==0: - break; - ewords = eline.strip().split(); - fwords = fline.strip().split(); - el = []; - fl = []; - j=0; - for w in ewords: - j+=1 - if evcb.has_key(w): - el.append(evcb[w]); - else: - if evcb.has_key(w.lower()): - el.append(evcb[w.lower()]); - else: - ##stdout.write("#E %d %d %s\n" % (i,j,w)) - #el.append(1); - nid = len(evcb)+1; - evcb[w.lower()] = nid; - evcbx.write("%d %s 1\n" % (nid, w)); - el.append(nid); - - j=0; - for w in fwords: - j+=1 - if fvcb.has_key(w): - fl.append(fvcb[w]); - else: - if fvcb.has_key(w.lower()): - fl.append(fvcb[w.lower()]); - else: - #stdout.write("#F %d %d %s\n" % (i,j,w)) - nid = len(fvcb)+1; - fvcb[w.lower()] = nid; - fvcbx.write("%d %s 1\n" % (nid, w)); - fl.append(nid); - #fl.append(1); - eout.write("1\n"); - fout.write("1\n"); - for I in el: - eout.write("%d " % I); - eout.write("\n"); - for I in fl: - eout.write("%d " % I); - fout.write("%d " % I); - eout.write("\n"); - fout.write("\n"); - for I in el: - fout.write("%d " % I); - fout.write("\n"); - -fout.close(); -eout.close(); -fvcbx.close(); -evcbx.close(); - diff --git a/mgizapp/scripts/sntpostproc.py b/mgizapp/scripts/sntpostproc.py deleted file mode 100755 index b3bf528..0000000 --- a/mgizapp/scripts/sntpostproc.py +++ /dev/null @@ -1,116 +0,0 @@ -#!/usr/bin/env python - -# This script post process the snt file -- either in single-line format or in multi-line format -# The output, however, will always be in single-line format - -from sys import * -from optparse import OptionParser -import re; -usage = """ -The script post process the snt file, the input could be single-line snt -file or multi-line, (triple line) and can insert sentence weight to the -file (-w) or add partial alignment to the file (-a) -Usage %prog -s sntfile -w weight-file -a alignfile -o outputfile -""" -parser = OptionParser(usage=usage) - - -parser = OptionParser() - -parser.add_option("-s", "--snt", dest="snt",default=None, - help="The input snt file", metavar="FILE") - -parser.add_option("-w", "--weight", dest="weight",default=None, - help="The input weight file", metavar="FILE") - - -parser.add_option("-o", "--output", dest="output",default="-", - help="The input partial alignment file, one sentence per line", metavar="FILE") - -parser.add_option("-a", "--align", dest="align",default=None, - help="The input partial alignment file, one sentence per line", metavar="FILE") - - -(options, args) = parser.parse_args() - -if options.snt == None: - parser.print_help(); - exit(); -else: - sfile = open(options.snt,"r"); - -if options.output=="-": - ofile = stdout; -else: - ofile = open(options.output,"w"); - -wfile = None; - -if options.weight <> None: - wfile = open(options.weight,"r"); - -afile = None; -if options.align <> None: - afile = open(options.align,"r"); - -rr = re.compile("[\\|\\#\\*]"); -wt = 0.0; -al = {}; -e = ""; -f = ""; - -def parse_ax(line): - alq = {}; - als = line.strip().split(" "); - for e in als: - if len(e.strip())>0: - alo = e.split("-"); - if len(alo)==2: - alq[tuple(alo)] = 1; - return alq; - - - - - - -while True: - l = sfile.readline(); - if len(l) == 0: - break; - lp = rr.split(l.strip()); - if len(lp)>=3: - wt = float(lp[0]); - e = lp[1]; - f = lp[2]; - if len(lp) > 3: - al = parse_ax(lp[3]); - else: - al = {}; - else: - wt = float(l); - e = sfile.readline().strip(); - f = sfile.readline().strip(); - al={} - if wfile <> None: - lw = wfile.readline().strip(); - if len(lw)>0: - wt = float(lw); - else: - wt = 1; - if afile <> None: - la = afile.readline().strip(); - if len(la)>0: - al1 = parse_ax(la); - for entry in al1.keys(): - al[entry] = 1; - - ofile.write("%g | %s | %s" % (wt, e, f)); - if len(al)>0: - ofile.write(" |"); - - for entry in al.keys(): - ofile.write(" %s-%s" % entry); - ofile.write("\n"); - - diff --git a/mgizapp/src/.cvsignore b/mgizapp/src/.cvsignore deleted file mode 100644 index 6c5271f..0000000 --- a/mgizapp/src/.cvsignore +++ /dev/null @@ -1,17 +0,0 @@ -.libs -.deps -.*swp -.nautilus-metafile.xml -*.autosave -*.bak -*~ -#*# -*.gladep -*.la -*.lo -*.o -*.class -*.pyc -*.plugin -Makefile -Makefile.in diff --git a/mgizapp/src/ATables.cpp b/mgizapp/src/ATables.cpp deleted file mode 100644 index 8cc4ad2..0000000 --- a/mgizapp/src/ATables.cpp +++ /dev/null @@ -1,212 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "ATables.h" -#include "Globals.h" -#include "myassert.h" -#include "Parameter.h" - -GLOBAL_PARAMETER(bool,CompactADTable,"compactadtable","1: only 3-dimensional alignment table for IBM-2 and IBM-3",PARLEV_MODELS,1); -GLOBAL_PARAMETER(float,amodel_smooth_factor,"model23SmoothFactor","smoothing parameter for IBM-2/3 (interpolation with constant)",PARLEV_SMOOTH,0.0); - -template <class VALTYPE> -void amodel<VALTYPE>::printTable(const char *filename) const{ - // print amodel to file with the name filename (it'll be created or overwritten - // format : for a table : - // aj j l m val - // where aj is source word pos, j target word pos, l source sentence length, - // m is target sentence length. - // - //return; - if (is_distortion) - cout << "Dumping pruned distortion table (d) to file:" << filename <<'\n'; - else - cout << "Dumping pruned alignment table (a) to file:" << filename <<'\n'; - - ofstream of(filename); - double ssum=0.0; - for(WordIndex l=0; l < MaxSentLength; l++){ - for(WordIndex m=0;m<MaxSentLength;m++){ - if( CompactADTable && l!=m ) - continue; - unsigned int L=((CompactADTable&&is_distortion)?MaxSentLength:(l+1))-1; - unsigned int M=((CompactADTable&&!is_distortion)?MaxSentLength:(m+1))-1; - if( is_distortion==0 ){ - for(WordIndex j=1;j<=M; j++){ - double sum=0.0; - for(WordIndex i=0;i<=L; i++){ - VALTYPE x=getValue(i, j, L, M); - if( x>PROB_SMOOTH ){ - of << i << ' ' << j << ' ' << L << ' ' << M << ' ' << x << '\n'; - sum+=x; - } - } - ssum+=sum; - } - }else{ - for(WordIndex i=0;i<=L;i++){ - double sum=0.0; - for(WordIndex j=1;j<=M;j++){ - VALTYPE x=getValue(j, i, L, M); - if( x>PROB_SMOOTH ){ - of << j << ' ' << i << ' ' << L << ' ' << M << ' ' << x << '\n'; - sum+=x; - } - } - ssum+=sum; - } - } - } - } -} - -template <class VALTYPE> -void amodel<VALTYPE>::printRealTable(const char *filename) const{ - // print amodel to file with the name filename (it'll be created or overwritten - // format : for a table : - // aj j l m val - // where aj is source word pos, j target word pos, l source sentence length, - // m is target sentence length. - // - //return; - if (is_distortion) - cout << "Dumping not pruned distortion table (d) to file:" << filename <<'\n'; - else - cout << "Dumping not pruned alignment table (a) to file:" << filename <<'\n'; - - ofstream of(filename); - for(WordIndex l=0; l < MaxSentLength; l++){ - for(WordIndex m=0;m<MaxSentLength;m++){ - if( CompactADTable && l!=m ) - continue; - unsigned int L=((CompactADTable&&is_distortion)?MaxSentLength:(l+1))-1; - unsigned int M=((CompactADTable&&!is_distortion)?MaxSentLength:(m+1))-1; - if( is_distortion==0 ){ - for(WordIndex j=1;j<=M; j++){ - for(WordIndex i=0;i<=L; i++){ - VALTYPE x=getValue(i, j, L, M); - if( x>MINCOUNTINCREASE ) - of << i << ' ' << j << ' ' << L << ' ' << M << ' ' << x << '\n'; - } - } - }else{ - for(WordIndex i=0;i<=L;i++){ - for(WordIndex j=1;j<=M;j++){ - VALTYPE x=getValue(j, i, L, M); - if( x>MINCOUNTINCREASE ) - of << j << ' ' << i << ' ' << L << ' ' << M << ' ' << x << '\n'; - } - } - } - } - } -} - -extern short NoEmptyWord; - -template <class VALTYPE> -bool amodel<VALTYPE>::readTable(const char *filename){ - /* This function reads the a table from a file. - Each line is of the format: aj j l m val - where aj is the source word position, j the target word position, - l the source sentence length, and m the target sentence length - - This function also works for a d table, where the positions - of aj and i are swapped. Both the a and d tables are 4 dimensional - hashes; this function will simply read in the four values and keep - them in that order when hashing the fifth value. - NAS, 7/11/99 - */ - ifstream inf(filename); - cout << "Reading a/d table from " << filename << "\n"; - if(!inf){ - cerr << "\nERROR: Cannot open " << filename<<"\n"; - return false; - } - WordIndex w, x, l, m; - VALTYPE prob; - while(inf >> w >> x >> l >> m >> prob ) - // the NULL word is added to the length - // of the sentence in the tables, but discount it when you write the tables. - setValue(w, x, l, m, prob); - return true; -} - -template <class VALTYPE> -bool amodel<VALTYPE>::readAugTable(const char *filename){ - /* This function reads the a table from a file. - Each line is of the format: aj j l m val - where aj is the source word position, j the target word position, - l the source sentence length, and m the target sentence length - - This function also works for a d table, where the positions - of aj and i are swapped. Both the a and d tables are 4 dimensional - hashes; this function will simply read in the four values and keep - them in that order when hashing the fifth value. - NAS, 7/11/99 - */ - ifstream inf(filename); - cout << "Reading a/d table from " << filename << "\n"; - if(!inf){ - cerr << "\nERROR: Cannot open " << filename<<"\n"; - return false; - } - WordIndex w, x, l, m; - VALTYPE prob; - while(inf >> w >> x >> l >> m >> prob ) - // the NULL word is added to the length - // of the sentence in the tables, but discount it when you write the tables. - addValue(w, x, l, m, prob); - return true; -} - -template <class VALTYPE> -bool amodel<VALTYPE>::merge(amodel<VALTYPE>& am){ - cout << "start merging " <<"\n"; - for(WordIndex l=0; l < MaxSentLength; l++){ - for(WordIndex m=0;m<MaxSentLength;m++){ - if( CompactADTable && l!=m ) - continue; - unsigned int L=((CompactADTable&&is_distortion)?MaxSentLength:(l+1))-1; - unsigned int M=((CompactADTable&&!is_distortion)?MaxSentLength:(m+1))-1; - if( is_distortion==0 ){ - for(WordIndex j=1;j<=M; j++){ - for(WordIndex i=0;i<=L; i++){ - VALTYPE x=am.getValue(i, j, L, M); - addValue(i,j,L,M,x); - } - } - }else{ - for(WordIndex i=0;i<=L;i++){ - for(WordIndex j=1;j<=M;j++){ - VALTYPE x=am.getValue(j, i, L, M); - addValue(j,i,L,M,x); - } - } - } - } - } - return true; -} - - -template class amodel<COUNT> ; -//template class amodel<PROB> ; diff --git a/mgizapp/src/ATables.h b/mgizapp/src/ATables.h deleted file mode 100644 index 83518b4..0000000 --- a/mgizapp/src/ATables.h +++ /dev/null @@ -1,191 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* --------------------------------------------------------------------------* - * * - * Module :ATables * - * * - * Prototypes File: ATables.h * - * * - * Objective: Defines clases and methods for handling I/O for distortion & * - * alignment tables. * - *****************************************************************************/ - -#ifndef _atables_h -#define _atables_h 1 - -#include "defs.h" -#include <cassert> -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -#include "Vector.h" -#include <utility> -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include <fstream> -#include "Array4.h" -#include "myassert.h" -#include "Globals.h" -#include "syncObj.h" - -extern bool CompactADTable; -extern float amodel_smooth_factor; -extern short NoEmptyWord; - -/* ------------------- Class Defintions of amodel ---------------------------*/ -/* Class Name: amodel: - Objective: This defines the underlying data structure for distortiont prob. - and count tables. They are defined as a hash table. Each entry in the hash - table is the probability (d(j/l,m,i), where j is word target position, i is - source word position connected to it, m is target sentence length, and l is - source sentence length) or count collected for it. The probability and the - count are represented as log integer probability as - defined by the class LogProb . - - This class is used to represents a Tables (probabiliity) and d (distortion) - tables and also their corresponding count tables . - - *--------------------------------------------------------------------------*/ - -inline int Mabs(int a){ - if(a<0) - return -a; - else - return a; -} - -template <class VALTYPE> -class amodel{ -public: - Array4<VALTYPE> a; - bool is_distortion ; - WordIndex MaxSentLength; - bool ignoreL, ignoreM; - VALTYPE get(WordIndex aj, WordIndex j, WordIndex l, WordIndex m)const{ - massert( (!is_distortion) || aj<=m );massert( (!is_distortion) || j<=l );massert( (!is_distortion) || aj!=0 ); - massert( is_distortion || aj<=l );massert( is_distortion || j<=m );massert( (is_distortion) || j!=0 ); - massert( l<MaxSentLength );massert( m<MaxSentLength ); - return a.get(aj, j, (CompactADTable&&is_distortion)?MaxSentLength:(l+1),(CompactADTable&&!is_distortion)?MaxSentLength:(m+1)); - } - - static float smooth_factor; - amodel(bool flag = false) - : a(MAX_SENTENCE_LENGTH+1,0.0), is_distortion(flag), MaxSentLength(MAX_SENTENCE_LENGTH) - {}; - -protected: - VALTYPE&getRef(WordIndex aj, WordIndex j, WordIndex l, WordIndex m){ - massert( (!is_distortion) || aj<=m );massert( (!is_distortion) || j<=l ); - massert( is_distortion || aj<=l );massert( is_distortion || j<=m );massert( (is_distortion) || j!=0 ); - massert( l<MaxSentLength );massert( m<MaxSentLength ); - return a(aj, j, (CompactADTable&&is_distortion)?MaxSentLength:(l+1),(CompactADTable&&!is_distortion)?MaxSentLength:(m+1)); - } -public: - void setValue(WordIndex aj, WordIndex j, WordIndex l, WordIndex m, VALTYPE val) { - lock.lock(); - getRef(aj, j, l, m)=val; - lock.unlock(); - } - - Mutex lock; -public: - /** - By Qin - */ - void addValue(WordIndex aj, WordIndex j, WordIndex l, WordIndex m, VALTYPE val) { - lock.lock(); - getRef(aj, j, l, m)+=val; - lock.unlock(); - } - bool merge(amodel<VALTYPE>& am); - VALTYPE getValue(WordIndex aj, WordIndex j, WordIndex l, WordIndex m) const{ - if( is_distortion==0 ) - return max(double(PROB_SMOOTH),amodel_smooth_factor/(l+1)+(1.0-amodel_smooth_factor)*get(aj, j, l, m)); - else - return max(double(PROB_SMOOTH),amodel_smooth_factor/m+(1.0-amodel_smooth_factor)*get(aj, j, l, m)); - } - - void printTable(const char* filename)const ; - void printRealTable(const char* filename)const ; - template<class COUNT> - void normalize(amodel<COUNT>& aTable)const - { - WordIndex i, j, l, m ; - COUNT total; - int nParam=0; - for(l=0;l<MaxSentLength;l++){ - for(m=0;m<MaxSentLength;m++){ - if( CompactADTable && l!=m ) - continue; - unsigned int L=((CompactADTable&&is_distortion)?MaxSentLength:(l+1))-1; - unsigned int M=((CompactADTable&&!is_distortion)?MaxSentLength:(m+1))-1; - if( is_distortion==0 ){ - for(j=1;j<=M; j++){ - total=0.0; - for(i=0;i<=L;i++){ - total+=get(i, j, L, M); - } - if( total ){ - for(i=0;i<=L;i++){ - nParam++; - aTable.getRef(i, j, L, M)=get(i, j, L, M)/total; - massert(aTable.getRef(i,j,L,M)<=1.0); - if( NoEmptyWord&&i==0 ) - aTable.getRef(i,j,L,M)=0; - } - } - } - }else{ - for(i=0;i<=L;i++){ - total=0.0; - for(j=1;j<=M;j++) - total+=get(j, i, L, M); - if( total ) - for(j=1;j<=M;j++){ - aTable.getRef(j, i, L, M)=amodel_smooth_factor/M+(1.0-amodel_smooth_factor)*get(j, i, L, M)/total; - nParam++; - massert(aTable.getRef(j,i,L,M)<=1.0); - if( NoEmptyWord&&i==0 ) - aTable.getRef(j,i,L,M)=0; - } - } - } - } - } - cout << "A/D table contains " << nParam << " parameters.\n"; - } - - bool readTable(const char *filename); - bool readAugTable(const char *filename); - void clear() - {a.clear();} -}; - -/* ------------------- End of amodel Class Definitions ----------------------*/ - -#endif diff --git a/mgizapp/src/AlignTables.cpp b/mgizapp/src/AlignTables.cpp deleted file mode 100644 index de75107..0000000 --- a/mgizapp/src/AlignTables.cpp +++ /dev/null @@ -1,44 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "AlignTables.h" - -bool alignmodel::insert(Vector<WordIndex>& aj, LogProb val) -{ - hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >::iterator i; - i = a.find(aj); - if(i != a.end() || val <= 0) - return false ; - a.insert(pair<const Vector<WordIndex>, LogProb>(aj, val)); - return true ; -} - - -LogProb alignmodel::getValue(Vector<WordIndex>& align) const -{ - const LogProb zero = 0.0 ; - hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >::const_iterator i; - i = a.find(align); - if(i == a.end()) - return zero; - else - return (*i).second; -} diff --git a/mgizapp/src/AlignTables.h b/mgizapp/src/AlignTables.h deleted file mode 100644 index 773b172..0000000 --- a/mgizapp/src/AlignTables.h +++ /dev/null @@ -1,124 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _aligntables_h -#define _aligntables_h 1 - -#include "defs.h" - - -#include <cassert> - -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -//#include <vector> -#include "Vector.h" -#include <utility> -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include <math.h> -#include <fstream> -#include "transpair_model1.h" - - -/* ----------------- Class Defintions for hashmyalignment -------------------- - Objective: This class is used to define a hash mapping function to map - an alignment (defined as a vector of integers) into a hash key - ----------------------------------------------------------------------------*/ - -class hashmyalignment : public unary_function< Vector<WordIndex>, size_t > -{ -public: - size_t operator() (const Vector<WordIndex>& key) const - // to define the mapping function. it takes an alignment (a vector of - // integers) and it returns an integer value (hash key). - { - WordIndex j ; - size_t s ; - size_t key_sum = 0 ; - // logmsg << "For alignment:" ; - for (j = 1 ; j < key.size() ; j++){ - // logmsg << " " << key[j] ; - key_sum += (size_t) (int) pow(double(key[j]), double((j % 6)+1)); - } - // logmsg << " , Key value was : " << key_sum; - s = key_sum % 1000000 ; - // logmsg << " h(k) = " << s << endl ; - return(s); - } -}; - -class equal_to_myalignment{ - // returns true if two alignments are the same (two vectors have same enties) -public: - bool operator()(const Vector<WordIndex> t1, - const Vector<WordIndex> t2) const - {WordIndex j ; - if (t1.size() != t2.size()) - return(false); - for (j = 1 ; j < t1.size() ; j++) - if (t1[j] != t2[j]) - return(false); - return(true); - } - -}; - -/* ---------------- End of Class Defnition for hashmyalignment --------------*/ - - -/* ------------------ Class Defintions for alignmodel ----------------------- - Class Name: alignmodel - Objective: Alignments neighborhhoods (collection of alignments) are stored in - a hash table (for easy lookup). Each alignment vector is mapped into a hash - key using the operator defined above. - *--------------------------------------------------------------------------*/ - -class alignmodel{ -private: - hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment > a; -private: - // void erase(Vector<WordIndex>&); -public: - - // methods; - - inline hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >::iterator begin(void){return a.begin();} // begining of hash - inline hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >::iterator end(void){return a.end();} // end of hash - inline const hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >& getHash() const {return a;}; // reference to hash table - bool insert(Vector<WordIndex>&, LogProb val=0.0); // add a alignmnet - // void setValue(Vector<WordIndex>&, LogProb val); // not needed - LogProb getValue(Vector<WordIndex>&)const; // retrieve prob. of alignment - inline void clear(void){ a.clear();}; // clear hash table - // void printTable(const char* filename); - inline void resize(WordIndex n) {a.resize(n);}; // resize table - -}; - -/* -------------- End of alignmode Class Definitions ------------------------*/ -#endif diff --git a/mgizapp/src/Array.h b/mgizapp/src/Array.h deleted file mode 100644 index eae58d4..0000000 --- a/mgizapp/src/Array.h +++ /dev/null @@ -1,5 +0,0 @@ -#ifndef GIZA_ARRAY_H_DEFINED -#define GIZA_ARRAY_H_DEFINED -#include "Vector.h" -#define Array Vector -#endif diff --git a/mgizapp/src/Array2.h b/mgizapp/src/Array2.h deleted file mode 100644 index 8ea2d9e..0000000 --- a/mgizapp/src/Array2.h +++ /dev/null @@ -1,126 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -/*-- - Array2: Implementation of a twodimensional checked array allowing for - a specified underlieing one-dimensional data-structure. - - Franz Josef Och (30/07/99) - --*/ -#ifndef CLASS_Array2_DEFINED -#define CLASS_Array2_DEFINED - -#include "mystl.h" -#include <string> -#include <vector> - -template<class T, class Y=vector<T> > class Array2 { -public: - Y p; - // short h1, h2; - unsigned int h1, h2; -public: - Array2(unsigned int _h1, unsigned int _h2) : - p(_h1*_h2), h1(_h1), h2(_h2) { - } - Array2(unsigned int _h1, unsigned int _h2, const T&_init) : - p(_h1*_h2, _init), h1(_h1), h2(_h2) { - } - Array2() : - h1(0), h2(0) { - } - inline T &operator()(unsigned int i, unsigned int j) { - assert(i<h1); - assert(j<h2); - return p[i*h2+j]; - } - inline const T&operator()(unsigned int i, unsigned int j) const { - assert(i<h1); - assert(j<h2); - return p[i*h2+j]; - } - inline T get(unsigned int i, unsigned int j) { - assert(i<h1); - assert(j<h2); - return p[i*h2+j]; - } - inline void set(unsigned int i, unsigned int j, T x) { - assert(i<h1); - assert(j<h2); - p[i*h2+j]=x; - } - inline const T get(unsigned int i, unsigned int j) const { - assert(i<h1); - assert(j<h2); - return p[i*h2+j]; - } - inline unsigned int getLen1() const { - return h1; - } - inline unsigned int getLen2() const { - return h2; - } - - inline T*begin() { - if (h1==0||h2==0) - return 0; - return &(p[0]); - } - inline T*end() { - if (h1==0||h2==0) - return 0; - return &(p[0])+p.size(); - } - - inline const T*begin() const { - return p.begin(); - } - inline const T*end() const { - return p.end(); - } - - friend ostream&operator<<(ostream&out, const Array2<T, Y>&ar) { - for (unsigned int i=0; i<ar.getLen1(); i++) { - //out << i << ": "; - for (unsigned int j=0; j<ar.getLen2(); j++) - out << ar(i, j) << ' '; - out << '\n'; - } - return out << endl; - } - inline void resize(unsigned int a, unsigned int b) { - if ( !(a==h1&&b==h2)) { - h1=a; - h2=b; - p.resize(h1*h2); - } - } - inline void resize(unsigned int a, unsigned int b, const T&t) { - if ( !(a==h1&&b==h2)) { - h1=a; - h2=b; - p.resize(h1*h2); - fill(p.begin(), p.end(), t); - } - } -}; - -#endif diff --git a/mgizapp/src/Array4.h b/mgizapp/src/Array4.h deleted file mode 100644 index 4e57a2e..0000000 --- a/mgizapp/src/Array4.h +++ /dev/null @@ -1,78 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef AlignmentArray4_h_DEFINED -#define AlignmentArray4_h_DEFINED - -#include "Array2.h" -template<class T> class Array4 -{ - private: - Array2< Array2<T>* > A; - int M; - T init; - public: - Array4(int m,const T&_init) - : A(m,m,0),M(m),init(_init) {} - ~Array4() - { - for(int l=0;l<M;++l) - for(int m=0;m<M;++m) - delete A(l,m); - } - const T&operator()(int i, int j, int l, int m)const - { - if( A(l,m)==0 ) - return init; - else - return (*A(l,m))(i,j); - } - const T&get(int i, int j, int l, int m)const - { - if( A(l,m)==0 ) - return init; - else - return (*A(l,m))(i,j); - } - T&operator()(int i, int j, int l, int m) - { - if( A(l,m)==0 ) - { - A(l,m)=new Array2<T>(max(l+1,m+1),max(l+1,m+1),init); - } - return (*A(l,m))(i,j); - } - void clear() - { - for(int l=0;l<M;++l) - for(int m=0;m<M;++m) - if( A(l,m) ) - { - Array2<T>&a=*A(l,m); - for(int i=0;i<=l;++i) - for(int j=0;j<=m;++j) - a(i,j)=0.0; - } - } -}; - -#endif diff --git a/mgizapp/src/D4Tables.h b/mgizapp/src/D4Tables.h deleted file mode 100644 index 9ec3a02..0000000 --- a/mgizapp/src/D4Tables.h +++ /dev/null @@ -1,772 +0,0 @@ -/* - - Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - - This file is part of GIZA++ ( extension of GIZA ). - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#ifndef _d4tables_h_define -#define _d4tables_h_define -#include <math.h> -#include "WordClasses.h" -#include "Globals.h" -#include "myassert.h" -#include "syncObj.h" -extern float d4modelsmooth_factor; - -class m4_key { -public: - int deps; - int l; - int m; - int F; - int E; - int prevj; - int vacancies1, vacancies2; - m4_key(int _deps, int _l, int _m, int _F, int _E, int _prevj, int _v1, - int _v2) : - deps(_deps), l(_l), m(_m), F(_F), E(_E), prevj(_prevj), - vacancies1(_v1), vacancies2(_v2) { - } - friend ostream&print1(ostream&out, const m4_key&x, const WordClasses&wce, - const WordClasses&wcf) { - if (x.deps&DEP_MODEL_l) - out << "l: " << x.l<<' '; - if (x.deps&DEP_MODEL_m) - out << "m: " << x.m<<' '; - if (x.deps&DEP_MODEL_F) - out << "F: " << wcf.classString(x.F)<< ' '; - if (x.deps&DEP_MODEL_E) - out << "E: " << wce.classString(x.E)<< ' '; - // if(x.deps&DEP_MODEL_pj)out << "j-1: " << x.prevj<<' '; - if (x.vacancies1!=-1) - out << "v1: " << x.vacancies1 << ' '; - if (x.vacancies2!=-1) - out << "v2: " << x.vacancies2 << ' '; - return out << '\n'; - } - - friend ostream&print1_m5(ostream&out, const m4_key&x, - const WordClasses&wce, const WordClasses&wcf) { - out << ((x.deps&DEP_MODEL_E) ? wce.classString(x.E) : string("0")) - << ' '; - out << ((x.deps&DEP_MODEL_F) ? wcf.classString(x.F) : string("0")) - << ' '; - out << x.vacancies1 << ' '; - out << x.vacancies2 << ' '; - return out; - } - - friend ostream&printb1(ostream&out, const m4_key&x, const WordClasses&wce, - const WordClasses&wcf) { - if (x.deps&DEP_MODELb_l) - out << "l: " << x.l<<' '; - if (x.deps&DEP_MODELb_m) - out << "m: " << x.m<<' '; - if (x.deps&DEP_MODELb_F) - out << "F: " << wcf.classString(x.F) << ' '; - if (x.deps&DEP_MODELb_E) - out << "E: " << wce.classString(x.E) << ' '; - if (x.vacancies1!=-1) - out << "v1: " << x.vacancies1 << ' '; - if (x.vacancies2!=-1) - out << "v2: " << x.vacancies2 << ' '; - return out << '\n'; - } - friend ostream&printb1_m5(ostream&out, const m4_key&x, - const WordClasses&wcf) { - out << "-1 " << ((x.deps&DEP_MODEL_F) ? wcf.classString(x.F) - : string("0"))<< ' '; - out << x.vacancies1 << ' '; - out << x.vacancies2 << ' '; - return out; - } -}; - -class compare1 { -private: - int deps; -public: - compare1(int _deps) : - deps(_deps) { - } - bool operator()(const m4_key&a, const m4_key&b) const { - if (deps&DEP_MODEL_l) { - if (a.l<b.l) - return 1; - if (b.l<a.l) - return 0; - } - if (deps&DEP_MODEL_m) { - if (a.m<b.m) - return 1; - if (b.m<a.m) - return 0; - } - if (deps&DEP_MODEL_F) { - if (a.F<b.F) - return 1; - if (b.F<a.F) - return 0; - } - if (deps&DEP_MODEL_E) { - if (a.E<b.E) - return 1; - if (b.E<a.E) - return 0; - } - //if(deps&DEP_MODEL_pj){if( a.prevj<b.prevj )return 1;if( b.prevj<a.prevj )return 0;} - if (a.vacancies1<b.vacancies1) - return 1; - if (b.vacancies1<a.vacancies1) - return 0; - if (a.vacancies2<b.vacancies2) - return 1; - if (b.vacancies2<a.vacancies2) - return 0; - return 0; - } -}; - -class compareb1 { -private: - int deps; -public: - compareb1(int _deps) : - deps(_deps) { - } - bool operator()(const m4_key&a, const m4_key&b) const { - if (deps&DEP_MODELb_l) { - if (a.l<b.l) - return 1; - if (b.l<a.l) - return 0; - } - if (deps&DEP_MODELb_m) { - if (a.m<b.m) - return 1; - if (b.m<a.m) - return 0; - } - if (deps&DEP_MODELb_F) { - if (a.F<b.F) - return 1; - if (b.F<a.F) - return 0; - } - if (deps&DEP_MODELb_E) { - if (a.E<b.E) - return 1; - if (b.E<a.E) - return 0; - } - //if(deps&DEP_MODELb_pj){if( a.prevJ<b.prevJ )return 1;if( b.prevJ<a.prevJ )return 0;} - if (a.vacancies1<b.vacancies1) - return 1; - if (b.vacancies1<a.vacancies1) - return 0; - if (a.vacancies2<b.vacancies2) - return 1; - if (b.vacancies2<a.vacancies2) - return 0; - return 0; - } -}; - -inline void tokenize(const string&in, Vector<string>&out) { - string s; - istrstream l(in.c_str()); - while (l>>s) - out.push_back(s); -} - -class d4model { -public: - typedef Vector<pair<COUNT,PROB> > Vpff; - map<m4_key,Vpff,compare1 > D1; - map<m4_key,Vpff,compareb1> Db1; - PositionIndex msl; - WordClasses* ewordclasses; - WordClasses* fwordclasses; - template<class MAPPER> void makeWordClasses(const MAPPER&m1, - const MAPPER&m2, string efile, string ffile, const vcbList& elist, - const vcbList& flist) { - ifstream estrm(efile.c_str()), fstrm(ffile.c_str()); - if ( !estrm) { - cerr << "ERROR: can not read " << efile << endl; - } else - ewordclasses->read(estrm, m1,elist); - if ( !fstrm) - cerr << "ERROR: can not read " << ffile << endl; - else - fwordclasses->read(fstrm, m2,flist); - } - d4model(PositionIndex _msl, WordClasses& e, WordClasses& f) : - D1(compare1(M4_Dependencies)), Db1(compareb1(M4_Dependencies)), - msl(_msl),ewordclasses(&e),fwordclasses(&f) { - } - -protected: - inline COUNT&getCountRef_first(WordIndex j, WordIndex j_cp, int E, int F, int l, - int m) { - assert(j>=1); - m4_key key(M4_Dependencies, l, m, F, E, j_cp, -1, -1); - map<m4_key,Vpff,compare1 >::iterator p=D1.find(key); - if (p==D1.end()) - p=D1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=D1.end()); - return (p->second)[j-j_cp+msl].first; - }; - - inline COUNT&getCountRef_bigger(WordIndex j, WordIndex j_prev, int E, int F, - int l, int m) { - assert(j>=1); - assert(j_prev>=1); - m4_key key(M4_Dependencies, l, m, F, E, j_prev, -1, -1); - map<m4_key,Vpff,compareb1 >::iterator p=Db1.find(key); - if (p==Db1.end()) - p=Db1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=Db1.end()); - return (p->second)[j-j_prev+msl].first; - }; - Mutex lock_f,lock_b; -public: - inline void augCountRef_first(WordIndex j, WordIndex j_cp, int E, int F, int l, - int m, const COUNT& v){ - lock_f.lock(); - getCountRef_first(j,j_cp,E,F,l,m)+=v; - lock_f.unlock(); - } - - inline void augCountRef_bigger(WordIndex j, WordIndex j_prev, int E, int F, - int l, int m, const COUNT& v){ - lock_b.lock(); - getCountRef_bigger(j,j_prev,E,F,l,m)+=v; - lock_b.unlock(); - } - - - - void merge(d4model &d) { - map<m4_key,Vpff,compare1 >::iterator it; - for (it = d.D1.begin(); it!=d.D1.end(); it++) { - map<m4_key,Vpff,compare1 >::iterator p=D1.find(it->first); - if (p==D1.end()) - p=D1.insert(make_pair(it->first,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - int i; - for (i=0; i<it->second.size(); i++) { - p->second[i].second+=it->second[i].second; - } - } - for (it = d.Db1.begin(); it!=d.Db1.end(); it++) { - map<m4_key,Vpff,compare1 >::iterator p=Db1.find(it->first); - if (p==Db1.end()) - p=Db1.insert(make_pair(it->first,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - int i; - for (i=0; i<it->second.size(); i++) { - p->second[i].second+=it->second[i].second; - } - } - } - - bool augCount(const char* fD1, const char* fDb) { - ifstream ifsd(fD1); - int deps; - int l; - int m; - int F; - int E; - int prevj; - int vacancies1, vacancies2; - int len; - double count; - if (!ifsd) { - cerr << "Failed in " << fD1 << endl; - return false; - } - { - while (ifsd >> deps >> l >> m >>F >> E >> prevj >> vacancies1 - >>vacancies2>>len) { - m4_key key(M4_Dependencies, l, m, F, E, prevj, vacancies1, - vacancies2); - map<m4_key,Vpff,compare1 >::iterator p=D1.find(key); - if (p==D1.end()) - p=D1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=D1.end()); - int i; - for (i=0; i<len; i++) { - ifsd >> count; - p->second[i].first+=count; - } - - } - } - ifstream ifsd1(fDb); - if (!ifsd1) { - cerr << "Failed in " << fDb << endl; - return false; - } - { - while (ifsd1 >> deps >> l >> m >>F >> E >> prevj >> vacancies1 - >>vacancies2>>len) { - m4_key key(M4_Dependencies, l, m, F, E, prevj, vacancies1, - vacancies2); - map<m4_key,Vpff,compareb1 >::iterator p=Db1.find(key); - if (p==Db1.end()) - p=Db1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=D1.end()); - int i; - for (i=0; i<len; i++) { - ifsd1 >> count; - p->second[i].first+=count; - } - - } - } - return true; - } - - bool readProbTable(const char* fD1, const char* fDb){ - ifstream ifsd(fD1); - int deps; - int l; - int m; - int F; - int E; - int prevj; - int vacancies1,vacancies2; - int len; - double count; - if(!ifsd){ - cerr << "Failed in " << fD1 << endl; - return false; - } - { - while(ifsd >> deps >> l >> m >>F >> E >> prevj >> vacancies1>>vacancies2>>len){ - m4_key key(M4_Dependencies,l,m,F,E,prevj,vacancies1,vacancies2); - map<m4_key,Vpff,compare1 >::iterator p=D1.find(key); - if(p==D1.end())p=D1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=D1.end()); - int i; - for(i=0;i<len;i++){ - ifsd >> count; - p->second[i].second=count; - } - - } - } - ifstream ifsd1(fDb); - if(!ifsd1){ - cerr << "Failed in " << fDb << endl; - return false; - } - { - while(ifsd1 >> deps >> l >> m >>F >> E >> prevj >> vacancies1>>vacancies2>>len){ - m4_key key(M4_Dependencies,l,m,F,E,prevj,vacancies1,vacancies2); - map<m4_key,Vpff,compareb1 >::iterator p=Db1.find(key); - if(p==Db1.end())p=Db1.insert(make_pair(key,Vpff(msl*2+1,pair<COUNT,PROB>(0.0,0.0)))).first; - assert(p!=D1.end()); - int i; - for(i=0;i<len;i++){ - ifsd1 >> count; - p->second[i].second=count; - } - - } - } - return true; - } - - - bool printProbTable(const char* fD1, const char* fDb) { - ofstream ofsd(fD1); - if (!ofsd.is_open()) { - return false; - } - { - map<m4_key,Vpff,compare1 >::iterator it; - for (it = D1.begin(); it!=D1.end(); it++) { - ofsd << it->first.deps << " " << it->first.l << " " - << it->first.m << " " << it->first.F << " " - << it->first.E << " " << it->first.prevj << " " - << it->first.vacancies1 << " " << it->first.vacancies2 - << " " << it->second.size() << " "; - int i; - for (i=0; i<it->second.size(); i++) { - ofsd << it->second[i].second << " "; - } - ofsd << endl; - } - - } - - ofstream ofsdb(fDb); - if (!ofsdb.is_open()) { - return false; - } - - map<m4_key,Vpff,compareb1 >::iterator it; - for (it = Db1.begin(); it!=Db1.end(); it++) { - ofsdb << it->first.deps << " " << it->first.l << " " << it->first.m - << " " << it->first.F << " " << it->first.E << " " - << it->first.prevj << " " << it->first.vacancies1 << " " - << it->first.vacancies2 << " " << it->second.size()<< endl; - int i; - for (i=0; i<it->second.size(); i++) { - ofsdb << it->second[i].second << " "; - } - ofsdb << endl; - } - return true; - } - - bool dumpCount(const char* fD1, const char* fDb){ - ofstream ofsd(fD1); - if(!ofsd.is_open()){ - return false; - } - { - map<m4_key,Vpff,compare1 >::iterator it; - for(it = D1.begin(); it!=D1.end();it++){ - ofsd << it->first.deps << " " - << it->first.l << " " - << it->first.m << " " - << it->first.F << " " - << it->first.E << " " - << it->first.prevj << " " - << it->first.vacancies1 << " " - << it->first.vacancies2 << " " - << it->second.size() << " "; - int i; - for(i=0;i<it->second.size();i++){ - ofsd << it->second[i].first << " "; - } - ofsd << endl; - } - - } - - ofstream ofsdb(fDb); - if(!ofsdb.is_open()){ - return false; - } - - map<m4_key,Vpff,compareb1 >::iterator it; - for(it = Db1.begin(); it!=Db1.end();it++){ - ofsdb << it->first.deps << " " - << it->first.l << " " - << it->first.m << " " - << it->first.F << " " - << it->first.E << " " - << it->first.prevj << " " - << it->first.vacancies1 << " " - << it->first.vacancies2 << " " - << it->second.size()<< endl; - int i; - for(i=0;i<it->second.size();i++){ - ofsdb << it->second[i].first << " "; - } - ofsdb << endl; - } - return true; - } - map<m4_key,Vpff,compare1 >::const_iterator getProb_first_iterator(int E, - int F, int l, int m) const { - return D1.find(m4_key(M4_Dependencies, l, m, F, E, 0, -1, -1)); - } - PROB getProb_first_withiterator(WordIndex j, WordIndex j_cp, int m, - const map<m4_key,Vpff,compare1 >::const_iterator& p) const { - assert(j>=1); - //assert(j_cp>=0); - assert(j<=msl); - assert(j_cp<=msl); - if (p==D1.end()) { - return PROB_SMOOTH; - } else { - massert((p->second)[j-j_cp+msl].second<=1.0); - return max(PROB_SMOOTH, d4modelsmooth_factor/(2*m-1)+(1 - -d4modelsmooth_factor)*(p->second)[j-j_cp+msl].second); - } - } - - PROB getProb_first(WordIndex j, WordIndex j_cp, int E, int F, int l, int m) const { - assert(j>=1); - //assert(j_cp>=0); - assert(j<=msl); - assert(j_cp<=msl); - m4_key key(M4_Dependencies, l, m, F, E, j_cp, -1, -1); - map<m4_key,Vpff,compare1 >::const_iterator p=D1.find(key); - if (p==D1.end()) { - return PROB_SMOOTH; - } else { - massert((p->second)[j-j_cp+msl].second<=1.0); - return max(PROB_SMOOTH, d4modelsmooth_factor/(2*m-1)+(1 - -d4modelsmooth_factor)*(p->second)[j-j_cp+msl].second); - } - } - map<m4_key,Vpff,compareb1 >::const_iterator getProb_bigger_iterator(int E, - int F, int l, int m) const { - return Db1.find(m4_key(M4_Dependencies, l, m, F, E, 0, -1, -1)); - } - PROB getProb_bigger_withiterator(WordIndex j, WordIndex j_prev, int m, - const map<m4_key,Vpff,compareb1 >::const_iterator&p) const { - massert(j>=1); - massert(j_prev>=1); - massert(j>j_prev); - massert(j<=msl); - massert(j_prev<=msl); - if (p==Db1.end()) { - return PROB_SMOOTH; - } else { - massert((p->second)[j-j_prev+msl].second<=1.0 ); - return max(PROB_SMOOTH, d4modelsmooth_factor/(m-1)+(1 - -d4modelsmooth_factor)*(p->second)[j-j_prev+msl].second); - } - } - - PROB getProb_bigger(WordIndex j, WordIndex j_prev, int E, int F, int l, - int m) const { - massert(j>=1); - massert(j_prev>=1); - massert(j>j_prev); - massert(j<=msl); - massert(j_prev<=msl); - m4_key key(M4_Dependencies, l, m, F, E, j_prev, -1, -1); - map<m4_key,Vpff,compareb1 >::const_iterator p=Db1.find(key); - if (p==Db1.end()) { - return PROB_SMOOTH; - } else { - massert((p->second)[j-j_prev+msl].second<=1.0 ); - return max(PROB_SMOOTH, d4modelsmooth_factor/(m-1)+(1 - -d4modelsmooth_factor)*(p->second)[j-j_prev+msl].second); - } - } - - void normalizeTable() { - int nParams=0; - for (map<m4_key,Vpff,compare1 >::iterator i=D1.begin(); i!=D1.end(); ++i) { - Vpff&d1=i->second; - double sum=0.0; - for (PositionIndex i=0; i<d1.size(); i++) - sum+=d1[i].first; - for (PositionIndex i=0; i<d1.size(); i++) { - d1[i].second=sum ? (d1[i].first/sum) : (1.0/d1.size()); - nParams++; - } - } - for (map<m4_key,Vpff,compareb1 >::iterator i=Db1.begin(); i!=Db1.end(); ++i) { - Vpff&db1=i->second; - double sum=0.0; - for (PositionIndex i=0; i<db1.size(); i++) - sum+=db1[i].first; - for (PositionIndex i=0; i<db1.size(); i++) { - db1[i].second=sum ? (db1[i].first/sum) : (1.0/db1.size()); - nParams++; - } - } - cout << "D4 table contains " << nParams << " parameters.\n"; - } - - void clear() { - for (map<m4_key,Vpff,compare1 >::iterator i=D1.begin(); i!=D1.end(); ++i) { - Vpff&d1=i->second; - for (PositionIndex i=0; i<d1.size(); i++) - d1[i].first=0.0; - } - for (map<m4_key,Vpff,compareb1 >::iterator i=Db1.begin(); i!=Db1.end(); ++i) { - Vpff&db1=i->second; - for (PositionIndex i=0; i<db1.size(); i++) - db1[i].first=0.0; - } - } - - /*void printProbTable(const char*fname1,const char*fname2) - { - ofstream out(fname1); - double ssum=0.0; - out << "# Translation tables for Model 4 .\n"; - out << "# Table for head of cept.\n"; - for(map<m4_key,Vpff,compare1 >::const_iterator i=D1.begin();i!=D1.end();++i){ - const Vpff&d1=i->second; - double sum=0.0; - for(PositionIndex ii=0;ii<d1.size();ii++)sum+=d1[ii].first; - if ( sum ){ - print1(out,i->first,ewordclasses,fwordclasses); - out << "SUM: " << sum << ' '<< '\n'; - for(unsigned ii=0;ii<d1.size();ii++) - if( d1[ii].first ) - out << (int)(ii)-(int)(msl) << ' ' << d1[ii].first << '\n'; - out << endl; - } - ssum+=sum; - } - out << "# Table for non-head of cept.\n"; - for(map<m4_key,Vpff,compareb1 >::const_iterator i=Db1.begin();i!=Db1.end();++i) - { - const Vpff&db1=i->second; - double sum=0.0; - for(PositionIndex ii=0;ii<db1.size();++ii)sum+=db1[ii].first; - if( sum ){ - printb1(out,i->first,ewordclasses,fwordclasses); - out << "SUM: " << sum << ' '<<'\n'; - for(unsigned ii=0;ii<db1.size();ii++) - if( db1[ii].first ) - { - out << (int)(ii)-(int)(msl) << ' ' << db1[ii].first << '\n'; - } - out << endl; - } - ssum+=sum; - } - out << endl << "FULL-SUM: " << ssum << endl; - if( M4_Dependencies==76 ){ - ofstream out2(fname2); - for(map<m4_key,Vpff,compare1 >::const_iterator i=D1.begin();i!=D1.end();++i) - { - const Vpff&d1=i->second; - for(unsigned ii=0;ii<d1.size();ii++) - if( d1[ii].first ) - out2 << ewordclasses.classString(i->first.E) << ' ' << fwordclasses.classString(i->first.F) << ' ' << (int)(ii)-(int)(msl) << ' ' << d1[ii].second << '\n'; - } - for(map<m4_key,Vpff,compareb1 >::const_iterator i=Db1.begin();i!=Db1.end();++i) { - const Vpff&db1=i->second; - for(unsigned ii=0;ii<db1.size();ii++) - if( db1[ii].first ) - out2 << -1 << ' ' << fwordclasses.classString(i->first.F) << ' ' << (int)(ii)-(int)(msl) << ' ' << db1[ii].second << '\n'; - } - } - }*/ - - bool readProbTable(const char *fname) { - cerr << "Reading D4Tables from " << fname << endl; - ifstream file(fname); - string line; - do { - getline(file, line); - } while (line.length()&&line[0]=='#'); - - do { - while (line.length()==0) - getline(file, line); - if (line[0]=='#') - break; - Vector<string> linestr; - tokenize(line, linestr); - m4_key k(M4_Dependencies, 0, 0, 0, 0, 0, -1, -1); - for (unsigned int i=0; i<linestr.size(); i+=2) { - if (linestr[i]=="l:") { - k.l=atoi(linestr[i+1].c_str()); - iassert(M4_Dependencies&DEP_MODEL_l); - } - if (linestr[i]=="m:") { - k.m=atoi(linestr[i+1].c_str()); - iassert(M4_Dependencies&DEP_MODEL_m); - } - if (linestr[i]=="F:") { - k.F=(*fwordclasses)(linestr[i+1]); - iassert(M4_Dependencies&DEP_MODEL_F); - } - if (linestr[i]=="E:") { - k.E=(*ewordclasses)(linestr[i+1]); - iassert(M4_Dependencies&DEP_MODEL_E); - } - //if( linestr[i]=="j-1:" ){k.prevj=atoi(linestr[i+1].c_str());iassert(M4_Dependencies&DEP_MODEL_pj);} - } - string str; - double sum; - file >> str >> sum; - iassert(str=="SUM:"); - if (str!="SUM:") - cerr << "ERROR: string is " << str << " and not sum " << endl; - - do { - int value; - double count; - getline(file, line); - istrstream twonumbers(line.c_str()); - if (twonumbers >> value >> count) { - if (D1.count(k)==0) - D1.insert(make_pair(k, Vpff(msl*2+1, pair<COUNT, PROB>( - 0.0, 0.0)))); - D1[k][value+msl]=make_pair(count, count/sum); - } - } while (line.length()); - } while (file); - do { - getline(file, line); - } while (line.length()&&line[0]=='#'); - do { - while (line.length()==0) - getline(file, line); - if (line[0]=='#') - break; - Vector<string> linestr; - tokenize(line, linestr); - m4_key k(M4_Dependencies, 0, 0, 0, 0, 0, -1, -1); - bool sumRead=0; - for (unsigned int i=0; i<linestr.size(); i+=2) { - if (linestr[i]=="l:") { - k.l=atoi(linestr[i+1].c_str()); - iassert(M4_Dependencies&DEP_MODELb_l); - } else if (linestr[i]=="m:") { - k.m=atoi(linestr[i+1].c_str()); - iassert(M4_Dependencies&DEP_MODELb_m); - } else if (linestr[i]=="F:") { - k.F=(*fwordclasses)(linestr[i+1]); - iassert(M4_Dependencies&DEP_MODELb_F); - } else if (linestr[i]=="E:") { - k.E=(*ewordclasses)(linestr[i+1]); - iassert(M4_Dependencies&DEP_MODELb_E); - } else if (linestr[i]=="SUM:") { - cerr << "Warning: obviously no dependency.\n"; - sumRead=1; - } else if (linestr[i]=="FULL-SUM:") { - break; - } else { - cerr << "ERROR: error in reading d4 tables: " << linestr[i] - << ' ' << linestr[i+1] << endl; - } - } - string str; - double sum; - if (sumRead==0) - file >> str >> sum; - else { - str=linestr[0]; - sum=atof(linestr[1].c_str()); - } - if (str!="SUM:") - cerr << "ERROR: should read SUM but read " << str << endl; - do { - int value; - double count; - getline(file, line); - istrstream twonumbers(line.c_str()); - if (twonumbers >> value >> count) { - if (Db1.count(k)==0) - Db1.insert(make_pair(k, Vpff(msl*2+1, - pair<COUNT, PROB>(0.0, 0.0)))); - Db1[k][value+msl]=make_pair(count, count/sum); - } - } while (file&&line.length()); - } while (file); - return 1; - } -}; - -#endif diff --git a/mgizapp/src/D5Tables.h b/mgizapp/src/D5Tables.h deleted file mode 100644 index 74693f0..0000000 --- a/mgizapp/src/D5Tables.h +++ /dev/null @@ -1,233 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _d5tables_h_define -#define _d5tables_h_define -#include <math.h> -#include "D4Tables.h" - -extern float d5modelsmooth_countoffset; -extern float d5modelsmooth_factor; - -#define UNSEENPROB (1.0/vacancies_total) - -class d5model -{ - private: - typedef Vector < pair < COUNT,PROB > >Vpff; - map< m4_key,Vpff,compare1 > D1; - map< m4_key,Vpff,compareb1 > Db1; - public: - d4model&d4m; - WordClasses* ewordclasses; - WordClasses* fwordclasses; - template<class MAPPER> - void makeWordClasses(const MAPPER&m1,const MAPPER&m2,string efile,string ffile - , const vcbList& elist, - const vcbList& flist) - { - ifstream estrm(efile.c_str()),fstrm(ffile.c_str()); - if( !estrm ) - cerr << "ERROR: can not read classes from " << efile << endl; - else - ewordclasses->read(estrm,m1,elist); - if( !fstrm ) - cerr << "ERROR: can not read classes from " << ffile << endl; - else - fwordclasses->read(fstrm,m2,flist); - } - d5model (d4model&_d4m) - :D1 (compare1(M5_Dependencies)), Db1 (compareb1(M5_Dependencies)),d4m(_d4m), - ewordclasses(_d4m.ewordclasses),fwordclasses(_d4m.fwordclasses) - {} - COUNT &getCountRef_first (PositionIndex vacancies_j, - PositionIndex vacancies_jp, int F, - PositionIndex l, PositionIndex m, - PositionIndex vacancies_total) - { - massert(vacancies_j>0); - massert(vacancies_total>0); - //massert(vacancies_jp<=vacancies_total); - massert(vacancies_j <=vacancies_total); - massert(vacancies_total<=m); - m4_key key(M5_Dependencies,l,m,F,0,0,vacancies_jp,vacancies_total); - map<m4_key,Vpff,compare1 >::iterator p=D1.find(key); - if(p==D1.end()) - p=D1.insert(make_pair(key,Vpff(vacancies_total+1,make_pair(0,UNSEENPROB)))).first; // !!! constrain length - massert(p!=D1.end()); - return (p->second)[vacancies_j].first; - } - COUNT &getCountRef_bigger (PositionIndex vacancies_j, - PositionIndex vacancies_jp, int F, - PositionIndex l, PositionIndex m, - PositionIndex vacancies_total) - { - massert(vacancies_j>0); - massert(vacancies_total>0); - massert (vacancies_jp <= vacancies_j); - massert (vacancies_j-vacancies_jp <= vacancies_total); - m4_key key(M5_Dependencies,l,m,F,0,0,-1,vacancies_total); - map<m4_key,Vpff,compareb1 >::iterator p=Db1.find(key); - if(p==Db1.end()) - p=Db1.insert(make_pair(key,Vpff(vacancies_total+1,make_pair(0,UNSEENPROB)))).first; // !!! constrain length - massert(p!=Db1.end()); - return (p->second)[vacancies_j - vacancies_jp].first; - } - PROB getProb_first (PositionIndex vacancies_j, PositionIndex vacancies_jp, - int F, PositionIndex l, PositionIndex m, - PositionIndex vacancies_total) const - { - massert(vacancies_j>0); - massert(vacancies_total>0); - //massert(vacancies_jp<=vacancies_total); - massert(vacancies_j <=vacancies_total); - massert(vacancies_total<=m); - m4_key key(M5_Dependencies,l,m,F,0,0,vacancies_jp,vacancies_total); - map<m4_key,Vpff,compare1 >::const_iterator p=D1.find(key); - if( p==D1.end() ) - return UNSEENPROB; - else - return max(PROB_SMOOTH,d5modelsmooth_factor/(vacancies_total)+(1-d5modelsmooth_factor)*(p->second)[vacancies_j].second); - } - PROB getProb_bigger (PositionIndex vacancies_j, PositionIndex vacancies_jp, - int F, PositionIndex l, PositionIndex m, - PositionIndex vacancies_total) const - { - massert(vacancies_j>0); - massert(vacancies_total>0); - massert (vacancies_jp <= vacancies_j); - massert (vacancies_j-vacancies_jp <= vacancies_total); - m4_key key(M5_Dependencies,l,m,F,0,0,-1,vacancies_total); - map<m4_key,Vpff,compareb1 >::const_iterator p=Db1.find(key); - if(p==Db1.end()) - return UNSEENPROB; - else - return max(PROB_SMOOTH,d5modelsmooth_factor/(vacancies_total)+(1-d5modelsmooth_factor)*(p->second)[vacancies_j - vacancies_jp].second); - } - void normalizeTable () - { - int nParams=0; - for(map<m4_key,Vpff,compare1 >::iterator i=D1.begin();i!=D1.end();++i) - { - Vpff&d1=i->second; - COUNT sum=0.0; - for(PositionIndex i=0;i<d1.size();i++) - sum+=d1[i].first+d5modelsmooth_countoffset; - for(PositionIndex i=0;i<d1.size();i++) - { - d1[i].second=sum?((d1[i].first+d5modelsmooth_countoffset)/sum):(1.0/d1.size()); - nParams++; - } - } - for(map<m4_key,Vpff,compareb1 >::iterator i=Db1.begin();i!=Db1.end();++i) - { - Vpff&db1=i->second; - double sum=0.0; - for(PositionIndex i=0;i<db1.size();i++) - sum+=db1[i].first+d5modelsmooth_countoffset; - for(PositionIndex i=0;i<db1.size();i++) - { - db1[i].second=sum?((db1[i].first+d5modelsmooth_countoffset)/sum):(1.0/db1.size()); - nParams++; - } - } - cout << "D5 table contains " << nParams << " parameters.\n"; - } - -friend ostream&operator<<(ostream&out,d5model&d5m) { - out << "# Translation tables for Model 5 .\n"; - out << "# Table for head of cept.\n"; - for(map<m4_key,Vpff,compare1 >::const_iterator i=d5m.D1.begin();i!=d5m.D1.end();++i){ - const Vpff&d1=i->second; - COUNT sum=0.0; - for(PositionIndex ii=0;ii<d1.size();ii++)sum+=d1[ii].first; - if ( sum ) { - for(unsigned ii=0;ii<d1.size();ii++) - { - print1_m5(out,i->first,*d5m.ewordclasses,*d5m.fwordclasses); - out << (int)(ii) << ' ' << d1[ii].second << ' ' << d1[ii].first << '\n'; - } - out << endl; - } - } - out << "# Table for non-head of cept.\n"; - for(map<m4_key,Vpff,compareb1 >::const_iterator i=d5m.Db1.begin();i!=d5m.Db1.end();++i){ - const Vpff&db1=i->second; - double sum=0.0; - for(PositionIndex ii=0;ii<db1.size();++ii)sum+=db1[ii].first; - if( sum ){ - for(unsigned ii=0;ii<db1.size();ii++){ - printb1_m5(out,i->first,*d5m.fwordclasses); - out << (int)(ii) << ' ' << db1[ii].second << ' ' << db1[ii].first << '\n'; - } - out << endl; - } - } - return out; -} - void readProbTable(const char*x) - { - ifstream f(x); - string l; - while(getline(f,l)) - { - if(l.length()&&l[0]=='#') - continue; - istrstream is(l.c_str()); - string E,F; - int v1,v2,ii; - double prob,count; - if(is>>E>>F>>v1>>v2>>ii>>prob>>count) - { - //cerr << "Read: " << E << " " << F << " " << v1 << " " << v2 << " " << prob<< endl; - if( count>0 ) - if( E=="-1") - getCountRef_bigger(ii,0,(*fwordclasses)(F),1000,1000,v2)+=count; - else - getCountRef_first(ii,v1,(*fwordclasses)(F),1000,1000,v2)+=count; - } - } - normalizeTable(); - //ofstream of("M5FILE"); - //of << (*this); - } - void clear() - { - for(map<m4_key,Vpff,compare1 >::iterator i=D1.begin();i!=D1.end();++i) - { - Vpff&d1=i->second; - for(PositionIndex i=0;i<d1.size();i++) - d1[i].first=0.0; - } - for(map<m4_key,Vpff,compareb1 >::iterator i=Db1.begin();i!=Db1.end();++i) - { - Vpff&db1=i->second; - for(PositionIndex i=0;i<db1.size();i++) - db1[i].first=0.0; - } - } -}; - -#endif - - - diff --git a/mgizapp/src/Dictionary.cpp b/mgizapp/src/Dictionary.cpp deleted file mode 100644 index a0d9dc3..0000000 --- a/mgizapp/src/Dictionary.cpp +++ /dev/null @@ -1,93 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* Noah A. Smith - Dictionary object for dictionary filter in Model 1 training - - Dictionary file must be in order (sorted) by Foreign vocab id, but English - vocab ids may be in any order. - - 9 August 1999 -*/ - -#include "Dictionary.h" -#include <string.h> - -Dictionary::Dictionary(const char *filename){ - if(!strcmp(filename, "")){ - dead = true; - return; - } - dead = false; - cout << "Reading dictionary from: " << filename << '\n'; - ifstream dFile(filename); - if(!dFile){ - cerr << "ERROR: Can't open dictionary: " << filename << '\n'; - exit(1); - } - - currindexmin = 0; - currindexmax = 0; - currval = 0; - int p, q; - while((dFile >> p >> q)){ - pairs[0].push_back(p); - pairs[1].push_back(q); - } - cout << "Dictionary read; " << pairs[0].size() << " pairs loaded." << '\n'; - dFile.close(); -} - - -bool Dictionary::indict(int p, int q){ - if(dead) return false; - if(p == 0 && q == 0) return false; - if(currval == p){ - for(int i = currindexmin; i <= currindexmax; i++) - if(pairs[1][i] == q) return true; - return false; - } - else{ - int begin = 0, end = pairs[0].size() - 1, middle = 0; - unsigned int t; - bool ret = false; - while(begin <= end){ - middle = begin + ((end - begin) >> 1); - if(p < pairs[0][middle]) end = middle - 1; - else if(p > pairs[0][middle]) begin = middle + 1; - else{ - break; - } - } - t = middle; - while(pairs[0][t] == p ) - if(pairs[1][t--] == q) ret = true; - currindexmin = t + 1; - t = middle + 1; - while(pairs[0][t] == p && t < pairs[0].size()) - if(pairs[1][t++] == q) ret = true; - currindexmax = t - 1; - currval = p; - return ret; - } -} - - diff --git a/mgizapp/src/Dictionary.h b/mgizapp/src/Dictionary.h deleted file mode 100644 index 3a5c71e..0000000 --- a/mgizapp/src/Dictionary.h +++ /dev/null @@ -1,48 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* Noah A. Smith - Dictionary object for dictionary filter in Model 1 training - - 9 August 1999 -*/ - -#include <iostream> -#include <fstream> - -#include "Vector.h" - -#ifndef DICTIONARY_H -#define DICTIONARY_H - -class Dictionary{ - private: - Vector<int> pairs[2]; - int currval; - int currindexmin; - int currindexmax; - bool dead; - public: - Dictionary(const char *); - bool indict(int, int); -}; - -#endif diff --git a/mgizapp/src/FlexArray.h b/mgizapp/src/FlexArray.h deleted file mode 100644 index c7365f7..0000000 --- a/mgizapp/src/FlexArray.h +++ /dev/null @@ -1,58 +0,0 @@ -/* - -Copyright (C) 1988,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef CLASS_FlexArray_defined -#define CLASS_FlexArray_defined -#include "Array.h" -#include <iostream> -#include <fstream> -template<class T> -class FlexArray -{ -private: - Array<T> p; - int start,End; -public: - FlexArray(int _start=0,int _end=-1) - : p(_end-_start+1),start(_start),End(_end) {} - FlexArray(int _start,int _end,const T&init) - : p(_end-_start+1,init),start(_start),End(_end) {} - T&operator[](int i) - {return p[i-start];} - const T&operator[](int i)const - {return p[i-start];} - int low()const{return start;} - int high()const{return End;} - T*begin(){return conv<double>(p.begin());} - T*end(){return conv<double>(p.end());} -}; - -template<class T> -inline ostream&operator<<(ostream&out,const FlexArray<T>&x) -{ - for(int i=x.low();i<=x.high();++i) - out << i << ':' << x[i] << ';' << ' '; - return out; -} - - -#endif diff --git a/mgizapp/src/ForwardBackward.h b/mgizapp/src/ForwardBackward.h deleted file mode 100644 index 42449d3..0000000 --- a/mgizapp/src/ForwardBackward.h +++ /dev/null @@ -1,62 +0,0 @@ -/* - -Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef NO_EM_MARKOF_ZEUGS_DEFINED -#define NO_EM_MARKOF_ZEUGS_DEFINED -#ifndef NO_TRAINING -#include "myassert.h" -#include "Array.h" -#include "Array2.h" - -class HMMNetwork -{ - public: - int as,bs; - Array2<double> n; - Array<Array2<double> > e; - Array<double> alphainit; - Array<double> betainit; - int ab; - double finalMultiply; - HMMNetwork(int I,int J) - : as(I),bs(J),n(as,bs),/*e(as,as,0.0),*/e(0),alphainit(as,1.0/as),betainit(as,1.0),ab(as*bs),finalMultiply(1.0) - {} - double getAlphainit(int i)const{return alphainit[i];} - double getBetainit(int i)const{return betainit[i];} - inline int size1()const{return as;} - inline int size2()const{return bs;} - inline const double&nodeProb(int i,int j)const - {return n(i,j);} - inline const double&outProb(int j,int i1,int i2)const - {/*massert(e[min(int(e.size())-1,j)](i1,i2) );*/ return e[min(int(e.size())-1,j)](i1,i2);} - friend ostream&operator<<(ostream&out,const HMMNetwork&x) - { - return out <<"N: \n"<< x.n << endl << "E: \n" << x.e << "A:\n" << x.alphainit << "B:\n" << x.betainit << endl; - } -}; -double ForwardBackwardTraining(const HMMNetwork&mc,Array<double>&gamma,Array<Array2<double> >&epsilon); -void HMMViterbi(const HMMNetwork&mc,Array<int>&vit); -double HMMRealViterbi(const HMMNetwork&net,Array<int>&vit,int pegi=-1,int pegj=-1,bool verbose=0); -double MaximumTraining(const HMMNetwork&net,Array<double>&g,Array<Array2<double> >&e); -void HMMViterbi(const HMMNetwork&net,Array<double>&g,Array<int>&vit); -#endif -#endif diff --git a/mgizapp/src/Globals.h b/mgizapp/src/Globals.h deleted file mode 100644 index 3fa17d9..0000000 --- a/mgizapp/src/Globals.h +++ /dev/null @@ -1,75 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef Globals_asdf_defined -#define Globals_asdf_defined -#include <string> -#include <fstream> -#include <map> -#include <syncObj.h> -#include "defs.h" -#include "Vector.h" - -extern float PROB_SMOOTH,MINCOUNTINCREASE; -extern bool Verbose, Log, Peg, Transfer, Transfer2to3, useDict ; -extern string Prefix, LogFilename, OPath, - SourceVocabFilename, TargetVocabFilename, CorpusFilename, TestCorpusFilename, - t_Filename, a_Filename, p0_Filename, d_Filename, n_Filename, dictionary_Filename; -extern ofstream logmsg ; -extern Mutex logmsg_lock; -extern double M5P0,P0 ; -extern bool NODUMPS, FEWDUMPS ; -extern string Usage ; -extern unsigned int MAX_SENTENCE_LENGTH ; -extern int PegUntil; - -extern short DeficientDistortionForEmptyWord; - -extern int M4_Dependencies; -extern int M5_Dependencies; - -extern short OutputInAachenFormat; - -#define DEP_MODEL_l 1 -#define DEP_MODEL_m 2 -#define DEP_MODEL_F 4 -#define DEP_MODEL_E 8 - -#define DEP_MODELb_l 16 -#define DEP_MODELb_m 32 -#define DEP_MODELb_F 64 -#define DEP_MODELb_E 128 - -#define DEP_SUM 256 - -class vcbList; - -extern vcbList *globeTrainVcbList, *globfTrainVcbList; - -extern short PredictionInAlignments; -extern short SmoothHMM; -#define VERB Verbose - -double ErrorsInAlignment(const map< pair<int,int>,char >&reference,const Vector<WordIndex>&test,int l,int&missing,int&toomuch,int&eventsMissing,int&eventsToomuch,int); -extern Vector<map< pair<int,int>,char > > ReferenceAlignment; -void printGIZAPars(ostream&out); - -#endif diff --git a/mgizapp/src/HMMTables.cpp b/mgizapp/src/HMMTables.cpp deleted file mode 100644 index 4e5acd1..0000000 --- a/mgizapp/src/HMMTables.cpp +++ /dev/null @@ -1,512 +0,0 @@ -/* - - Copyright (C) 1998,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - - This file is part of GIZA++ ( extension of GIZA ). - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#include "HMMTables.h" -#include <fstream> -#include <sstream> -#include "Globals.h" -#include "Parameter.h" - -template<class CLS, class MAPPERCLASSTOSTRING> void HMMTables<CLS, - MAPPERCLASSTOSTRING>::writeJumps(ostream&out) const { - double ssum=0.0; - for (typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator i= - alProb.begin(); i!=alProb.end(); ++i) { - double sum=0.0; - out << "\n\nDistribution for: "; - printAlDeps(out, i->first, *mapper1, *mapper2); - out << ' '; - for (int a=i->second.low(); a<=i->second.high(); ++a) - if (i->second[a]) { - out << a << ':' << i->second[a] << ';' << ' '; - sum+=i->second[a]; - } - out << '\n' << '\n'; - out << "SUM: " << sum << '\n'; - ssum+=sum; - } - out << "FULL-SUM: " << ssum << '\n'; -} -template<class CLS, class MAPPERCLASSTOSTRING> void HMMTables<CLS, - MAPPERCLASSTOSTRING>::readJumps(istream&) { -} -template<class CLS, class MAPPERCLASSTOSTRING> double HMMTables<CLS, - MAPPERCLASSTOSTRING>::getAlProb(int istrich, int k, int sentLength, - int J, CLS w1, CLS w2, int j, int iter) const { - massert(k<sentLength&&k>=0); - massert(istrich<sentLength&&istrich>=-1); - int pos=istrich-k; - switch (PredictionInAlignments) { - case 0: - pos=istrich-k; - break; - case 1: - pos=k; - break; - case 2: - pos=(k*J-j*sentLength); - if (pos>0) - pos+=J/2; - else - pos-=J/2; - pos/=J; - break; - default: - abort(); - } - lock.lock(); - typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator p= - alProb.find(AlDeps<CLS>(sentLength, istrich, j, w1, w2)); - if (p!=alProb.end() ) { - lock.unlock(); - return (p->second)[pos]; - } else { - if (iter>0&&iter<5000) - cout << "WARNING: Not found: " << ' ' << J << ' ' << sentLength - << '\n';; - lock.unlock(); - return 1.0/(2*sentLength-1); - } - lock.unlock(); -} - -template<class CLS, class MAPPERCLASSTOSTRING> void HMMTables<CLS, - MAPPERCLASSTOSTRING>::addAlCount(int istrich, int k, int sentLength, - int J, CLS w1, CLS w2, int j, double value, double valuePredicted) { - int pos=istrich-k; - switch (PredictionInAlignments) { - case 0: - pos=istrich-k; - break; - case 1: - pos=k; - break; - case 2: - pos=(k*J-j*sentLength); - if (pos>0) - pos+=J/2; - else - pos-=J/2; - pos/=J; - break; - default: - abort(); - } - - AlDeps<CLS> deps(AlDeps<CLS>(sentLength, istrich, j, w1, w2)); - - { - lock.lock(); - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProb.find(deps); - if (p==alProb.end() ) { - if ( (CompareAlDeps&1)==0) - p - =alProb.insert(make_pair(deps,FlexArray<double> (-MAX_SENTENCE_LENGTH,MAX_SENTENCE_LENGTH,0.0))).first; - else - p=alProb.insert(make_pair(deps,FlexArray<double> (-sentLength,sentLength,0.0))).first; - } - p->second[pos]+=value; - lock.unlock(); - } - - if (valuePredicted) { - lock.lock(); - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProbPredicted.find(deps); - if (p==alProbPredicted.end() ) { - if ( (CompareAlDeps&1)==0) - p - =alProbPredicted.insert(make_pair(deps,FlexArray<double> (-MAX_SENTENCE_LENGTH,MAX_SENTENCE_LENGTH,0.0))).first; - else - p=alProbPredicted.insert(make_pair(deps,FlexArray<double> (-sentLength,sentLength,0.0))).first; - } - p->second[pos]+=valuePredicted; - lock.unlock(); - } -} - -template<class CLS, class MAPPERCLASSTOSTRING> -pair<Array<double>,Mutex>&HMMTables<CLS,MAPPERCLASSTOSTRING>::doGetAlphaInit(int I) -{ - alphalock.lock(); - if( !init_alpha.count(I) ){ - init_alpha[I]=pair<Array<double>,Mutex>(Array<double>(I,0),Mutex()); - } - pair<Array<double>,Mutex>& ret = init_alpha[I]; - alphalock.unlock(); - return ret; -} -template<class CLS, class MAPPERCLASSTOSTRING> -pair<Array<double>,Mutex>&HMMTables<CLS,MAPPERCLASSTOSTRING>::doGetBetaInit(int I) -{ - betalock.lock(); - if( !init_beta.count(I) ){ - init_beta[I]=pair<Array<double>,Mutex>(Array<double>(I,0),Mutex()); - } - pair<Array<double>,Mutex>& ret = init_beta[I]; - betalock.unlock(); - return ret; -} - -template<class CLS, class MAPPERCLASSTOSTRING> bool HMMTables<CLS, - MAPPERCLASSTOSTRING>::getAlphaInit(int I, Array<double>&x) const { - alphalock.lock(); - hash_map<int,pair<Array<double>,Mutex> >::const_iterator i=init_alpha.find(I); - if (i==init_alpha.end() ){ - alphalock.unlock(); - return 0; - } - else { - x=i->second.first; - alphalock.unlock(); - for (unsigned int j=x.size()/2+1; j<x.size(); ++j) - // only first empty word can be chosen - x[j]=0; - return 1; - } - alphalock.unlock(); -} -template<class CLS, class MAPPERCLASSTOSTRING> bool HMMTables<CLS, - MAPPERCLASSTOSTRING>::getBetaInit(int I, Array<double>&x) const { - betalock.lock(); - hash_map<int,pair<Array<double>,Mutex> >::const_iterator i=init_beta.find(I); - if (i==init_beta.end() ){ - betalock.unlock(); - return 0; - } - else { - x=i->second.first; - betalock.unlock(); - return 1; - } - betalock.unlock(); -} - -/*********************************** - By Edward Gao - ************************************/ - -template<class CLS, class MAPPERCLASSTOSTRING> bool HMMTables<CLS, - MAPPERCLASSTOSTRING>::writeJumps(const char* alprob, - const char* alpredict, const char* alpha, const char* beta) const { - if (alprob) { - ofstream ofs(alprob); - if (!ofs.is_open()) { - cerr << "Cannot open file for HMM output " << alprob << endl; - return false; - } - cerr << "Dumping HMM table to " << alprob << endl; - - for (typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator i= - alProb.begin(); i!=alProb.end(); ++i) { - double sum=0.0; - ofs <<i->first.englishSentenceLength << " " - << i->first.classPrevious << " " << i->first.previous - << " " << i->first.j << " " << i->first.Cj <<" " - << i->second.low() <<" " << i->second.high()<< " "; - for (int a=i->second.low(); a<=i->second.high(); ++a) - if (i->second[a]) { - ofs << a << ' ' << i->second[a] << ' '; - sum+=i->second[a]; - } - ofs << endl; - } - ofs.close(); - } - if (alpredict) { - ofstream ofs(alpredict); - if (!ofs.is_open()) { - cerr << "Cannot open file for HMM output " << alpredict << endl; - return false; - } - cerr << "Dumping HMM table to " << alpredict << endl; - for (typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator i= - alProbPredicted.begin(); i!=alProbPredicted.end(); ++i) { - double sum=0.0; - ofs << i->first.englishSentenceLength << " " - << i->first.classPrevious << " " << i->first.previous - << " " << i->first.j << " " << i->first.Cj <<" " - << i->second.low() <<" " << i->second.high()<< " "; - for (int a=i->second.low(); a<=i->second.high(); ++a) - if (i->second[a]) { - ofs << a << ' ' << i->second[a] << ' '; - sum+=i->second[a]; - } - ofs << endl; - } - ofs.close(); - } - if (alpha) { - ofstream ofs(alpha); - - if (!ofs.is_open()) { - cerr << "Cannot open file for HMM output " << alpha << endl; - return false; - } - cerr << "Dumping HMM table to " << alpha << endl; - for (typename hash_map<int,pair<Array<double>,Mutex> >::const_iterator i= - init_alpha.begin(); i!=init_alpha.end(); i++) { - ofs << i->first << " " << i->second.first.size() <<" "; - int j; - for (j=0; j<i->second.first.size(); j++) { - ofs << i->second.first[j] << " "; - } - ofs<<endl; - } - ofs.close(); - } - if (beta) { - ofstream ofs(beta); - if (!ofs.is_open()) { - cerr << "Cannot open file for HMM output " << beta << endl; - return false; - } - cerr << "Dumping HMM table to " << beta << endl; - for (typename hash_map<int,pair<Array<double>,Mutex> >::const_iterator i= - init_beta.begin(); i!=init_beta.end(); i++) { - ofs << i->first << " " << i->second.first.size() << " "; - int j; - for (j=0; j<i->second.first.size(); j++) { - ofs << i->second.first[j] << " "; - } - ofs << endl; - } - ofs.close(); - } - return true; -} - -template<class CLS, class MAPPERCLASSTOSTRING> bool HMMTables<CLS, - MAPPERCLASSTOSTRING>::readJumps(const char* alprob, - const char* alpredict, const char* alpha, const char* beta) { - if (alprob) { - ifstream ifs(alprob); - if (!ifs.is_open()) { - cerr << "Cannot open file for HMM input " << alprob << endl; - return false; - } - cerr << "Reading HMM table from " << alprob << endl; - string strLine=""; - bool expect_data = false; - while (!ifs.eof()) { - strLine = ""; - getline(ifs, strLine); - if (strLine.length()) { - stringstream ss(strLine.c_str()); - AlDeps<CLS> dep; - int low, high; - ss >> dep.englishSentenceLength >> dep.classPrevious - >> dep.previous >> dep.j >> dep.Cj >> low >> high; - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProb.find(dep); - if (p==alProb.end() ) { - p=alProb.insert(make_pair(dep,FlexArray<double> (low,high,0.0))).first; - } - int pos; - double val; - while (!ss.eof()) { - pos = low-1; - val = 0; - ss >> pos >> val; - if (pos>low-1) { - p->second[pos]+=val; - } - } - } - } - } - if (alpredict) { - ifstream ifs(alpredict); - if (!ifs.is_open()) { - cerr << "Cannot open file for HMM input " << alpredict << endl; - return false; - } - cerr << "Reading HMM table from " << alpredict << endl; - string strLine=""; - bool expect_data = false; - while (!ifs.eof()) { - strLine = ""; - getline(ifs, strLine); - if (strLine.length()) { - stringstream ss(strLine.c_str()); - AlDeps<CLS> dep; - int low, high; - ss >> dep.englishSentenceLength >> dep.classPrevious - >> dep.previous >> dep.j >> dep.Cj >> low >> high; - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProbPredicted.find(dep); - if (p==alProbPredicted.end() ) { - p=alProbPredicted.insert(make_pair(dep,FlexArray<double> (low,high,0.0))).first; - } - int pos; - double val; - - while (!ss.eof()) { - pos = low-1; - val = 0; - ss >> pos >> val; - if (pos>low-1) { - p->second[pos]+=val; - } - } - } - } - } - - if (alpha) { - ifstream ifs(alpha); - - if (!ifs.is_open()) { - cerr << "Cannot open file for HMM input " << alpha << endl; - return false; - } - string strLine=""; - bool expect_data = false; - while (!ifs.eof()) { - strLine = ""; - getline(ifs, strLine); - if (strLine.length()) { - stringstream ss(strLine.c_str()); - int id = -1, size = -1; - ss >> id >> size; - if (id<0||size<0||id!=size) { - cerr << "Mismatch in alpha init table!" << endl; - return false; - } - pair<Array<double>, Mutex>&alp = doGetAlphaInit(id); - Array<double>& gk = alp.first; - int j; - double v; - alp.second.lock(); - for (j=0; j<gk.size(); j++) { - ss >> v; - gk[j]+=v; - } - alp.second.unlock(); - } - } - } - - if (beta) { - ifstream ifs(beta); - - if (!ifs.is_open()) { - cerr << "Cannot open file for HMM input " << beta << endl; - return false; - } - string strLine=""; - bool expect_data = false; - while (!ifs.eof()) { - strLine = ""; - getline(ifs, strLine); - if (strLine.length()) { - stringstream ss(strLine.c_str()); - int id = -1, size = -1; - ss >> id >> size; - if (id<0||size<0||id!=size) { - cerr << "Mismatch in alpha init table!" << endl; - return false; - } - pair<Array<double>, Mutex>&bet1 = doGetBetaInit(id); - Array<double>&bet = bet1.first; - - int j; - double v; - bet1.second.lock(); - for (j=0; j<bet.size(); j++) { - ss >> v; - bet[j]+=v; - } - bet1.second.unlock(); - } - } - } - - return true; -} - -template<class CLS, class MAPPERCLASSTOSTRING> bool HMMTables<CLS, - MAPPERCLASSTOSTRING>::merge(HMMTables<CLS,MAPPERCLASSTOSTRING> & ht) { - - for (typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator i= - ht.alProb.begin(); i!=ht.alProb.end(); ++i) { - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProb.find(i->first); - if (p==alProb.end() ) { - p=alProb.insert(make_pair(i->first,FlexArray<double> (i->second.low(),i->second.high(),0.0))).first; - } - for (int a=i->second.low(); a<=i->second.high(); ++a) - if (i->second[a]) { - p->second[a] += i->second[a]; - } - - } - - for (typename map<AlDeps<CLS>,FlexArray<double> >::const_iterator i= - ht.alProbPredicted.begin(); i!=ht.alProbPredicted.end(); ++i) { - typename map<AlDeps<CLS>,FlexArray<double> >::iterator p= - alProbPredicted.find(i->first); - if (p==alProbPredicted.end() ) { - p=alProbPredicted.insert(make_pair(i->first,FlexArray<double> (i->second.low(),i->second.high(),0.0))).first; - } - for (int a=i->second.low(); a<=i->second.high(); ++a) - if (i->second[a]) { - p->second[a] += i->second[a]; - } - - } - - for (typename hash_map<int,pair<Array<double>,Mutex> >::const_iterator i= - ht.init_alpha.begin(); i!=ht.init_alpha.end(); i++) { - pair<Array<double>,Mutex> alp = doGetAlphaInit(i->first); - int j; - double v; - for (j=0; j<alp.first.size(); j++) { - alp.first[j]+=i->second.first[j]; - } - } - for (typename hash_map<int,pair<Array<double>,Mutex> >::const_iterator i= - ht.init_beta.begin(); i!=ht.init_beta.end(); i++) { - pair<Array<double>,Mutex>&alp = doGetBetaInit(i->first); - int j; - double v; - for (j=0; j<alp.first.size(); j++) { - alp.first[j]+=i->second.first[j]; - } - } - - return true; - -} - -////////////////////////////////////// -template<class CLS, class MAPPERCLASSTOSTRING> HMMTables<CLS, - MAPPERCLASSTOSTRING>::HMMTables(double _probForEmpty, - const MAPPERCLASSTOSTRING&m1, const MAPPERCLASSTOSTRING&m2) : - probabilityForEmpty(mfabs(_probForEmpty)), - updateProbabilityForEmpty(_probForEmpty<0.0), mapper1(&m1), - mapper2(&m2) { -} -template<class CLS, class MAPPERCLASSTOSTRING> HMMTables<CLS, - MAPPERCLASSTOSTRING>::~HMMTables() { -} diff --git a/mgizapp/src/HMMTables.h b/mgizapp/src/HMMTables.h deleted file mode 100644 index efb7215..0000000 --- a/mgizapp/src/HMMTables.h +++ /dev/null @@ -1,179 +0,0 @@ -/* - -Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef HMM_TABLES_H_ASDF_DEFINED -#define HMM_TABLES_H_ASDF_DEFINED -#include "FlexArray.h" - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include "Array.h" -#include <map> -#include "mymath.h" -#include "syncObj.h" - -template<class T> -T normalize_if_possible(T*a,T*b){ - T sum=0; - for(T*i=a;i!=b;++i) - sum+=*i; - if( sum ) - for(T*i=a;i!=b;++i) - *i/=sum; - else - fill(a,b,1.0/(b-a)); - return sum; -} - -extern short CompareAlDeps; -template<class CLS> -class AlDeps{ -public: - int englishSentenceLength; - CLS classPrevious; - int previous; - int j; - CLS Cj; - AlDeps(){}; - AlDeps(int l,int p=0,int _j=0,CLS s1=0,CLS _Cj=0) - : englishSentenceLength(l),classPrevious(s1),previous(p),j(_j),Cj(_Cj) - {} - friend bool operator<(const AlDeps&x,const AlDeps&y){ - if( (CompareAlDeps&1) && x.englishSentenceLength<y.englishSentenceLength ) return 1; - if( (CompareAlDeps&1) && y.englishSentenceLength<x.englishSentenceLength ) return 0; - if( (CompareAlDeps&2) && x.classPrevious<y.classPrevious ) return 1; - if( (CompareAlDeps&2) && y.classPrevious<x.classPrevious ) return 0; - if( (CompareAlDeps&4) && x.previous<y.previous ) return 1; - if( (CompareAlDeps&4) && y.previous<x.previous ) return 0; - if( (CompareAlDeps&8) && x.j<y.j ) return 1; - if( (CompareAlDeps&8) && y.j<x.j ) return 0; - if( (CompareAlDeps&16) && x.Cj<y.Cj ) return 1; - if( (CompareAlDeps&16) && y.Cj<x.Cj ) return 0; - return 0; - } - friend bool operator==(const AlDeps&x,const AlDeps&y) - { return !( x<y || y<x ); } -}; - -template<class CLS> -class Hash_AlDeps{ -public: - unsigned - int - operator() - (const AlDeps<CLS>&x) - const - { - unsigned int hash=0; - if( (CompareAlDeps&1) ) { hash=hash+x.englishSentenceLength;hash*=31;} - if( (CompareAlDeps&2) ) { hash=hash+x.classPrevious;hash*=31;} - if( (CompareAlDeps&4) ) { hash=hash+x.previous;hash*=31;} - if( (CompareAlDeps&8) ) { hash=hash+x.j;hash*=31;} - if( (CompareAlDeps&16) ) { hash=hash+x.Cj;hash*=31;} - return hash; - - } -}; - -template<class CLS,class MAPPERCLASSTOSTRING> -class HMMTables -{ - Mutex lock; - Mutex alphalock,betalock; -public: - double probabilityForEmpty; - bool updateProbabilityForEmpty; - hash_map<int, pair<Array<double>,Mutex> > init_alpha; - hash_map<int, pair<Array<double>,Mutex> > init_beta; - map<AlDeps<CLS>,FlexArray<double> > alProb; - map<AlDeps<CLS>,FlexArray<double> > alProbPredicted; - int globalCounter; - double divSum; - double p0_count,np0_count; - const MAPPERCLASSTOSTRING*mapper1; - const MAPPERCLASSTOSTRING*mapper2; -public: - bool merge(HMMTables<CLS,MAPPERCLASSTOSTRING> & ht); - const HMMTables<CLS,MAPPERCLASSTOSTRING>*getThis()const {return this;} - HMMTables(double _probForEmpty,const MAPPERCLASSTOSTRING&m1,const MAPPERCLASSTOSTRING&m2); - virtual ~HMMTables(); - virtual double getAlProb(int i,int k,int sentLength,int J,CLS w1,CLS w2,int j,int iter=0) const; - virtual void writeJumps(ostream&) const; - /**By Edward Gao, write out all things needed to rebuild the count table*/ - virtual bool writeJumps(const char* alprob, const char* alpredict, const char* alpha, const char* beta )const; - virtual bool readJumps(const char* alprob, const char* alpredict, const char* alpha, const char* beta ); - void addAlCount(int i,int k,int sentLength,int J,CLS w1,CLS w2,int j,double value,double valuePredicted); - virtual void readJumps(istream&); - virtual bool getAlphaInit(int I,Array<double>&x)const; - virtual bool getBetaInit(int I,Array<double> &x)const; - pair<Array<double>, Mutex> &doGetAlphaInit(int I); - pair<Array<double>, Mutex> &doGetBetaInit(int I); - virtual double getProbabilityForEmpty()const - {return probabilityForEmpty;} - void performGISIteration(const HMMTables<CLS,MAPPERCLASSTOSTRING>*old){ - cout << "OLDSIZE: " << (old?(old->alProb.size()):0) << " NEWSIZE:"<< alProb.size()<< endl; - for(typename map<AlDeps<CLS>,FlexArray<double> >::iterator i=alProb.begin();i!=alProb.end();++i) { - if( alProbPredicted.count(i->first)){ - normalize_if_possible(i->second.begin(),i->second.end()); - normalize_if_possible(alProbPredicted[i->first].begin(),alProbPredicted[i->first].end()); - for(int j=i->second.low();j<=i->second.high();++j){ - if( i->second[j] ) - if(alProbPredicted[i->first][j]>0.0 ) - { - double op=1.0; - if( old && old->alProb.count(i->first) ) - op=(old->alProb.find(i->first)->second)[j]; - //cerr << "GIS: " << j << ' ' << " OLD:" - // << op << "*true:" - // << i->second[j] << "/pred:" << alProbPredicted[i->first][j] << " -> "; - - - i->second[j]= op*(i->second[j]/alProbPredicted[i->first][j]); - //cerr << i->second[j] << endl; - } - else{ - cerr << "ERROR2 in performGISiteration: " << i->second[j] << endl; - } - } - } - else - cerr << "ERROR in performGISIteration: " << alProbPredicted.count(i->first) << endl; - } - } -}; - -template<class CLS,class MAPPERCLASSTOSTRING> -inline void printAlDeps(ostream&out,const AlDeps<CLS>&x,const MAPPERCLASSTOSTRING&mapper1,const MAPPERCLASSTOSTRING&mapper2) -{ - if( (CompareAlDeps&1) ) out << "sentenceLength: " << x.englishSentenceLength<< ' '; - if( (CompareAlDeps&2) ) out << "previousClass: " << mapper1.classString(x.classPrevious) << ' '; - if( (CompareAlDeps&4) ) out << "previousPosition: " << x.previous << ' '; - if( (CompareAlDeps&8) ) out << "FrenchPosition: " << x.j << ' '; - if( (CompareAlDeps&16) ) out << "FrenchClass: " << mapper2.classString(x.Cj) << ' '; - //out << '\n'; -} - -#endif diff --git a/mgizapp/src/Makefile.am b/mgizapp/src/Makefile.am deleted file mode 100644 index 55d688e..0000000 --- a/mgizapp/src/Makefile.am +++ /dev/null @@ -1,217 +0,0 @@ -## Process this file with automake to produce Makefile.in - -## Created by Anjuta - -INCLUDES = \ - -DPACKAGE_LOCALE_DIR=\""$(prefix)/$(DATADIRNAME)/locale"\" \ - -DPACKAGE_SRC_DIR=\""$(srcdir)"\" \ - -DPACKAGE_DATA_DIR=\""$(datadir)"\" - -AM_CFLAGS =\ - -Wall\ - -g - -bin_PROGRAMS = mgiza \ - snt2cooc\ - snt2plain\ - plain2snt \ - symal \ - hmmnorm \ - d4norm - -d4norm_SOURCES = \ - 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-EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "NTables.h" -#include <iostream> -#include "defs.h" -#include <fstream> -#include "Parameter.h" - -GLOBAL_PARAMETER(double,NTablesFactorGraphemes,"nSmooth","smoothing for fertility parameters (good value: 64): weight for wordlength-dependent fertility parameters",PARLEV_SMOOTH,64.0); -GLOBAL_PARAMETER(double,NTablesFactorGeneral,"nSmoothGeneral","smoothing for fertility parameters (default: 0): weight for word-independent fertility parameters",PARLEV_SMOOTH,0.0); - -template <class VALTYPE> -void nmodel<VALTYPE>::printNTable(int noEW, const char* filename, - const Vector<WordEntry>& evlist, - bool actual) const - // prints the fertility table but with actual sourcce words (not their id) -{ - cerr << "Dumping nTable to: " << filename << '\n'; - ofstream of(filename); - VALTYPE p ; - WordIndex k, i ; - for(i=1; int(i) < noEW; i++){ - if (evlist[i].freq > 0){ - if (actual) - of << evlist[i].word << ' ' ; - else - of << i << ' ' ; - for( k=0; k < MAX_FERTILITY; k++){ - p = getValue(i, k); - if (p <= PROB_SMOOTH) - p = 0; - of << p << ' '; - } - of << '\n'; - } - } -} - -template <class VALTYPE> -void nmodel<VALTYPE>::printRealNTable(int noEW, const char* filename, - const Vector<WordEntry>& evlist, - bool actual) const - // prints the fertility table but with actual sourcce words (not their id) -{ - cerr << "Dumping nTable to: " << filename << '\n'; - ofstream of(filename); - VALTYPE p ; - WordIndex k, i ; - for(i=1; int(i) < noEW; i++){ - if (evlist[i].freq > 0){ - if (actual) - of << evlist[i].word << ' ' ; - else - of << i << ' ' ; - for( k=0; k < MAX_FERTILITY; k++){ - p = getValue(i, k); -// if (p <= PROB_SMOOTH) -// p = 0; - of << p << ' '; - } - of << '\n'; - } - } -} - -template <class VALTYPE> -bool nmodel<VALTYPE>::readNTable(const char *filename){ - /* This function reads the n table from a file. - Each line is of the format: source_word_id p0 p1 p2 ... pn - This is the inverse operation of the printTable function. - NAS, 7/11/99 - */ - ifstream inf(filename); - if(!inf.is_open()){ - return false; - } - cerr << "Reading fertility table from " << filename << "\n"; - if(!inf){ - cerr << "\nERROR: Cannot open " << filename <<"\n"; - return false; - } - - VALTYPE prob; - WordIndex tok, i; - int nFert=0; - while(!inf.eof()){ - nFert++; - inf >> ws >> tok; - if (tok > MAX_VOCAB_SIZE){ - cerr << "NTables:readNTable(): unrecognized token id: " << tok - <<'\n'; - exit(-1); - } - for(i = 0; i < MAX_FERTILITY; i++){ - inf >> ws >> prob; - getRef(tok, i)=prob; - } - } - cerr << "Read " << nFert << " entries in fertility table.\n"; - inf.close(); - return true; -} - -template <class VALTYPE> -bool nmodel<VALTYPE>::merge(nmodel<VALTYPE>& n,int noEW, const Vector<WordEntry>& evlist){ - /* This function reads the n table from a file. - Each line is of the format: source_word_id p0 p1 p2 ... pn - This is the inverse operation of the printTable function. - NAS, 7/11/99 - */ - - - VALTYPE p ; - WordIndex k, i ; - for(i=1; int(i) < noEW; i++){ - if (evlist[i].freq > 0){ - for( k=0; k < MAX_FERTILITY; k++){ - p = n.getValue(i, k); - getRef(i,k)+=p; - } - } - } - return true; -} - -template <class VALTYPE> -bool nmodel<VALTYPE>::readAugNTable(const char *filename){ - /* This function reads the n table from a file. - Each line is of the format: source_word_id p0 p1 p2 ... pn - This is the inverse operation of the printTable function. - NAS, 7/11/99 - */ - ifstream inf(filename); - if(!inf.is_open()){ - return false; - } - cerr << "Reading fertility table from " << filename << "\n"; - if(!inf){ - cerr << "\nERROR: Cannot open " << filename <<"\n"; - return false; - } - - VALTYPE prob; - WordIndex tok, i; - int nFert=0; - while(!inf.eof()){ - nFert++; - inf >> ws >> tok; - if (tok > MAX_VOCAB_SIZE){ - cerr << "NTables:readNTable(): unrecognized token id: " << tok - <<'\n'; - exit(-1); - } - for(i = 0; i < MAX_FERTILITY; i++){ - inf >> ws >> prob; - getRef(tok, i)+=prob; - } - } - cerr << "Read " << nFert << " entries in fertility table.\n"; - inf.close(); - return true; -} - -template class nmodel<COUNT>; -//template class nmodel<PROB>; diff --git a/mgizapp/src/NTables.h b/mgizapp/src/NTables.h deleted file mode 100644 index 90d1b3d..0000000 --- a/mgizapp/src/NTables.h +++ /dev/null @@ -1,145 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#ifndef _ntables_h -#define _ntables_h 1 -#include "Array2.h" -#include "Vector.h" -#include <assert.h> -#include "defs.h" -#include "vocab.h" -#include "myassert.h" -#include "Globals.h" -#include "syncObj.h" - -extern double NTablesFactorGraphemes, NTablesFactorGeneral; - -template<class VALTYPE> class nmodel { -private: - Array2<VALTYPE, Vector<VALTYPE> > ntab; -public: - nmodel(int maxw, int maxn) : - ntab(maxw, maxn, 0.0) { - } - VALTYPE getValue(int w, unsigned int n) const { - massert(w!=0); - if (n>=ntab.getLen2()) - return 0.0; - else - return max(ntab(w, n), VALTYPE(PROB_SMOOTH)); - } -protected: - inline VALTYPE&getRef(int w, int n) { - //massert(w!=0); - return ntab(w, n); - }; - Mutex lock; -public: - inline void addValue(int w , int n,const VALTYPE& t){lock.lock();ntab(w,n)+=t;lock.unlock();}; -public: - template<class COUNT> void normalize(nmodel<COUNT>&write, - const Vector<WordEntry>* _evlist) const { - int h1=ntab.getLen1(), h2=ntab.getLen2(); - int nParams=0; - if (_evlist&&(NTablesFactorGraphemes||NTablesFactorGeneral)) { - size_t maxlen=0; - const Vector<WordEntry>&evlist=*_evlist; - for (unsigned int i=1; i<evlist.size(); i++) - maxlen=max(maxlen, evlist[i].word.length()); - Array2<COUNT,Vector<COUNT> > counts(maxlen+1, MAX_FERTILITY+1, 0.0); - Vector<COUNT> nprob_general(MAX_FERTILITY+1,0.0); - for (unsigned int i=1; i<min((unsigned int)h1, - (unsigned int)evlist.size()); i++) { - int l=evlist[i].word.length(); - for (int k=0; k<h2; k++) { - counts(l, k)+=getValue(i, k); - nprob_general[k]+=getValue(i, k); - } - } - COUNT sum2=0; - for (unsigned int i=1; i<maxlen+1; i++) { - COUNT sum=0.0; - for (int k=0; k<h2; k++) - sum+=counts(i, k); - sum2+=sum; - if (sum) { - double average=0.0; - //cerr << "l: " << i << " " << sum << " "; - for (int k=0; k<h2; k++) { - counts(i, k)/=sum; - //cerr << counts(i,k) << ' '; - average+=k*counts(i, k); - } - //cerr << "avg: " << average << endl; - //cerr << '\n'; - } - } - for (unsigned int k=0; k<nprob_general.size(); k++) - nprob_general[k]/=sum2; - - for (int i=1; i<h1; i++) { - int l=-1; - if ((unsigned int)i<evlist.size()) - l=evlist[i].word.length(); - COUNT sum=0.0; - for (int k=0; k<h2; k++) - sum+=getValue(i, k)+((l==-1) ? 0.0 : (counts(l, k) - *NTablesFactorGraphemes)) + NTablesFactorGeneral - *nprob_general[k]; - assert(sum); - for (int k=0; k<h2; k++) { - write.getRef(i, k)=(getValue(i, k)+((l==-1) ? 0.0 - : (counts(l, k)*NTablesFactorGraphemes)))/sum - + NTablesFactorGeneral*nprob_general[k]; - nParams++; - } - } - } else - for (int i=1; i<h1; i++) { - COUNT sum=0.0; - for (int k=0; k<h2; k++) - sum+=getValue(i, k); - assert(sum); - for (int k=0; k<h2; k++) { - write.getRef(i, k)=getValue(i, k)/sum; - nParams++; - } - } - cerr << "NTable contains " << nParams << " parameter.\n"; - } - - bool merge(nmodel<VALTYPE>& n, int noEW, const Vector<WordEntry>& evlist); - void clear() { - int h1=ntab.getLen1(), h2=ntab.getLen2(); - for (int i=0; i<h1; i++) - for (int k=0; k<h2; k++) - ntab(i, k)=0; - } - void printNTable(int noEW, const char* filename, - const Vector<WordEntry>& evlist, bool) const; - void printRealNTable(int noEW, const char* filename, - const Vector<WordEntry>& evlist, bool) const; - bool readAugNTable(const char *filename); - bool readNTable(const char *filename); - -}; - -#endif diff --git a/mgizapp/src/Parameter.cpp b/mgizapp/src/Parameter.cpp deleted file mode 100644 index c313a16..0000000 --- a/mgizapp/src/Parameter.cpp +++ /dev/null @@ -1,144 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "Parameter.h" -#include "fstream" -#include "unistd.h" -#include <strstream> - - -bool absolutePathNames=0; -string ParameterPathPrefix; -bool ParameterChangedFlag=0; - -bool writeParameters(ofstream&of,const ParSet&parset,int level) -{ - if(!of)return 0; - for(ParSet::const_iterator i=parset.begin();i!=parset.end();++i) - { - if(((*i)->getLevel()==level||level==-1)&&(*i)->onlyCopy==0) - { - ostrstream os; - (*i)->printValue(os); - os << ends; - string s(os.str()); - of << (*i)->getString() << " "; - if( absolutePathNames&&(*i)->isFilename()&&s.length()&&s[0]!='/' ) - { - char path[1024]; - getcwd(path,1024); - of << path << '/'; - } - if( ParameterPathPrefix.length()&&(*i)->isFilename()&&s.length()&&s[0]!='/' ) - of << ParameterPathPrefix << '/'; - (*i)->printValue(of); - of << endl; - } - } - return 1; -} - -bool readParameters(ifstream&f,const ParSet&parset,int verb,int level) -{ - string s; - if(!f)return 0; - while(getline(f,s)) - { - istrstream eingabe(s.c_str()); - string s1,s2; - eingabe>>s1>>s2; - if(makeSetCommand(s1,s2,parset,verb,level)==0) - cerr << "ERROR: could not set: (C) " << s1 << " " << s2 << endl; - } - return 1; -} - - -bool makeSetCommand(string _s1,string s2,const ParSet&parset,int verb,int level) -{ - ParPtr anf; - int anfset=0; - string s1=simpleString(_s1); - for(ParSet::const_iterator i=parset.begin();i!=parset.end();++i) - { - if( *(*i)==s1 ) - { - if( level==-1 || level==(*i)->getLevel() ) - (*i)->setParameter(s2,verb); - else if(verb>1) - cerr << "ERROR: Could not set: (A) " << s1 << " " << s2 << " " << level << " " << (*i)->getLevel() << endl; - return 1; - } - else if( (*i)->getString().substr(0,s1.length())==s1 ) - { - anf=(*i);anfset++; - } - } - if(anfset==1) - { - if( level==-1 || level==anf->getLevel() ) - anf->setParameter(s2,verb); - else if( verb>1 ) - cerr << "ERROR: Could not set: (B) " << s1 << " " << s2 << " " << level << " " << anf->getLevel() << endl; - return 1; - } - if( anfset>1 ) - cerr << "ERROR: ambiguous parameter '" << s1 << "'.\n"; - if( anfset==0 ) - cerr << "ERROR: parameter '" << s1 << "' does not exist.\n"; - return 0; -} - -ostream& printPars(ostream&of,const ParSet&parset,int level) -{ - if(!of)return of; - for(ParSet::const_iterator i=parset.begin();i!=parset.end();++i) - { - if(((*i)->getLevel()==level||level==-1)&&(*i)->onlyCopy==0) - { - (*i)->printAt(of); - of << endl; - } - } - return of; -} - -string simpleString(const string s) -{ - string k; - for(unsigned int i=0;i<s.length();++i) - { - char c[2]; - c[0]=tolower(s[i]); - c[1]=0; - if( (c[0]>='a'&&c[0]<='z')||(c[0]>='0'&&c[0]<='9') ) - k += c; - } - return k; -} - - -ParSet&getGlobalParSet() -{ - static ParSet x; - return x; -} diff --git a/mgizapp/src/Parameter.h b/mgizapp/src/Parameter.h deleted file mode 100644 index 8429fda..0000000 --- a/mgizapp/src/Parameter.h +++ /dev/null @@ -1,200 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef PARAMETER_H_DEFINED -#define PARAMETER_H_DEFINED - -#include "mystl.h" -#include <set> -#include "Pointer.h" -#include <string> -#include "Globals.h" -#include <fstream> -#include <string.h> - -inline unsigned int mConvert(const string&s,unsigned int &i) -{ - if( strcasecmp(s.c_str(),"yes")==0 || strcasecmp(s.c_str(),"y")==0 || strcasecmp(s.c_str(),"true")==0 || strcasecmp(s.c_str(),"t")==0 ) { cerr << "TRUE\n";return i=1; } - if( strcasecmp(s.c_str(),"no")==0 || strcasecmp(s.c_str(),"n")==0 || strcasecmp(s.c_str(),"false")==0 || strcasecmp(s.c_str(),"f")==0 ) { cerr << "FALSE\n";return i=0;} - return i=atoi(s.c_str()); -} -inline int mConvert(const string&s,int &i){ - if( strcasecmp(s.c_str(),"yes")==0 || strcasecmp(s.c_str(),"y")==0 || strcasecmp(s.c_str(),"true")==0 || strcasecmp(s.c_str(),"t")==0 ) { cerr << "TRUE\n";return i=1;} - if( strcasecmp(s.c_str(),"no")==0 || strcasecmp(s.c_str(),"n")==0 || strcasecmp(s.c_str(),"false")==0 || strcasecmp(s.c_str(),"f")==0 ) { cerr << "FALSE\n";return i=0;} - return i=atoi(s.c_str()); -} -inline double mConvert(const string&s,double &d) { return d=atof(s.c_str()); } -inline double mConvert(const string&s,float &d) { return d=atof(s.c_str()); } -inline string mConvert(const string&s,string&n) { return n=s; } -inline bool mConvert(const string&s,bool&n) { - if( strcasecmp(s.c_str(),"yes")==0 || strcasecmp(s.c_str(),"y")==0 || strcasecmp(s.c_str(),"true")==0 || strcasecmp(s.c_str(),"t")==0 ) { cerr << "TRUE\n";return n=1;} - if( strcasecmp(s.c_str(),"no")==0 || strcasecmp(s.c_str(),"n")==0 || strcasecmp(s.c_str(),"false")==0 || strcasecmp(s.c_str(),"f")==0 ) { cerr << "FALSE\n";return n=0;} - return n=atoi(s.c_str()); -} -inline short mConvert(const string&s,short&n) { - if( strcasecmp(s.c_str(),"yes")==0 || strcasecmp(s.c_str(),"y")==0 || strcasecmp(s.c_str(),"true")==0 || strcasecmp(s.c_str(),"t")==0 ) { cerr << "TRUE\n";return n=1;} - if( strcasecmp(s.c_str(),"no")==0 || strcasecmp(s.c_str(),"n")==0 || strcasecmp(s.c_str(),"false")==0 || strcasecmp(s.c_str(),"f")==0 ) { cerr << "FALSE\n";return n=0;} - return n=atoi(s.c_str()); -} -inline unsigned short mConvert(const string&s,unsigned short&n) { - if( strcasecmp(s.c_str(),"yes")==0 || strcasecmp(s.c_str(),"y")==0 || strcasecmp(s.c_str(),"true")==0 || strcasecmp(s.c_str(),"t")==0 ) { cerr << "TRUE\n";return n=1;} - if( strcasecmp(s.c_str(),"no")==0 || strcasecmp(s.c_str(),"n")==0 || strcasecmp(s.c_str(),"false")==0 || strcasecmp(s.c_str(),"f")==0 ) { cerr << "FALSE\n";return n=0;} - return n=atoi(s.c_str()); -} - -string simpleString(const string s); - -inline int Hashstring(const string& s) -{ - int sum=0; - string::const_iterator i=s.begin(),end=s.end(); - for(;i!=end;i++)sum=5*sum+(*i); - return sum; -} - -class _Parameter -{ - protected: - string name; - bool *ifChanged; - string description; - int level; - bool filename; - public: - int onlyCopy; - _Parameter(string n,bool&b,string desc,int _level,bool _onlyCopy) - : name(simpleString(n)),ifChanged(&b),description(desc),level(_level),filename(0),onlyCopy(_onlyCopy) {} - virtual ~_Parameter(){}; - bool operator==(const string&s)const - { return name== simpleString(s); } - void setChanged() - { *ifChanged=true; } - virtual bool setParameter(string s2,int)=0; - virtual ostream&printAt(ostream&out)=0; - virtual ostream&printValue(ostream&out)=0; - const string&getString() const { return name; } - int getLevel() const { return level;} - bool isFilename() { return filename;} - void setFilename(bool x=1) { filename=x;} - friend bool operator==(const _Parameter&a,const _Parameter&b) - { return a.name==b.name; } - friend bool operator<(const _Parameter&a,const _Parameter&b) - { return a.name<b.name; } - friend int Hash(const _Parameter&aaa) - { return Hashstring(aaa.name); } - friend ostream&operator<<(ostream&out,const _Parameter&p) - { return out<<"Parameter: "<<p.name <<endl;} -}; - -template<class T> -class Parameter : public _Parameter -{ - private: - T*t; - public: - Parameter(string n,bool&b,string desc,T&_t,int level=0,bool onlyCopy=0) - : _Parameter(n,b,desc,level,onlyCopy),t(&_t) {} - virtual ~Parameter(){} - virtual bool setParameter(string s2,int verb) - { - T x; - if( !(*t==mConvert(s2,x))) - { - bool printedFirst=0; - if( verb>1 ) - { - cout << "Parameter '"<<name <<"' changed from '"<<*t<<"' to '"; - printedFirst=1; - } - mConvert(s2,*t); - if( printedFirst ) - cout << *t <<"'\n"; - setChanged(); - return 1; - } - return 0; - } - virtual ostream&printAt(ostream&out) - {return out << name << " = " << *t << " (" << description << ")";} - virtual ostream&printValue(ostream&out) - {return out << *t;} -}; - -typedef MP<_Parameter> ParPtr; - -class ParSet : public set<ParPtr> -{ - public: - void insert(const ParPtr&x) - { - if( count(x)!=0 ) - cerr << "ERROR: element " << x->getString() << " already inserted.\n"; - set<ParPtr>::insert(x); - } -}; - -bool makeSetCommand(string s1,string s2,const ParSet&pars,int verb=1,int level= -1); -ostream&printPars(ostream&out,const ParSet&pars,int level=-1); -bool writeParameters(ofstream&of,const ParSet&parset,int level=0); -bool readParameters(ifstream&f,const ParSet&parset,int verb=2,int level=0); -ParSet&getGlobalParSet(); -extern bool ParameterChangedFlag; -template<class T>const T&addGlobalParameter(const char *name,const char *description,int level,T*adr,const T&init) -{ - *adr=init; - getGlobalParSet().insert(new Parameter<T>(name,ParameterChangedFlag,description,*adr,level)); - return init; -} -template<class T>const T&addGlobalParameter(const char *name,const char *name2,const char *description,int level,T*adr,const T&init) -{ - *adr=init; - getGlobalParSet().insert(new Parameter<T>(name,ParameterChangedFlag,description,*adr,level)); - getGlobalParSet().insert(new Parameter<T>(name2,ParameterChangedFlag,description,*adr,-1)); - return init; -} -template<class T>const T&addGlobalParameter(const char *name,const char *name2,const char *name3,const char *description,int level,T*adr,const T&init) -{ - *adr=init; - getGlobalParSet().insert(new Parameter<T>(name,ParameterChangedFlag,description,*adr,level)); - getGlobalParSet().insert(new Parameter<T>(name2,ParameterChangedFlag,description,*adr,-1)); - getGlobalParSet().insert(new Parameter<T>(name3,ParameterChangedFlag,description,*adr,-1)); - return init; -} -template<class T>const T&addGlobalParameter(const char *name,const char *name2,const char *name3,const char *name4,const char *description,int level,T*adr,const T&init) -{ - *adr=init; - getGlobalParSet().insert(new Parameter<T>(name,ParameterChangedFlag,description,*adr,level)); - getGlobalParSet().insert(new Parameter<T>(name2,ParameterChangedFlag,description,*adr,-1)); - getGlobalParSet().insert(new Parameter<T>(name3,ParameterChangedFlag,description,*adr,-1)); - getGlobalParSet().insert(new Parameter<T>(name4,ParameterChangedFlag,description,*adr,-1)); - return init; -} -void MakeParameterOptimizing(istream&file,string resultingParameters); - -#define GLOBAL_PARAMETER(TYP,VARNAME,NAME,DESCRIPTION,LEVEL,INIT) TYP VARNAME=addGlobalParameter< TYP >(NAME,DESCRIPTION,LEVEL,&VARNAME,INIT); -#define GLOBAL_PARAMETER2(TYP,VARNAME,NAME,NAME2,DESCRIPTION,LEVEL,INIT) TYP VARNAME=addGlobalParameter< TYP >(NAME,NAME2,DESCRIPTION,LEVEL,&VARNAME,INIT); -#define GLOBAL_PARAMETER3(TYP,VARNAME,NAME,NAME2,NAME3,DESCRIPTION,LEVEL,INIT) TYP VARNAME=addGlobalParameter< TYP >(NAME,NAME2,NAME3,DESCRIPTION,LEVEL,&VARNAME,INIT); -#define GLOBAL_PARAMETER4(TYP,VARNAME,NAME,NAME2,NAME3,NAME4,DESCRIPTION,LEVEL,INIT) TYP VARNAME=addGlobalParameter< TYP >(NAME,NAME2,NAME3,NAME4,DESCRIPTION,LEVEL,&VARNAME,INIT); - -void setParameterLevelName(unsigned int i,string x); - -#endif diff --git a/mgizapp/src/Perplexity.cpp b/mgizapp/src/Perplexity.cpp deleted file mode 100644 index faa1f81..0000000 --- a/mgizapp/src/Perplexity.cpp +++ /dev/null @@ -1,42 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* Perplexity.cc - * ============= - * Mike Jahr, 7/21/99 - * Machine Translation group, WS99 - * Center for Language and Speech Processing - * - * Last Modified by: Yaser Al-Onaizan, August 17, 1999 - * - * Simple class used to calculate cross entropy and perplexity - * of models. - */ - -#include "Perplexity.h" - -void Perplexity::record(string model){ - mutex.lock(); - modelid.push_back(model); - perp.push_back(perplexity()); - ce.push_back(cross_entropy()); - mutex.unlock(); -} diff --git a/mgizapp/src/Perplexity.h b/mgizapp/src/Perplexity.h deleted file mode 100644 index 45cc84f..0000000 --- a/mgizapp/src/Perplexity.h +++ /dev/null @@ -1,115 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* Perplexity.h - * ============ - * Mike Jahr, 7/15/99 - * Machine Translation group, WS99 - * Center for Language and Speech Processing - * - * Last Modified by: Yaser Al-Onaizan, August 17, 1999 - * - * Simple class used to calculate cross entropy and perplexity - * of models. - */ - -#ifndef _PERPLEXITY_H -#define _PERPLEXITY_H - -#include <math.h> -#include <fstream> -#include "Vector.h" -#include "defs.h" -#include "Array2.h" -#include "Globals.h" -#include "syncObj.h" - -#define CROSS_ENTROPY_BASE 2 - -class Perplexity { - private: - double sum; - double wc; - Array2<double, Vector<double> > *E_M_L; - Vector<string> modelid; - Vector<double > perp; - Vector<double > ce; - Vector<string> name ; - Mutex mutex; - public: - ~Perplexity() { delete E_M_L;} - Perplexity() { - E_M_L = new Array2<double, Vector<double> >(MAX_SENTENCE_LENGTH,MAX_SENTENCE_LENGTH); - unsigned int l, m ; - Vector<double> fact(MAX_SENTENCE_LENGTH, 1.0); - for (m = 2 ; m < MAX_SENTENCE_LENGTH ; m++) - fact[m] = fact[m-1] * m ; - for (m = 1 ; m < MAX_SENTENCE_LENGTH ; m++) - for (l = 1 ; l < MAX_SENTENCE_LENGTH ; l++) { - (*E_M_L)(l, m) = log (pow((LAMBDA * l), double(m)) * exp(-LAMBDA * double(l)) / - (fact[m])) ; - } - sum = 0 ; - wc = 0; - perp.clear(); - ce.clear(); - name.clear(); - } - inline void clear() { - mutex.lock(); - sum = 0 ; - wc = 0 ; - mutex.unlock(); - } - size_t size() const {return(min(perp.size(), ce.size()));} - inline void addFactor(const double p, const double count, const int l, - const int m,bool withPoisson) { - mutex.lock(); - wc += count * m ; // number of french words - sum += count * ( (withPoisson?((*E_M_L)(l, m)):0.0) + p) ; - mutex.unlock(); - } - - inline double perplexity() const { - return exp( -1*sum / wc); - } - - inline double cross_entropy() const { - return (-1.0*sum / (log(double(CROSS_ENTROPY_BASE)) * wc)); - } - - inline double word_count() const { - return wc; - } - - inline double getSum() const { - return sum ; - } - - void record(string model); - - friend void generatePerplexityReport(const Perplexity&, const Perplexity&, - const Perplexity&, const Perplexity&, - ostream&, int, int, bool); -}; - - -#endif diff --git a/mgizapp/src/Pointer.h b/mgizapp/src/Pointer.h deleted file mode 100644 index 58de60c..0000000 --- a/mgizapp/src/Pointer.h +++ /dev/null @@ -1,175 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef HEADER_Pointer_DEFINED -#define HEADER_Pointer_DEFINED - -#include <assert.h> -#include <iostream> - -template<class T> -class SmartPointer -{ - protected: - T*p; - public: - SmartPointer(T*_p=0) - : p(_p) {} - inline T&operator*() const - {return *p;} - inline T*operator->() const - {return p;} - inline operator bool() const - {return p!=0;} - inline T*ptr() const - { return p; } -}; -template<class T> inline ostream &operator<<(ostream&out,const SmartPointer<T>&s) -{if( s.ptr() )return out << *s;else return out <<"nullpointer";} - - -template<class T> -class SmartPointerConst -{ - protected: - const T*p; - public: - SmartPointerConst(const T*_p=0) - : p(_p) {} - inline const T&operator*() const - {return *p;} - inline const T*operator->() const - {return p;} - inline operator bool() const - {return p!=0;} - inline const T*ptr() const - { return p; } -}; -template<class T> inline ostream &operator<<(ostream&out,const SmartPointerConst<T>&s) -{if( s.ptr() )return out << *s;else return out <<"nullpointer";} - -template <class T> -class UP : public SmartPointer<T> -{ - public: - UP(T*_p=0) - : SmartPointer<T>(_p) {} -}; -template<class T> inline bool operator==(const UP<T>&s1,const UP<T>&s2) -{return s1.ptr()==s2.ptr();} -template<class T> inline bool operator<(const UP<T>&s1,const UP<T>&s2) -{return s1.ptr() < s2.ptr();} -template<class T> inline int Hash(const UP<T> &wp) -{if(wp.ptr())return Hash(*wp);else return 0;} - - -template <class T> -class UPConst : public SmartPointerConst<T> -{ - public: - UPConst(const T*_p=0) - : SmartPointerConst<T>(_p) {} -}; -template<class T> inline bool operator==(const UPConst<T>&s1,const UPConst<T>&s2) -{return s1.ptr()==s2.ptr();} -template<class T> inline bool operator<(const UPConst<T>&s1,const UPConst<T>&s2) -{return s1.ptr()<s2.ptr();} -template<class T> inline int Hash(const UPConst<T> &wp) -{if(wp.ptr())return Hash(*wp);else return 0;} - - -template <class T> -class MP : public SmartPointer<T> -{ - public: - MP(T*_p=0) - : SmartPointer<T>(_p) {} -}; -template <class T> inline bool operator==(const MP<T>&s1,const MP<T>&s2) -{assert(s1);assert(s2);return *s1==*s2;} -template <class T> inline bool operator<(const MP<T>&s1,const MP<T>&s2) -{assert(s1);assert(s2);return *s1 < *s2;} -template <class T> inline int Hash(const MP<T> &wp) -{if(wp.ptr())return Hash(*wp);else return 0;} - - -template <class T> -class MPConst : public SmartPointerConst<T> -{ - public: - MPConst(const T*_p=0) - : SmartPointerConst<T>(_p) {} -}; -template <class T> inline bool operator==(const MPConst<T>&s1,const MPConst<T>&s2) -{assert(s1);assert(s2);return *s1== *s2;} -template <class T> inline bool operator<(const MPConst<T>&s1,const MPConst<T>&s2) -{assert(s1);assert(s2);return *s1 < *s2;} -template <class T> inline int Hash(const MPConst<T> &wp) -{if(wp.ptr())return Hash(*wp);else return 0;} - - -template <class T> -class DELP : public SmartPointer<T> -{ - private: - DELP(const DELP<T>&x); - public: - const DELP<T>&operator=(DELP<T>&x) - { - delete this->p; - this->p=x.p;x.p=0; - return *this; - } - - ~DELP() - { delete this->p;this->p=0;} - DELP(T*_p=0) - : SmartPointer<T>(_p) {} - void set(T*_p) - { - delete this->p; - this->p=_p; - } - friend bool operator==(const DELP<T>&s1,const DELP<T>&s2) - { - return *(s1.p)== *(s2.p); - } - friend bool operator<(const DELP<T>&s1,const DELP<T>&s2) - { - return *(s1.p) < *(s2.p); - } - friend inline int Hash(const DELP<T> &wp) - { - if(wp.p) - return Hash(*wp.p); - else - return 0; - } -}; -#endif - - - - - - - diff --git a/mgizapp/src/SetArray.cpp b/mgizapp/src/SetArray.cpp deleted file mode 100644 index d819188..0000000 --- a/mgizapp/src/SetArray.cpp +++ /dev/null @@ -1,5 +0,0 @@ - -//#include "SetArray.h" - -#include "Parameter.h" - diff --git a/mgizapp/src/SetArray.h b/mgizapp/src/SetArray.h deleted file mode 100644 index 9c49239..0000000 --- a/mgizapp/src/SetArray.h +++ /dev/null @@ -1,159 +0,0 @@ -/* -Array of set, for fast access of dictionary, and most important, -be threadsafe -*/ - - -#ifndef __SET_ARRAY_H__ -#define __SET_ARRAY_H__ - -#include <map> -#include <vector> -#include "defs.h" -#include "vocab.h" -#include <stdio.h> -#include <stdlib.h> -#include <pthread.h> -#include "syncObj.h" - -template <class COUNT, class PROB> -class LpPair { -public: - COUNT count ; - PROB prob ; -public: // constructor - LpPair():count(0), prob(0){} ; - LpPair(COUNT c, PROB p):count(c), prob(p){}; -} ; - - - - -template <class COUNT, class PROB> -class SetArray{ -public: - typedef LpPair<COUNT, PROB> CPPair; -protected: - - /*Information stores here*/ - std::vector<std::map<size_t,CPPair> > store; - std::vector<Mutex> muts; - size_t nEnglishWord; - size_t nFrenchWord; - void _init(){ - store.resize(nEnglishWord); - muts.resize(nFrenchWord); - } - -public: - - /* - Get reference, not creating - */ - CPPair* find(size_t fi, size_t si){ - /*HERE: lock, unlock after we get the pointer*/ - muts[fi].lock(); - /* Sync-ed */ - std::map<size_t,CPPair>& w = store[fi]; - typename std::map<size_t,CPPair>::iterator it = w.find((size_t)si); - CPPair* q = ( it!=store[fi].end() ? &(it->second) : 0); -// for(it = w.begin(); it!=w.end();it++){ - // cout << it->first << endl; - // } - /* End Synced*/ - muts[fi].unlock(); - return q; - }; - - /* - Get reference, creating it - */ - inline CPPair& findRef(size_t fi, size_t si){ - std::map<size_t,CPPair> &x = store[fi]; - muts[fi].lock(); - /* Sync-ed */ - CPPair& ref= x[si]; - /* End Synced */ - muts[fi].unlock(); - }; - - - void insert(size_t fi, size_t si, COUNT count = 0, PROB prob = 0){ - muts[fi].lock(); - /*Syced*/ - std::map<size_t,CPPair> &x = store[fi]; - CPPair& v= x[si]; - v.count = count; - v.prob = prob; - muts[fi].unlock(); - } - - void incCount(size_t e, size_t f, COUNT inc) - // increments the count of the given word pair. if the pair does not exist, - // it creates it with the given value. - { - if( inc ){ - std::map<size_t,CPPair> &x = store[e]; - muts[e].lock(); - CPPair& ref= x[f]; - ref.count += inc; - muts[e].unlock(); - } - } - - PROB getProb(size_t e, size_t f) const - // read probability value for P(fj/ei) from the hash table - // if pair does not exist, return floor value PROB_SMOOTH - { - muts[e].lock(); - typename std::map<size_t,CPPair >::const_iterator it = store[e].find(f); - PROB b; - if(it == store[e].end()) - b = PROB_SMOOTH; - else - b=max((it->second).prob, PROB_SMOOTH); - muts[e].unlock(); - return b; - } - - COUNT getCount(size_t e, size_t f) const - /* read count value for entry pair (fj/ei) from the hash table */ - { - muts[e].lock(); - typename std::map<size_t,CPPair >::const_iterator it = store[e].find(f); - COUNT c; - if(it == store[e].end()) - c = 0; - else - c = ((*it).second).count; - muts[e].unlock(); - } - - void erase(size_t e, size_t f) - // In: a source and a target token ids. - // removes the entry with that pair from table - { - muts[e].lock(); - store[e].erase(f); - muts[e].unlock(); - }; - - inline void setNumberOfEnlish(size_t e){nEnglishWord=e;_init();}; - inline void setNumberOfFrench(size_t f){nFrenchWord = f;}; - - const std::map<size_t,CPPair>& getMap(size_t i) const{ - return store[i]; - } - - std::map<size_t,CPPair>& getMap1(size_t i){ - return store[i]; - } - - SetArray(size_t e, size_t f): nEnglishWord(e), nFrenchWord(f){ - _init(); - } -}; - - - -#endif diff --git a/mgizapp/src/TTables.cpp b/mgizapp/src/TTables.cpp deleted file mode 100644 index 1e4f3b6..0000000 --- a/mgizapp/src/TTables.cpp +++ /dev/null @@ -1,177 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "TTables.h" -#include "Parameter.h" -#include<iostream> -#include <fstream> - -GLOBAL_PARAMETER(float,PROB_CUTOFF,"PROB CUTOFF","Probability cutoff threshold for lexicon probabilities",PARLEV_OPTHEUR,1e-7); -GLOBAL_PARAMETER2(float, COUNTINCREASE_CUTOFF,"COUNTINCREASE CUTOFF","countCutoff","Counts increment cutoff threshold",PARLEV_OPTHEUR,1e-6); - - -/* ------------------ Method Definiotns for Class tmodel --------------------*/ - - -// To output to STDOUT, submit filename as NULL -template <class COUNT, class PROB> -void tmodel<COUNT, PROB>::printCountTable(const char *filename, - const Vector<WordEntry>& evlist, - const Vector<WordEntry>& fvlist, - const bool actual) const -{ - ostream *tof; - - if(filename) - tof = new ofstream(filename); - else - tof = & cout; - - ostream &of = *tof; - /* for(unsigned int i=0;i<es.size()-1;++i) - for(unsigned int j=es[i];j<es[i+1];++j) - { - const CPPair&x=fs[j].second; - WordIndex e=i,f=fs[j].first; - if( actual ) - of << evlist[e].word << ' ' << fvlist[f].word << ' ' << x.prob << '\n'; - else - of << e << ' ' << f << ' ' << x.prob << '\n'; - }*/ - for(unsigned int i=0;i<lexmat.size();++i){ - if( lexmat[i] ){ - for(unsigned int j=0;j<lexmat[i]->size();++j) - { - const CPPair&x=(*lexmat[i])[j].second; - WordIndex e=i,f=(*lexmat[i])[j].first; - if( x.prob>MINCOUNTINCREASE ){ - if( actual ){ - of << evlist[e].word << ' ' << fvlist[f].word << ' ' << x.count << '\n'; - }else{ - of << e << ' ' << f << ' ' << x.count << '\n'; - } - } - } - } - } - - if(filename){ - ((ofstream*)tof)->close(); - delete tof; - } -} - -template <class COUNT, class PROB> -void tmodel<COUNT, PROB>::printProbTable(const char *filename, - const Vector<WordEntry>& evlist, - const Vector<WordEntry>& fvlist, - const bool actual) const -{ - ofstream of(filename); - /* for(unsigned int i=0;i<es.size()-1;++i) - for(unsigned int j=es[i];j<es[i+1];++j) - { - const CPPair&x=fs[j].second; - WordIndex e=i,f=fs[j].first; - if( actual ) - of << evlist[e].word << ' ' << fvlist[f].word << ' ' << x.prob << '\n'; - else - of << e << ' ' << f << ' ' << x.prob << '\n'; - }*/ - for(unsigned int i=0;i<lexmat.size();++i){ - if( lexmat[i] ){ - for(unsigned int j=0;j<lexmat[i]->size();++j) - { - const CPPair&x=(*lexmat[i])[j].second; - WordIndex e=i,f=(*lexmat[i])[j].first; - if( x.prob>PROB_SMOOTH ){ - if( actual ){ - of << evlist[e].word << ' ' << fvlist[f].word << ' ' << x.prob << '\n'; - }else{ - of << e << ' ' << f << ' ' << x.prob << '\n'; - } - } - } - } - } -} - -template <class COUNT, class PROB> -void tmodel<COUNT, PROB>::printProbTableInverse(const char *, - const Vector<WordEntry>&, - const Vector<WordEntry>&, - const double, - const double, - const bool ) const -{ -} -template <class COUNT, class PROB> -void tmodel<COUNT, PROB>::normalizeTable(const vcbList&, const vcbList&, int) -{ - for(unsigned int i=0;i<lexmat.size();++i){ - double c=0.0; - if( lexmat[i] ){ - unsigned int lSize=lexmat[i]->size(); - for(unsigned int j=0;j<lSize;++j) - c+=(*lexmat[i])[j].second.count; - for(unsigned int j=0;j<lSize;++j) { - if( c==0 ) - (*lexmat[i])[j].second.prob=1.0/(lSize); - else - (*lexmat[i])[j].second.prob=(*lexmat[i])[j].second.count/c; - (*lexmat[i])[j].second.count=0; - } - } - } -} - -template <class COUNT, class PROB> -bool tmodel<COUNT, PROB>::readProbTable(const char *filename){ - /* This function reads the t table from a file. - Each line is of the format: source_word_id target_word_id p(target_word|source_word) - This is the inverse operation of the printTable function. - NAS, 7/11/99 - */ - ifstream inf(filename); - cerr << "Reading t prob. table from " << filename << "\n"; - if (!inf) { - cerr << "\nERROR: Cannot open " << filename << "\n"; - return false; - } - WordIndex src_id, trg_id; - PROB prob; - int nEntry=0; - while (inf >> src_id >> trg_id >> prob) { - insert(src_id, trg_id, 0.0, prob); - nEntry++; - } - cerr << "Read " << nEntry << " entries in prob. table.\n"; - return true; -} - - - -template class tmodel<COUNT,PROB> ; - -/* ---------------- End of Method Definitions of class tmodel ---------------*/ - - - diff --git a/mgizapp/src/TTables.h b/mgizapp/src/TTables.h deleted file mode 100644 index 2120ef6..0000000 --- a/mgizapp/src/TTables.h +++ /dev/null @@ -1,328 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/* --------------------------------------------------------------------------* - * * - * Module : TTables * - * * - * Prototypes File: TTables.h * - * * - * Objective: Defines clases and methods for handling I/O for Probability & * - * Count tables and also alignment tables * - *****************************************************************************/ - -#ifndef _ttables_h -#define _ttables_h 1 - - -#include "defs.h" -#include "vocab.h" - -#include <assert.h> - -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -#include "Vector.h" -#include <utility> -#include "syncObj.h" - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif - -#include <fstream> - -#include "Globals.h" - - -/* The tables defined in the following classes are defined as hash tables. For - example. the t-table is a hash function of a word pair; an alignment is - a hash function of a vector of integer numbers (sentence positions) and so - on */ - - -/*----------- Defnition of Hash Function for class tmodel ------- -----------*/ - -typedef pair<WordIndex, WordIndex> wordPairIds; - - -class hashpair : public unary_function< pair<WordIndex, WordIndex>, size_t > -{ -public: - size_t operator() (const pair<WordIndex, WordIndex>& key) const - { - return (size_t) MAX_W*key.first + key.second; /* hash function and it - is guarnteed to have - unique id for each - unique pair */ - } -}; - - - -/* ------------------ Class Prototype Definitions ---------------------------* - Class Name: tmodel - Objective: This defines the underlying data structur for t Tables and t - Count Tables. They are defined as a hash table. Each entry in the hash table - is the probability (P(fj/ei) ) or count collected for ( C(fj/ei)). The - probability and the count are represented as log integer probability as - defined by the class LogProb . - - This class is used to represents t Tables (probabiliity) and n (fertility - Tables and also their corresponding count tables . - - *---------------------------------------------------------------------------*/ - -//typedef float COUNT ; -//typedef LogProb PROB ; -template <class COUNT, class PROB> -class LpPair { -public: - COUNT count ; - PROB prob ; -public: // constructor - LpPair():count(0), prob(0){} ; - LpPair(COUNT c, PROB p):count(c), prob(p){}; -} ; - -template<class T> -T*mbinary_search(T*x,T*y,unsigned int val) -{ - if( y-x==0 ) - return 0; - if( x->first==val) - return x; - if( y-x<2 ) - return 0; - T*mid=x+(y-x)/2; - if( val < mid->first ) - return mbinary_search(x,mid,val); - else - return mbinary_search(mid,y,val); - -} - -template<class T> -const T*mbinary_search(const T*x,const T*y,unsigned int val) -{ - if( y-x==0 ) - return 0; - if( x->first==val) - return x; - if( y-x<2 ) - return 0; - const T*mid=x+(y-x)/2; - if( val < mid->first ) - return mbinary_search(x,mid,val); - else - return mbinary_search(mid,y,val); - -} - -template <class COUNT, class PROB> -class tmodel{ - typedef LpPair<COUNT, PROB> CPPair; -public: - bool recordDiff; - -public: - int noEnglishWords; // total number of unique source words - int noFrenchWords; // total number of unique target words - //vector<pair<unsigned int,CPPair> > fs; - //vector<unsigned int> es; - vector< vector<pair<unsigned int,CPPair> >* > lexmat; - vector< Mutex > mutex; - - void erase(WordIndex e, WordIndex f){ - CPPair *p=find(e,f); - if(p) - *p=CPPair(0,0); - }; - - CPPair*find(int e,int f){ - //pair<unsigned int,CPPair> *be=&(fs[0])+es[e]; - //pair<unsigned int,CPPair> *en=&(fs[0])+es[e+1]; - if(e>lexmat.size()||lexmat[e]==NULL){ - return NULL; - } - pair<unsigned int,CPPair> *be=&(*lexmat[e])[0]; - pair<unsigned int,CPPair> *en=&(*lexmat[e])[0]+(*lexmat[e]).size(); - pair<unsigned int,CPPair> *x= mbinary_search(be,en,f); - if( x==0 ){ - //cerr << "A:DID NOT FIND ENTRY: " << e << " " << f << '\n'; - //abort(); - return 0; - } - return &(x->second); - } - - const CPPair*find(int e,int f)const{ - const pair<unsigned int,CPPair> *be=&(*lexmat[e])[0]; - const pair<unsigned int,CPPair> *en=&(*lexmat[e])[0]+(*lexmat[e]).size(); - //const pair<unsigned int,CPPair> *be=&(fs[0])+es[e]; - //const pair<unsigned int,CPPair> *en=&(fs[0])+es[e+1]; - const pair<unsigned int,CPPair> *x= mbinary_search(be,en,f); - if( x==0 ){ - //cerr << "B:DID NOT FIND ENTRY: " << e << " " << f << '\n'; - //abort(); - return 0; - } - - return &(x->second); - } -public: - void insert(WordIndex e, WordIndex f, COUNT cval=0.0, PROB pval = 0.0){ - CPPair* found = find(e,f); - if(found) - *found=CPPair(cval,pval); - } - - CPPair*getPtr(int e,int f){return find(e,f);} - - tmodel(){}; - tmodel(const string&fn) { - recordDiff = false; - int count=0,count2=0; - ifstream infile2(fn.c_str()); - cerr << "Inputfile in " << fn << endl; - int e,f,olde=-1,oldf=-1; - pair<unsigned int,CPPair> cp; - vector< pair<unsigned int,CPPair> > cps; - while(infile2>>e>>f){ - cp.first=f; - assert(e>=olde); - assert(e>olde ||f>oldf); - if( e!=olde&&olde>=0 ){ - int oldsize=lexmat.size(); - lexmat.resize(olde+1); - for(unsigned int i=oldsize;i<lexmat.size();++i) - lexmat[i]=0; - lexmat[olde]=new vector< pair<unsigned int,CPPair> > (cps); - cps.clear(); - if( !((*lexmat[olde]).size()==(*lexmat[olde]).capacity()) ) - cerr << "eRROR: waste of memory: " << (*lexmat[olde]).size() << " " << (*lexmat[olde]).capacity() << endl; - count2+=lexmat[olde]->capacity(); - } - cps.push_back(cp); - olde=e; - oldf=f; - count++; - } - lexmat.resize(olde+1); - lexmat[olde]=new vector< pair<unsigned int,CPPair> > (cps); - count2+=lexmat[olde]->capacity(); - cout << "There are " << count << " " << count2 << " entries in table" << '\n'; - mutex.resize(lexmat.size()); - /* Create mutex */ - } - - - /* tmodel(const string&fn) - { - size_t count=0; - { - ifstream infile1(fn.c_str()); - if( !infile1 ) - { - cerr << "ERROR: can't read coocurrence file " << fn << '\n'; - abort(); - } - int e,f; - while(infile1>>e>>f) - count++; - } - cout << "There are " << count << " entries in table" << '\n'; - ifstream infile2(fn.c_str()); - fs.resize(count); - int e,f,olde=-1,oldf=-1; - pair<unsigned int,CPPair> cp; - count=0; - while(infile2>>e>>f) - { - assert(e>=olde); - assert(e>olde ||f>oldf); - if( e!=olde ) - { - es.resize(e+1); - for(unsigned int i=olde+1;int(i)<=e;++i) - es[i]=count; - } - cp.first=f; - assert(count<fs.size()); - fs[count]=cp; - //fs.push_back(cp); - olde=e; - oldf=f; - count++; - } - assert(count==fs.size()); - es.push_back(fs.size()); - cout << fs.size() << " " << count << " coocurrences read" << '\n'; - }*/ - - void incCount(WordIndex e, WordIndex f, COUNT inc) { - if( inc ){ - CPPair *p=find(e,f); - if( p ){ - mutex[e].lock(); - p->count += inc ; - mutex[e].unlock(); - } - } - } - - PROB getProb(WordIndex e, WordIndex f) const{ - const CPPair *p=find(e,f); - if( p ) - return max(p->prob, PROB_SMOOTH); - else - return PROB_SMOOTH; - } - - COUNT getCount(WordIndex e, WordIndex f) const - { - const CPPair *p=find(e,f); - if( p ) - return p->count; - else - return 0.0; - } - - void printProbTable(const char* filename, const Vector<WordEntry>&, const Vector<WordEntry>&,bool actual) const; - void printCountTable(const char* filename, const Vector<WordEntry>&, const Vector<WordEntry>&,bool actual) const; - void printProbTableInverse(const char *filename, - const Vector<WordEntry>& evlist, - const Vector<WordEntry>& fvlist, - const double eTotal, - const double fTotal, - const bool actual = false ) const; - void normalizeTable(const vcbList&engl, const vcbList&french, int iter=2); - bool readProbTable(const char *filename); - bool readSubSampledProbTable(const char* filename, std::set<WordIndex> &e, std::set<WordIndex> &f); -}; - -#endif diff --git a/mgizapp/src/Vector.h b/mgizapp/src/Vector.h deleted file mode 100644 index a48fd3e..0000000 --- a/mgizapp/src/Vector.h +++ /dev/null @@ -1,423 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/*-- -Vector: checked vector implementation - -Franz Josef Och (30/07/99) ---*/ -#ifndef ARRAY_H_DEFINED -#define ARRAY_H_DEFINED -#include "mystl.h" -#include <algorithm> -#include <string> -#include <utility> -#include <functional> -#include <assert.h> - - -#ifdef NDEBUG - -#include <vector> -#define Vector vector -template<class T> ostream& operator<<(ostream&o, const Vector<T>&a) -{ - o << "Vector(" << a.size() << "){ "; - for(unsigned int iii=0;iii<a.size();iii++) - o << " " << iii<< ": " << a[iii]<<" ;"; - return o << "}\n"; -} - -#else - -#define ARRAY_DEBUG -#define memo_del(a, b) -#define memo_new(a) - -template<class T> class Vector -{ -private: - T *p; - int realSize; - int maxWritten; - - void copy(T *a, const T *b, int n); - void copy(T *a, T *b, int n); - void _expand(); -public: - Vector() - : p(0), realSize(0), maxWritten(-1) - { -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY: " << this<<" "<<(void*)p << '\n'; -#endif - } - Vector(const Vector<T> &x) - : p(new T[x.maxWritten+1]), realSize(x.maxWritten+1), maxWritten(x.maxWritten) - { - memo_new(p); - copy(p, x.p, realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY copy: " << this << " " << realSize <<" "<<(void*)p<< '\n'; -#endif - } - explicit Vector(int n) - : p(new T[n]), realSize(n), maxWritten(n-1) - { - memo_new(p); -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY with parameter n: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - } - Vector(int n, const T&_init) - : p(new T[n]), realSize(n), maxWritten(n-1) - { - memo_new(p); - for(int iii=0;iii<n;iii++)p[iii]=_init; -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY with parameter n and init: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - } - - ~Vector() - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - delete [] p; - memo_del(p, 1); -#ifndef NDEBUG - p=0;realSize=-1;maxWritten=-1; -#endif - } - - Vector<T>& operator=(const Vector<T>&x) - { - if( this!= &x ) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - delete [] p; - memo_del(p, 1); - realSize = x.maxWritten+1; - maxWritten = x.maxWritten; - p = new T[realSize]; - memo_new(p); - copy(p, x.p, realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - } - return *this; - } - - Vector<T>& operator=(Vector<T>&x) - { - if( this!= &x ) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - delete [] p; - memo_del(p, 1); - realSize = x.maxWritten+1; - maxWritten = x.maxWritten; - p = new T[realSize]; - memo_new(p); - copy(p, x.p, realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - } - return *this; - } - - void allowAccess(int n) - { - while( realSize<=n ) - _expand(); - maxWritten=max(maxWritten, n); - assert( maxWritten<realSize ); - } - void resize(int n) - { - while( realSize<n ) - _expand(); - maxWritten=n-1; - } - void clear() - { - resize(0); - } - void reserve(int n) - { - int maxOld=maxWritten; - resize(n); - maxWritten=maxOld; - } - void sort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p, p+until); - } - void invsort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p, p+until, greater<T>()); - } - void init(int n, const T&_init) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of init: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - delete []p; - memo_del(p, 1); - p=new T[n]; - memo_new(p); - realSize=n; - maxWritten=n-1; - for(int iii=0;iii<n;iii++)p[iii]=_init; -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of init: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - } - inline unsigned int size() const - {assert( maxWritten<realSize ); - return maxWritten+1;} - inline int low() const - { return 0; } - inline int high() const - { return maxWritten; } - int findMax() const; - int findMin() const; - void errorAccess(int n) const; - inline T*getPointerToData(){return p;} - inline T*begin(){return p;} - inline T*end(){return p+maxWritten+1;} - inline T& operator[](int n) - { -#ifndef NDEBUG - if( n<0 || n>maxWritten ) - errorAccess(n); -#endif - return p[n]; - } - inline const T& operator[](int n) const - { -#ifndef NDEBUG - if(n<0 || n>maxWritten ) - errorAccess(n); -#endif - return p[n]; - } - inline const T& get(int n) const - { -#ifndef NDEBUG - if(n<0 || n>maxWritten ) - errorAccess(n); -#endif - return p[n]; - } - const T&top(int n=0) const - {return (*this)[maxWritten-n];} - T&top(int n=0) - {return (*this)[maxWritten-n];} - const T&back(int n=0) const - {return (*this)[maxWritten-n];} - T&back(int n=0) - {return (*this)[maxWritten-n];} - T&push_back(const T&x) - { - allowAccess(maxWritten+1); - (*this)[maxWritten]=x; - return top(); - } - bool writeTo(ostream&out) const - { - out << "Vector "; - out << size() << " "; - //out << a << '\n'; - for(int iv=0;iv<=maxWritten;iv++) - { - writeOb(out, (*this)[iv]); - out << '\n'; - } - return 1; - } - bool readFrom(istream&in) - { - string s; - if( !in ) - { - cerr << "ERROR(Vector): file cannot be opened.\n"; - return 0; - } - in >> s; - if( !(s=="Vector") ) - { - cerr << "ERROR(Vector): Vector!='"<<s<<"'\n"; - return 0; - } - int biggest; - in >> biggest; - // in >> a; - resize(biggest); - for(int iv=0;iv<size();iv++) - { - readOb(in, (*this)[iv]); - } - return 1; - } -}; - -template<class T> bool operator==(const Vector<T> &x, const Vector<T> &y) -{ - if( &x == &y ) - return 1; - else - { - if( y.size()!=x.size() ) - return 0; - else - { - for(unsigned int iii=0;iii<x.size();iii++) - if( !(x[iii]==y[iii]) ) - return 0; - return 1; - } - } -} -template<class T> bool operator!=(const Vector<T> &x, const Vector<T> &y) -{ - return !(x==y); -} - -template<class T> bool operator<(const Vector<T> &x, const Vector<T> &y) -{ - if( &x == &y ) - return 0; - else - { - if( y.size()<x.size() ) - return !(y<x); - for(int iii=0;iii<x.size();iii++) - { - assert( iii!=y.size() ); - if( x[iii]<y[iii] ) - return 1; - else if( y[iii]<x[iii] ) - return 0; - } - return x.size()!=y.size();//?? - } -} - - -template<class T> void Vector<T>:: errorAccess(int n) const -{ - cerr << "ERROR: Access to array element " << n - << " (" << maxWritten << ", " << realSize << ", " << (void*)p << ")\n"; - cout << "ERROR: Access to array element " << n - << " (" << maxWritten << ", " << realSize << ", " << (void*)p << ")\n"; - assert(0); -#ifndef DEBUG - abort(); -#endif -} - -template<class T> ostream& operator<<(ostream&o, const Vector<T>&a) -{ - o << "Vector(" << a.size() << "){ "; - for(unsigned int iii=0;iii<a.size();iii++) - o << " " << iii<< ": " << a[iii]<<" ;"; - return o << "}\n"; -} - -template<class T> istream& operator>>(istream&in, Vector<T>&) -{return in;} - -template<class T> int Hash(const Vector<T>&a) -{ - int n=0; - for(int iii=0;iii<a.size();iii++) - n+=Hash(a[iii])*(iii+1); - return n+a.size()*47; -} -template<class T> void Vector<T>::copy(T *aa, const T *bb, int n) -{ - for(int iii=0;iii<n;iii++) - aa[iii]=bb[iii]; -} -template<class T> void Vector<T>::copy(T *aa, T *bb, int n) -{ - for(int iii=0;iii<n;iii++) - aa[iii]=bb[iii]; -} - -template<class T> void Vector<T>::_expand() -{ -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of _expand: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif - T *oldp=p; - int oldsize=realSize; - realSize=realSize*2+1; - p=new T[realSize]; - memo_new(p); - copy(p, oldp, oldsize); - delete [] oldp; - memo_del(oldp, 1); -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of _expand: " << this << " " << realSize<<" "<<(void*)p << '\n'; -#endif -} - -template<class T> int Vector<T>::findMax() const -{ - if( size()==0 ) - return -1; - else - { - int maxPos=0; - for(int iii=1;iii<size();iii++) - if( (*this)[maxPos]<(*this)[iii] ) - maxPos=iii; - return maxPos; - } -} -template<class T> int Vector<T>::findMin() const -{ - if( size()==0 ) - return -1; - else - { - int minPos=0; - for(int iii=1;iii<size();iii++) - if( (*this)[iii]<(*this)[minPos] ) - minPos=iii; - return minPos; - } -} - -#endif - -#endif diff --git a/mgizapp/src/WordClasses.h b/mgizapp/src/WordClasses.h deleted file mode 100644 index 7992553..0000000 --- a/mgizapp/src/WordClasses.h +++ /dev/null @@ -1,103 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef WordClasses_h_DEFINED -#define WordClasses_h_DEFINED -#include <map> -#include <string> -#include <set> -#include "vocab.h" - -class WordClasses -{ - private: - map<string,string> Sw2c; - map<string,int> Sc2int; - Vector<string> Sint2c; - Vector<int> w2c; - unsigned int classes; - public: - WordClasses() - : classes(1) - { - Sint2c.push_back("0"); - Sc2int["0"]=0; - } - template<class MAPPER> bool read(istream&in,const MAPPER&m,const vcbList& vcb) - { - string sline; - int maxword=0; - int readWord=0, putWord=0; - while(getline(in,sline)) - { - readWord ++; - string word,wclass; - istrstream iline(sline.c_str()); - iline>>word>>wclass; - - if( !Sc2int.count(wclass) ) - { - Sc2int[wclass]=classes++; - Sint2c.push_back(wclass); - assert(classes==Sint2c.size()); - } - if(vcb.has_word(word)){ - maxword=max(m(word),maxword); - assert(Sw2c.count(word)==0); - Sw2c[word]=wclass; - putWord++; - } - } - w2c=Vector<int>(maxword+1,0); - for(map<string,string>::const_iterator i=Sw2c.begin();i!=Sw2c.end();++i) - w2c[m(i->first)]=Sc2int[i->second]; - cout << "Read classes: #words: " << maxword << " " << " #classes: "<< classes <<endl; - cout << "Actual number of read words: " << readWord << " stored words: " << putWord << endl; - return 1; - } - int getClass(int w)const - { - if(w>=0&&int(w)<int(w2c.size()) ) - return w2c[w]; - else - return 0; - } - int operator()(const string&x)const - { - if( Sc2int.count(x) ) - return Sc2int.find(x)->second; - else - { - cerr << "WARNING: class " << x << " not found.\n"; - return 0; - } - } - string classString(unsigned int cnr)const - { - if( cnr<Sint2c.size()) - return Sint2c[cnr]; - else - return string("0"); - } -}; - -#endif diff --git a/mgizapp/src/alignment.cpp b/mgizapp/src/alignment.cpp deleted file mode 100644 index 55a2e5c..0000000 --- a/mgizapp/src/alignment.cpp +++ /dev/null @@ -1,38 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/*-- -alignment: 'checked' alignment representation with automatic calculation - of fertilities -Franz Josef Och (30/07/99) ---*/ -#include "alignment.h" - -ostream&operator<<(ostream&out, const alignment&a) -{ - int m=a.a.size()-1,l=a.f.size()-1; - out << "AL(l:"<<l<<",m:"<<m<<")(a: "; - for(int j=1;j<=m;j++)out << a(j) << ' '; - out << ")(fert: "; - for(int i=0;i<=l;i++)out << a.fert(i) << ' '; - return out << ") c:"<<"\n"; -} - diff --git a/mgizapp/src/alignment.h b/mgizapp/src/alignment.h deleted file mode 100644 index 17774c6..0000000 --- a/mgizapp/src/alignment.h +++ /dev/null @@ -1,227 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/*-- -alignment: 'checked' alignment representation with autom. calc. of fertilities -Franz Josef Och (30/07/99) ---*/ -#ifndef alignment_h_fjo_defined -#define alignment_h_fjo_defined -#include "Vector.h" -#include <assert.h> -#include "defs.h" -#include "myassert.h" - -class al_struct -{ - public: - al_struct() - : prev(0),next(0){} - PositionIndex prev,next; -}; - - -class alignment -{ - private: - Vector<PositionIndex> a; - Vector<PositionIndex> positionSum,f; - public: - Vector<PositionIndex> als_i; - Vector<al_struct> als_j; - PositionIndex l,m; - alignment() - {} - alignment(PositionIndex _l, PositionIndex _m) - : a(_m+1, (PositionIndex)0), - positionSum(_l+1, (PositionIndex)0), f(_l+1, (PositionIndex)0), als_i(_l+1,0),als_j(_m+1),l(_l), m(_m) - { - f[0]=m; - for(PositionIndex j=1;j<=m;j++) - { - if( j>1 ) - als_j[j].prev= j-1; - if( j<m ) - als_j[j].next= j+1; - } - als_i[0]=1; - } - PositionIndex get_l()const - {return l;} - PositionIndex get_m()const - {return m;} - void doMove(int i,int j) - { - set(j,i); - } - void doSwap(int j1,int j2) - { - int aj1=a[j1],aj2=a[j2]; - set(j1,aj2); - set(j2,aj1); - } - void set(PositionIndex j, PositionIndex aj) - { - PositionIndex old_aj=a[j]; - massert(j<a.size());massert(aj<f.size()); - massert(old_aj<f.size());massert(f[old_aj]>0); - massert(j>0); - positionSum[old_aj]-=j; - // ausfuegen - PositionIndex prev=als_j[j].prev; - PositionIndex next=als_j[j].next; - if( next ) - als_j[next].prev=prev; - if( prev ) - als_j[prev].next=next; - else - als_i[old_aj]=next; - - // neue Position suchen - PositionIndex lfd=als_i[aj],llfd=0; - while( lfd && lfd<j ) - lfd = als_j[llfd=lfd].next; - - // einfuegen - als_j[j].prev=llfd; - als_j[j].next=lfd; - if( llfd ) - als_j[llfd].next=j; - else - als_i[aj]=j; - if( lfd ) - als_j[lfd].prev=j; - - f[old_aj]--; - positionSum[aj]+=j; - f[aj]++; - a[j]=aj; - } - const Vector<PositionIndex>& getAlignment() const - {return a ;} - PositionIndex get_al(PositionIndex j)const - { - massert(j<a.size()); - return a[j]; - } - PositionIndex operator()(PositionIndex j)const - { - massert(j<a.size()); - return a[j]; - } - PositionIndex fert(PositionIndex i)const - { - massert(i<f.size()); - return f[i]; - } - PositionIndex get_head(PositionIndex i)const - { - massert( als_i[i]==_get_head(i) ); - return als_i[i]; - } - PositionIndex get_center(PositionIndex i)const - { - if( i==0 )return 0; - massert(((positionSum[i]+f[i]-1)/f[i]==_get_center(i))); - return (positionSum[i]+f[i]-1)/f[i]; - } - PositionIndex _get_head(PositionIndex i)const - { - if( fert(i)==0 )return 0; - for(PositionIndex j=1;j<=m;j++) - if( a[j]==i ) - return j; - return 0; - } - PositionIndex _get_center(PositionIndex i)const - { - if( i==0 )return 0; - massert(fert(i)); - PositionIndex sum=0; - for(PositionIndex j=1;j<=m;j++) - if( a[j]==i ) - sum+=j; - return (sum+fert(i)-1)/fert(i); - } - PositionIndex prev_cept(PositionIndex i)const - { - if( i==0 )return 0; - PositionIndex k=i-1; - while(k&&fert(k)==0) - k--; - return k; - } - PositionIndex next_cept(PositionIndex i)const - { - PositionIndex k=i+1; - while(k<l+1&&fert(k)==0) - k++; - return k; - } - PositionIndex prev_in_cept(PositionIndex j)const - { - //PositionIndex k=j-1; - //while(k&&a[k]!=a[j]) - //k--; - //assert( als_j[j].prev==k ); - //assert(k); - //return k; - massert(als_j[j].prev==0||a[als_j[j].prev]==a[j]); - return als_j[j].prev; - } - friend ostream &operator<<(ostream&out, const alignment&a); - friend bool operator==(const alignment&a, const alignment&b) - { - massert(a.a.size()==b.a.size()); - for(PositionIndex j=1;j<=a.get_m();j++) - if(a(j)!=b(j)) - return 0; - return 1; - } - friend bool operator<(const alignment&x, const alignment&y) - { - massert(x.get_m()==y.get_m()); - for(PositionIndex j=1;j<=x.get_m();j++) - if( x(j)<y(j) ) - return 1; - else if( y(j)<x(j) ) - return 0; - return 0; - } - friend int differences(const alignment&x, const alignment&y){ - int count=0; - massert(x.get_m()==y.get_m()); - for(PositionIndex j=1;j<=x.get_m();j++) - count += (x(j)!=y(j)); - return count; - } - bool valid()const - { - if( 2*f[0]>m ) - return 0; - for(unsigned int i=1;i<=l;i++) - if( f[i]>=MAX_FERTILITY ) - return 0; - return 1; - } - friend class transpair_model5; -}; -#endif diff --git a/mgizapp/src/cmd.c b/mgizapp/src/cmd.c deleted file mode 100644 index 5e4a907..0000000 --- a/mgizapp/src/cmd.c +++ /dev/null @@ -1,649 +0,0 @@ - -// $Id: cmd.c 1307 2007-03-14 22:22:36Z hieuhoang1972 $ - -#include <stdio.h> -#include <stdlib.h> -#include <ctype.h> -#include <string.h> - -#include "cmd.h" - -#ifdef WIN32 -# define popen _popen -# define pclose _pclose -#endif - -static Enum_T BoolEnum[] = { - { "FALSE", 0 }, - { "TRUE", 1 }, - { 0, 0 } -}; - -#ifdef NEEDSTRDUP -char *strdup(); -#endif - -#define FALSE 0 -#define TRUE 1 - -#define LINSIZ 10240 -#define MAXPARAM 256 - -static char *GetLine(), - **str2array(); -static int Scan(), - SetParam(), - SetEnum(), - SetSubrange(), - SetStrArray(), - SetGte(), - SetLte(), - CmdError(), - EnumError(), - SubrangeError(), - GteError(), - LteError(), - PrintParam(), - PrintEnum(), - PrintStrArray(); - -static Cmd_T cmds[MAXPARAM+1]; -static char *SepString = " \t\n"; - -#if defined(__STDC__) -#include <stdarg.h> -int DeclareParams(char *ParName, ...) -#else -#include <varargs.h> -int DeclareParams(ParName, va_alist) -char *ParName; -va_dcl -#endif -{ - va_list args; - static int ParamN = 0; - int j, - c; - char *s; - -#if defined(__STDC__) - va_start(args, ParName); -#else - va_start(args); -#endif - for(;ParName;) { - if(ParamN==MAXPARAM) { - fprintf(stderr, "Too many parameters !!\n"); - break; - } - for(j=0,c=1; j<ParamN&&(c=strcmp(cmds[j].Name,ParName))<0; j++) - ; - if(!c) { - fprintf(stderr, - "Warning: parameter \"%s\" declared twice.\n", - ParName); - } - for(c=ParamN; c>j; c--) { - cmds[c] = cmds[c-1]; - } - cmds[j].Name = ParName; - cmds[j].Type = va_arg(args, int); - cmds[j].Val = va_arg(args, void *); - switch(cmds[j].Type) { - case CMDENUMTYPE: /* get the pointer to Enum_T struct */ - cmds[j].p = va_arg(args, void *); - break; - case CMDSUBRANGETYPE: /* get the two extremes */ - cmds[j].p = (void*) calloc(2, sizeof(int)); - ((int*)cmds[j].p)[0] = va_arg(args, int); - ((int*)cmds[j].p)[1] = va_arg(args, int); - break; - case CMDGTETYPE: /* get lower or upper bound */ - case CMDLTETYPE: - cmds[j].p = (void*) calloc(1, sizeof(int)); - ((int*)cmds[j].p)[0] = va_arg(args, int); - break; - case CMDSTRARRAYTYPE: /* get the separators string */ - cmds[j].p = (s=va_arg(args, char*)) - ? (void*)strdup(s) : 0; - break; - case CMDBOOLTYPE: - cmds[j].Type = CMDENUMTYPE; - cmds[j].p = BoolEnum; - break; - case CMDDOUBLETYPE: /* nothing else is needed */ - case CMDINTTYPE: - case CMDSTRINGTYPE: - break; - default: - fprintf(stderr, "%s: %s %d %s \"%s\"\n", - "DeclareParam()", "Unknown Type", - cmds[j].Type, "for parameter", cmds[j].Name); - exit(1); - } - ParamN++; - ParName = va_arg(args, char *); - } - cmds[ParamN].Name = NULL; - va_end(args); - return 0; -} - -int GetParams(n, a, CmdFileName) -int *n; -char ***a; -char *CmdFileName; -{ - char *Line, - *ProgName; - int argc = *n; - char **argv = *a, - *s; - FILE *fp; - int IsPipe; - -#ifdef MSDOS -#define PATHSEP '\\' - char *dot = NULL; -#else -#define PATHSEP '/' -#endif - - if(!(Line=malloc(LINSIZ))) { - fprintf(stderr, "GetParams(): Unable to alloc %d bytes\n", - LINSIZ); - exit(1); - } - if((ProgName=strrchr(*argv, PATHSEP))) { - ++ProgName; - } else { - ProgName = *argv; - } -#ifdef MSDOS - if(dot=strchr(ProgName, '.')) *dot = 0; -#endif - --argc; - ++argv; - for(;;) { - if(argc && argv[0][0]=='-' && argv[0][1]=='=') { - CmdFileName = argv[0]+2; - ++argv; - --argc; - } - if(!CmdFileName) { - break; - } - IsPipe = !strncmp(CmdFileName, "@@", 2); - fp = IsPipe - ? popen(CmdFileName+2, "r") - : strcmp(CmdFileName, "-") - ? fopen(CmdFileName, "r") - : stdin; - if(!fp) { - fprintf(stderr, "Unable to open command file %s\n", - CmdFileName); - exit(1); - } - while(GetLine(fp, LINSIZ, Line) && strcmp(Line, "\\End")) { - if(Scan(ProgName, cmds, Line)) { - CmdError(Line); - } - } - if(fp!=stdin) { - if(IsPipe) pclose(fp); else fclose(fp); - } - CmdFileName = NULL; - } - while(argc && **argv=='-' && (s=strchr(*argv, '='))) { - *s = ' '; - sprintf(Line, "%s/%s", ProgName, *argv+1); - *s = '='; - if(Scan(ProgName, cmds, Line)) CmdError(*argv); - --argc; - ++argv; - } - *n = argc; - *a = argv; -#ifdef MSDOS - if(dot) *dot = '.'; -#endif - free(Line); - return 0; -} - -int PrintParams(ValFlag, fp) -int ValFlag; -FILE *fp; -{ - int i; - - fflush(fp); - if(ValFlag) { - fprintf(fp, "Parameters Values:\n"); - } else { - fprintf(fp, "Parameters:\n"); - } - for(i=0; cmds[i].Name; i++) PrintParam(cmds+i, ValFlag, fp); - fprintf(fp, "\n"); - fflush(fp); - return 0; -} - -int SPrintParams(a, pfx) -char ***a, - *pfx; -{ - int l, - n; - Cmd_T *cmd; - - if(!pfx) pfx=""; - l = strlen(pfx); - for(n=0, cmd=cmds; cmd->Name; cmd++) n += !!cmd->ArgStr; - a[0] = calloc(n, sizeof(char*)); - for(n=0, cmd=cmds; cmd->Name; cmd++) { - if(!cmd->ArgStr) continue; - a[0][n] = malloc(strlen(cmd->Name)+strlen(cmd->ArgStr)+l+2); - sprintf(a[0][n], "%s%s=%s", pfx, cmd->Name, cmd->ArgStr); - ++n; - } - return n; -} - -static int CmdError(opt) -char *opt; -{ - fprintf(stderr, "Invalid option \"%s\"\n", opt); - fprintf(stderr, "This program expectes the following parameters:\n"); - PrintParams(FALSE, stderr); - exit(0); -} - -static int PrintParam(cmd, ValFlag, fp) -Cmd_T *cmd; -int ValFlag; -FILE *fp; -{ - fprintf(fp, "%4s", ""); - switch(cmd->Type) { - case CMDDOUBLETYPE: - fprintf(fp, "%s", cmd->Name); - if(ValFlag) fprintf(fp, ": %22.15e", *(double *)cmd->Val); - fprintf(fp, "\n"); - break; - case CMDENUMTYPE: - PrintEnum(cmd, ValFlag, fp); - break; - case CMDINTTYPE: - case CMDSUBRANGETYPE: - case CMDGTETYPE: - case CMDLTETYPE: - fprintf(fp, "%s", cmd->Name); - if(ValFlag) fprintf(fp, ": %d", *(int *)cmd->Val); - fprintf(fp, "\n"); - break; - case CMDSTRINGTYPE: - fprintf(fp, "%s", cmd->Name); - if(ValFlag) { - if(*(char **)cmd->Val) { - fprintf(fp, ": \"%s\"", *(char **)cmd->Val); - } else { - fprintf(fp, ": %s", "NULL"); - } - } - fprintf(fp, "\n"); - break; - case CMDSTRARRAYTYPE: - PrintStrArray(cmd, ValFlag, fp); - break; - default: - fprintf(stderr, "%s: %s %d %s \"%s\"\n", - "PrintParam", - "Unknown Type", - cmd->Type, - "for parameter", - cmd->Name); - exit(1); - } - return 0; -} - -static char *GetLine(fp, n, Line) -FILE *fp; -int n; -char *Line; -{ - int j, - l, - offs=0; - - for(;;) { - if(!fgets(Line+offs, n-offs, fp)) { - return NULL; - } - if(Line[offs]=='#') continue; - l = strlen(Line+offs)-1; - Line[offs+l] = 0; - for(j=offs; Line[j] && isspace(Line[j]); j++, l--) - ; - if(l<1) continue; - if(j > offs) { - char *s = Line+offs, - *q = Line+j; - - while((*s++=*q++)) - ; - } - if(Line[offs+l-1]=='\\') { - offs += l; - Line[offs-1] = ' '; - } else { - break; - } - } - return Line; -} - -static int Scan(ProgName, cmds, Line) -char *ProgName, - *Line; -Cmd_T *cmds; -{ - char *q, - *p; - int i, - hl, - HasToMatch = FALSE, - c0, - c; - - p = Line+strspn(Line, SepString); - if(!(hl=strcspn(p, SepString))) { - return 0; - } - if((q=strchr(p, '/')) && q-p<hl) { - *q = 0; - if(strcmp(p, ProgName)) { - *q = '/'; - return 0; - } - *q = '/'; - HasToMatch=TRUE; - p = q+1; - } - if(!(hl = strcspn(p, SepString))) { - return 0; - } - c0 = p[hl]; - p[hl] = 0; - for(i=0, c=1; cmds[i].Name&&(c=strcmp(cmds[i].Name, p))<0; i++) - ; - p[hl] = c0; - if(!c) return SetParam(cmds+i, p+hl+strspn(p+hl, SepString)); - return HasToMatch && c; -} - -static int SetParam(cmd, s) -Cmd_T *cmd; -char *s; -{ - if(!*s && cmd->Type != CMDSTRINGTYPE) { - fprintf(stderr, - "WARNING: No value specified for parameter \"%s\"\n", - cmd->Name); - return 0; - } - switch(cmd->Type) { - case CMDDOUBLETYPE: - if(sscanf(s, "%lf", (double*)cmd->Val)!=1) { - fprintf(stderr, - "Float value required for parameter \"%s\"\n", - cmd->Name); - exit(1); - } - break; - case CMDENUMTYPE: - SetEnum(cmd, s); - break; - case CMDINTTYPE: - if(sscanf(s, "%d", (int*)cmd->Val)!=1) { - fprintf(stderr, - "Integer value required for parameter \"%s\"\n", - cmd->Name); - exit(1); - } - break; - case CMDSTRINGTYPE: - *(char **)cmd->Val = (strcmp(s, "<NULL>") && strcmp(s, "NULL")) - ? strdup(s) - : 0; - break; - case CMDSTRARRAYTYPE: - SetStrArray(cmd, s); - break; - case CMDGTETYPE: - SetGte(cmd, s); - break; - case CMDLTETYPE: - SetLte(cmd, s); - break; - case CMDSUBRANGETYPE: - SetSubrange(cmd, s); - break; - default: - fprintf(stderr, "%s: %s %d %s \"%s\"\n", - "SetParam", - "Unknown Type", - cmd->Type, - "for parameter", - cmd->Name); - exit(1); - } - cmd->ArgStr = strdup(s); - return 0; -} - -static int SetEnum(cmd, s) -Cmd_T *cmd; -char *s; -{ - Enum_T *en; - - for(en=(Enum_T *)cmd->p; en->Name; en++) { - if(*en->Name && !strcmp(s, en->Name)) { - *(int *) cmd->Val = en->Idx; - return 0; - } - } - return EnumError(cmd, s); -} - -static int SetSubrange(cmd, s) -Cmd_T *cmd; -char *s; -{ - int n; - - if(sscanf(s, "%d", &n)!=1) { - fprintf(stderr, - "Integer value required for parameter \"%s\"\n", - cmd->Name); - exit(1); - } - if(n < *(int *)cmd->p || n > *((int *)cmd->p+1)) { - return SubrangeError(cmd, n); - } - *(int *)cmd->Val = n; - return 0; -} - -static int SetGte(cmd, s) -Cmd_T *cmd; -char *s; -{ - int n; - - if(sscanf(s, "%d", &n)!=1) { - fprintf(stderr, - "Integer value required for parameter \"%s\"\n", - cmd->Name); - exit(1); - } - if(n<*(int *)cmd->p) { - return GteError(cmd, n); - } - *(int *)cmd->Val = n; - return 0; -} - -static int SetStrArray(cmd, s) -Cmd_T *cmd; -char *s; -{ - *(char***)cmd->Val = str2array(s, (char*)cmd->p); - return 0; -} - -static int SetLte(cmd, s) -Cmd_T *cmd; -char *s; -{ - int n; - - if(sscanf(s, "%d", &n)!=1) { - fprintf(stderr, - "Integer value required for parameter \"%s\"\n", - cmd->Name); - exit(1); - } - if(n > *(int *)cmd->p) { - return LteError(cmd, n); - } - *(int *)cmd->Val = n; - return 0; -} - -static int EnumError(cmd, s) -Cmd_T *cmd; -char *s; -{ - Enum_T *en; - - fprintf(stderr, - "Invalid value \"%s\" for parameter \"%s\"\n", s, cmd->Name); - fprintf(stderr, "Valid values are:\n"); - for(en=(Enum_T *)cmd->p; en->Name; en++) { - if(*en->Name) { - fprintf(stderr, " %s\n", en->Name); - } - } - fprintf(stderr, "\n"); - exit(1); -} - -static int GteError(cmd, n) -Cmd_T *cmd; -int n; -{ - fprintf(stderr, - "Value %d out of range for parameter \"%s\"\n", n, cmd->Name); - fprintf(stderr, "Valid values must be greater than or equal to %d\n", - *(int *)cmd->p); - exit(1); -} - -static int LteError(cmd, n) -Cmd_T *cmd; -int n; -{ - fprintf(stderr, - "Value %d out of range for parameter \"%s\"\n", n, cmd->Name); - fprintf(stderr, "Valid values must be less than or equal to %d\n", - *(int *)cmd->p); - exit(1); -} - -static int SubrangeError(cmd, n) -Cmd_T *cmd; -int n; -{ - fprintf(stderr, - "Value %d out of range for parameter \"%s\"\n", n, cmd->Name); - fprintf(stderr, "Valid values range from %d to %d\n", - *(int *)cmd->p, *((int *)cmd->p+1)); - exit(1); -} - -static int PrintEnum(cmd, ValFlag, fp) -Cmd_T *cmd; -int ValFlag; -FILE *fp; -{ - Enum_T *en; - - fprintf(fp, "%s", cmd->Name); - if(ValFlag) { - for(en=(Enum_T *)cmd->p; en->Name; en++) { - if(*en->Name && en->Idx==*(int *)cmd->Val) { - fprintf(fp, ": %s", en->Name); - } - } - } - fprintf(fp, "\n"); - return 0; -} - -static int PrintStrArray(cmd, ValFlag, fp) -Cmd_T *cmd; -int ValFlag; -FILE *fp; -{ - char *indent, - **s = *(char***)cmd->Val; - int l = 4+strlen(cmd->Name); - - fprintf(fp, "%s", cmd->Name); - indent = malloc(l+2); - memset(indent, ' ', l+1); - indent[l+1] = 0; - if(ValFlag) { - fprintf(fp, ": %s", s ? (*s ? *s++ : "NULL") : ""); - if(s) while(*s) { - fprintf(fp, "\n%s %s", indent, *s++); - } - } - free(indent); - fprintf(fp, "\n"); - return 0; -} - -static char **str2array(s, sep) -char *s, - *sep; -{ - char *p, - **a; - int n = 0, - l; - - if(!sep) sep = SepString; - p = s += strspn(s, sep); - while(*p) { - p += strcspn(p, sep); - p += strspn(p, sep); - ++n; - } - a = calloc(n+1, sizeof(char *)); - p = s; - n = 0; - while(*p) { - l = strcspn(p, sep); - a[n] = malloc(l+1); - memcpy(a[n], p, l); - a[n][l] = 0; - ++n; - p += l; - p += strspn(p, sep); - } - return a; -} diff --git a/mgizapp/src/cmd.h b/mgizapp/src/cmd.h deleted file mode 100644 index 6c64d2d..0000000 --- a/mgizapp/src/cmd.h +++ /dev/null @@ -1,51 +0,0 @@ - -// $Id: cmd.h 1307 2007-03-14 22:22:36Z hieuhoang1972 $ - -#if !defined(CMD_H) - -#define CMD_H - -#define CMDDOUBLETYPE 1 -#define CMDENUMTYPE 2 -#define CMDINTTYPE 3 -#define CMDSTRINGTYPE 4 -#define CMDSUBRANGETYPE 5 -#define CMDGTETYPE 6 -#define CMDLTETYPE 7 -#define CMDSTRARRAYTYPE 8 -#define CMDBOOLTYPE 9 - -typedef struct { - char *Name; - int Idx; -} Enum_T; - -typedef struct { - int Type; - char *Name, - *ArgStr; - void *Val, - *p; -} Cmd_T; - -#ifdef __cplusplus -extern "C" { -#endif - -#if defined(__STDC__) -int DeclareParams(char *, ...); -#else -int DeclareParams(); -#endif - -int GetParams(int *n, char ***a,char *CmdFileName), - SPrintParams(), - PrintParams(); - -#ifdef __cplusplus -} -#endif -#endif - - - diff --git a/mgizapp/src/collCounts.h b/mgizapp/src/collCounts.h deleted file mode 100644 index 9a0529b..0000000 --- a/mgizapp/src/collCounts.h +++ /dev/null @@ -1,80 +0,0 @@ -/* - -Copyright (C) 1999,2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef collCounts_h_defined -#define collCounts_h_defined -#include "alignment.h" -#include "transpair_model3.h" -#include <map> -#include "MoveSwapMatrix.h" -#include "D4Tables.h" -#include "transpair_model4.h" - -class OneMoveSwap -{ - public: - short type; - short a,b; - OneMoveSwap(short _type,short _a,short _b) - : type(_type),a(_a),b(_b) - {} - OneMoveSwap() - : type(0){} -}; - -inline bool operator<(const OneMoveSwap&a,const OneMoveSwap&b) -{ - if(a.type<b.type)return 1; - else if(b.type<a.type)return 0; - else if(a.a<b.a)return 1; - else if(b.a<a.a)return 0; - else return a.b<b.b; -} - -inline bool operator==(const OneMoveSwap&a,const OneMoveSwap&b) -{ - return a.type==b.type&&a.a==b.a&&a.b==b.b; -} - -inline ostream&operator<<(ostream&out,const OneMoveSwap&o) -{ - return out << '(' << o.type << "," << o.a << "," << o.b << ")"; -} - -inline ostream &operator<<(ostream &out,const set<OneMoveSwap>&s) -{ - for(set<OneMoveSwap>::const_iterator i=s.begin();i!=s.end();++i) - cout << *i << ' '; - return out; -} - -bool makeOneMoveSwap(const alignment&a,const alignment&b,set<OneMoveSwap>&oms); - -template<class TRANSPAIR,class MODEL> -int collectCountsOverNeighborhood(const Vector<pair<MoveSwapMatrix<TRANSPAIR>*,LogProb> >&smsc, - Vector<WordIndex>&es, - Vector<WordIndex>&fs,tmodel<COUNT,PROB>&tTable, - amodel<COUNT>&aCountTable,amodel<COUNT>&dCountTable, - nmodel<COUNT>&nCountTable,double&p1count,double&p0count, - LogProb&_total,float count,bool addCounts,MODEL*d4Table=0); - -#endif diff --git a/mgizapp/src/common.h b/mgizapp/src/common.h deleted file mode 100644 index 511c1f1..0000000 --- a/mgizapp/src/common.h +++ /dev/null @@ -1,3 +0,0 @@ -/*! -This is global definition for all main files of the program set -*/ diff --git a/mgizapp/src/d4norm.cxx b/mgizapp/src/d4norm.cxx deleted file mode 100644 index 91db0d7..0000000 --- a/mgizapp/src/d4norm.cxx +++ /dev/null @@ -1,126 +0,0 @@ -// D4 Normalization executable - -#include <iostream> -#include <strstream> -#include <string> -#include "hmm.h" -#include "D4Tables.h" -#include "Parameter.h" -#define ITER_M2 0 -#define ITER_MH 5 -GLOBAL_PARAMETER3(int,Model1_Iterations,"Model1_Iterations","NO. ITERATIONS MODEL 1","m1","number of iterations for Model 1",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model2_Iterations,"Model2_Iterations","NO. ITERATIONS MODEL 2","m2","number of iterations for Model 2",PARLEV_ITER,ITER_M2); -GLOBAL_PARAMETER3(int,HMM_Iterations,"HMM_Iterations","mh","number of iterations for HMM alignment model","mh", PARLEV_ITER,ITER_MH); -GLOBAL_PARAMETER3(int,Model3_Iterations,"Model3_Iterations","NO. ITERATIONS MODEL 3","m3","number of iterations for Model 3",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model4_Iterations,"Model4_Iterations","NO. ITERATIONS MODEL 4","m4","number of iterations for Model 4",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model5_Iterations,"Model5_Iterations","NO. ITERATIONS MODEL 5","m5","number of iterations for Model 5",PARLEV_ITER,0); -GLOBAL_PARAMETER3(int,Model6_Iterations,"Model6_Iterations","NO. ITERATIONS MODEL 6","m6","number of iterations for Model 6",PARLEV_ITER,0); - -GLOBAL_PARAMETER(float, PROB_SMOOTH,"probSmooth","probability smoothing (floor) value ",PARLEV_OPTHEUR,1e-7); -GLOBAL_PARAMETER(float, MINCOUNTINCREASE,"minCountIncrease","minimal count increase",PARLEV_OPTHEUR,1e-7); - -GLOBAL_PARAMETER2(int,Transfer_Dump_Freq,"TRANSFER DUMP FREQUENCY","t2to3","output: dump of transfer from Model 2 to 3",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,Verbose,"verbose","v","0: not verbose; 1: verbose",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(bool,Log,"log","0: no logfile; 1: logfile",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(double,P0,"p0","fixed value for parameter p_0 in IBM-3/4 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER(double,M5P0,"m5p0","fixed value for parameter p_0 in IBM-5 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER3(bool,Peg,"pegging","p","DO PEGGING? (Y/N)","0: no pegging; 1: do pegging",PARLEV_EM,0); - -GLOBAL_PARAMETER(short,OldADBACKOFF,"adbackoff","",-1,0); -GLOBAL_PARAMETER2(unsigned int,MAX_SENTENCE_LENGTH,"ml","MAX SENTENCE LENGTH","maximum sentence length",0,MAX_SENTENCE_LENGTH_ALLOWED); - -GLOBAL_PARAMETER(short, DeficientDistortionForEmptyWord,"DeficientDistortionForEmptyWord","0: IBM-3/IBM-4 as described in (Brown et al. 1993); 1: distortion model of empty word is deficient; 2: distoriton model of empty word is deficient (differently); setting this parameter also helps to avoid that during IBM-3 and IBM-4 training too many words are aligned with the empty word",PARLEV_MODELS,0); - -/** -Here are parameters to support Load models and dump models -*/ - -GLOBAL_PARAMETER(int,restart,"restart","Restart training from a level,0: Normal restart, from model 1, 1: Model 1, 2: Model 2 Init (Using Model 1 model input and train model 2), 3: Model 2, (using model 2 input and train model 2), 4 : HMM Init (Using Model 1 model and train HMM), 5: HMM (Using Model 2 model and train HMM) 6 : HMM (Using HMM Model and train HMM), 7: Model 3 Init (Use HMM model and train model 3) 8: Model 3 Init (Use Model 2 model and train model 3) 9: Model 3, 10: Model 4 Init (Use Model 3 model and train Model 4) 11: Model 4 and on, ",PARLEV_INPUT,0); -GLOBAL_PARAMETER(bool,dumpCount,"dumpcount","Whether we are going to dump count (in addition to) final output?",PARLEV_OUTPUT,false); -GLOBAL_PARAMETER(bool,dumpCountUsingWordString,"dumpcountusingwordstring","In count table, should actual word appears or just the id? default is id",PARLEV_OUTPUT,false); -/// END -short OutputInAachenFormat=0; -bool Transfer=TRANSFER; -bool Transfer2to3=0; -short NoEmptyWord=0; -bool FEWDUMPS=0; -GLOBAL_PARAMETER(bool,ONLYALDUMPS,"ONLYALDUMPS","1: do not write any files",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(short,NCPUS,"NCPUS","Number of CPUS",PARLEV_EM,2); -GLOBAL_PARAMETER(short,CompactAlignmentFormat,"CompactAlignmentFormat","0: detailled alignment format, 1: compact alignment format ",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,NODUMPS,"NODUMPS","NO FILE DUMPS? (Y/N)","1: do not write any files",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(WordIndex, MAX_FERTILITY, "MAX_FERTILITY", - "maximal fertility for fertility models", PARLEV_EM, 10); - -using namespace std; -string Prefix, LogFilename, OPath, Usage, SourceVocabFilename, - TargetVocabFilename, CorpusFilename, TestCorpusFilename, t_Filename, - a_Filename, p0_Filename, d_Filename, n_Filename, dictionary_Filename; - - -int main(int argc, char* argv[]){ - if(argc < 5){ - cerr << "Usage: " << argv[0] << " vcb1 vcb2 outputFile baseFile [additional1 ]..." << endl; - return 1; - } - WordClasses ewc,fwc; - d4model d4m(MAX_SENTENCE_LENGTH,ewc,fwc); - Vector<WordEntry> evlist,fvlist; - vcbList eTrainVcbList(evlist), fTrainVcbList(fvlist); - TargetVocabFilename = argv[2]; - SourceVocabFilename = argv[1]; - eTrainVcbList.setName(argv[1]); - fTrainVcbList.setName(argv[2]); - eTrainVcbList.readVocabList(); - fTrainVcbList.readVocabList(); - string evcbcls = argv[1]; - string fvcbcls = argv[2]; - evcbcls += ".classes"; - fvcbcls += ".classes"; - d4m.makeWordClasses(eTrainVcbList, fTrainVcbList, evcbcls.c_str(), fvcbcls.c_str(),eTrainVcbList,fTrainVcbList); - // Start iteration: - for(int i =4; i< argc ; i++){ - string name = argv[i]; - string nameA = name ; - string nameB = name + ".b"; - if(d4m.augCount(nameA.c_str(),nameB.c_str())){ - cerr << "Loading (d4) table " << nameA << "/" << nameB << " OK" << endl; - - }else{ - cerr << "ERROR Loading (d) table " << nameA << " " << nameB << endl; - } - } - - d4m.normalizeTable(); - string DiffOPath = argv[3]; - string diff1 = DiffOPath; - string diff2 = DiffOPath+".b"; - cerr << "Outputing d4 table to " << diff1 << " " << diff2; - d4m.printProbTable(diff1.c_str(),diff2.c_str()); - - -} - -// Some utility functions to get it compile.. - -ofstream logmsg; -const string str2Num(int n) { - string number = ""; - do { - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - return (number); -} -double LAMBDA=1.09; - -Vector<map< pair<int,int>,char > > ReferenceAlignment; - -double ErrorsInAlignment(const map< pair<int,int>,char >&reference, - const Vector<WordIndex>&test, int l, int&missing, int&toomuch, - int&eventsMissing, int&eventsToomuch, int pair_no){ - } - -void printGIZAPars(ostream&out){ -} - diff --git a/mgizapp/src/defs.h b/mgizapp/src/defs.h deleted file mode 100644 index e94addd..0000000 --- a/mgizapp/src/defs.h +++ /dev/null @@ -1,78 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _defs_h -#define _defs_h 1 -#include <string> -#include <math.h> -#include <limits.h> - -const int TRANSFER_SIMPLE=1; -const int TRANSFER=0; - -const unsigned int MAX_SENTENCE_LENGTH_ALLOWED=101; -const int TRAIN_BUFFER_SIZE= 50000; -//#ifdef WORDINDEX_WITH_4_BYTE -typedef unsigned int WordIndex; -const unsigned int MAX_VOCAB_SIZE=UINT_MAX; -typedef unsigned int PositionIndex; -//#else -//typedef unsigned short WordIndex; -//const unsigned int MAX_VOCAB_SIZE=USHRT_MAX; -//typedef unsigned short PositionIndex; -//#endif -extern WordIndex MAX_FERTILITY; - -const int MAX_W=457979; -extern double LAMBDA; // Lambda that is used to scale cross_entropy factor - -typedef float PROB ; -typedef float COUNT ; - -class LogProb { - private: - double x ; - public: - LogProb():x(0){} - LogProb(double y):x(y){} - LogProb(float y):x(y){} - LogProb(int y):x(y){} - LogProb(WordIndex y):x(y){} - operator double() const {return x;} - LogProb operator *= (double y) { x *= y ; return *this;} - LogProb operator *= (LogProb y) { x *= y.x ; return *this;} - LogProb operator /= (double y) { x /= y ; return *this;} - LogProb operator /= (LogProb y) { x /= y.x ; return *this;} - LogProb operator += (double y) { x += y ; return *this;} - LogProb operator += (LogProb y) { x += y.x ; return *this;} -}; - -const int PARLEV_ITER=1; -const int PARLEV_OPTHEUR=2; -const int PARLEV_OUTPUT=3; -const int PARLEV_SMOOTH=4; -const int PARLEV_EM=5; -const int PARLEV_MODELS=6; -const int PARLEV_SPECIAL=7; -const int PARLEV_INPUT=8; - -#endif - diff --git a/mgizapp/src/file_spec.h b/mgizapp/src/file_spec.h deleted file mode 100644 index d61746c..0000000 --- a/mgizapp/src/file_spec.h +++ /dev/null @@ -1,59 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef FILE_SPEC_H -#define FILE_SPEC_H - -#include <time.h> -#include <stdlib.h> -#include <string.h> -#include <stdio.h> - -/* This function returns a string, locally called file_spec. This - string is the concatenation of the date and time of execution - and the user who is performing the execution */ -/* Originally implemented in C by Yaser Al-Onaizan; - editions for C++ and formatting by Noah A. Smith, 9 July 1999 */ - -char *Get_File_Spec (){ - struct tm *local; - time_t t; - char *user; - char time_stmp[57]; - char *file_spec = 0; - - t = time(NULL); - local = localtime(&t); - - sprintf(time_stmp, "%02d-%02d-%02d.%02d%02d%02d.", local->tm_year, - (local->tm_mon + 1), local->tm_mday, local->tm_hour, - local->tm_min, local->tm_sec); - user = getenv("USER"); - - file_spec = (char *)malloc(sizeof(char) * - (strlen(time_stmp) + strlen(user) + 1)); - file_spec[0] = '\0'; - strcat(file_spec, time_stmp) ; - strcat(file_spec, user); - return file_spec; -} - -#endif diff --git a/mgizapp/src/hmm.h b/mgizapp/src/hmm.h deleted file mode 100644 index c518144..0000000 --- a/mgizapp/src/hmm.h +++ /dev/null @@ -1,103 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _hmm_h -#define _hmm_h 1 - -#include <assert.h> - -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -#include "Vector.h" -#include <utility> - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include <fstream> -#include <math.h> -#include <time.h> - -#include "TTables.h" -#include "ATables.h" -#include "getSentence.h" -#include "defs.h" -#include "model2.h" -#include "Perplexity.h" -#include "vocab.h" -#include "WordClasses.h" -#include "HMMTables.h" -#include "ForwardBackward.h" -#include "ttableDiff.hpp" - -class hmm : public model2{ -public: - WordClasses& ewordclasses; - WordClasses& fwordclasses; -public: - HMMTables<int,WordClasses> counts,probs; -public: - template<class MAPPER> - void makeWordClasses(const MAPPER&m1,const MAPPER&m2,string efile,string ffile){ - ifstream estrm(efile.c_str()),fstrm(ffile.c_str()); - if( !estrm ) { - cerr << "ERROR: can not read " << efile << endl; - }else - ewordclasses.read(estrm,m1,Elist); - if( !fstrm ) - cerr << "ERROR: can not read " << ffile << endl; - else - fwordclasses.read(fstrm,m2,Flist); - } - hmm(model2&m2,WordClasses &e, WordClasses& f); - void initialize_table_uniformly(sentenceHandler&); - int em_with_tricks(int iterations, bool dumpCount = false, - const char* dumpCountName = NULL, bool useString = false,bool resume=false); - CTTableDiff<COUNT,PROB>* em_one_step(int it); - // void em_one_step_2(int it,int part); - void load_table(const char* aname); - - // void em_loop(Perplexity& perp, sentenceHandler& sHandler1, bool dump_files, - // const char* alignfile, Perplexity&, bool test,bool doInit,int iter); - /* CTTableDiff<COUNT,PROB>* em_loop_1(Perplexity& perp, sentenceHandler& sHandler1, bool dump_files, - const char* alignfile, Perplexity&, bool test,bool doInit,int iter);*/ - /* void em_loop_2( Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test,bool doInit,int part);*/ - void em_loop(Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test,bool doInit,int - ); - void em_thread(int it,string alignfile,bool dump_files,bool resume=false); - HMMNetwork *makeHMMNetwork(const Vector<WordIndex>& es,const Vector<WordIndex>&fs,bool doInit)const; - void clearCountTable(); - friend class model3; -}; -//int multi_thread_em(int noIter, int noThread, hmm* base); - - -#endif diff --git a/mgizapp/src/hmmnorm.cxx b/mgizapp/src/hmmnorm.cxx deleted file mode 100644 index 90c71eb..0000000 --- a/mgizapp/src/hmmnorm.cxx +++ /dev/null @@ -1,135 +0,0 @@ -// HMM Normalization executable - -#include <iostream> -#include <strstream> -#include <string> -#include "hmm.h" -#include "Parameter.h" -#define ITER_M2 0 -#define ITER_MH 5 -GLOBAL_PARAMETER3(int,Model1_Iterations,"Model1_Iterations","NO. ITERATIONS MODEL 1","m1","number of iterations for Model 1",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model2_Iterations,"Model2_Iterations","NO. ITERATIONS MODEL 2","m2","number of iterations for Model 2",PARLEV_ITER,ITER_M2); -GLOBAL_PARAMETER3(int,HMM_Iterations,"HMM_Iterations","mh","number of iterations for HMM alignment model","mh", PARLEV_ITER,ITER_MH); -GLOBAL_PARAMETER3(int,Model3_Iterations,"Model3_Iterations","NO. ITERATIONS MODEL 3","m3","number of iterations for Model 3",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model4_Iterations,"Model4_Iterations","NO. ITERATIONS MODEL 4","m4","number of iterations for Model 4",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model5_Iterations,"Model5_Iterations","NO. ITERATIONS MODEL 5","m5","number of iterations for Model 5",PARLEV_ITER,0); -GLOBAL_PARAMETER3(int,Model6_Iterations,"Model6_Iterations","NO. ITERATIONS MODEL 6","m6","number of iterations for Model 6",PARLEV_ITER,0); - -GLOBAL_PARAMETER(float, PROB_SMOOTH,"probSmooth","probability smoothing (floor) value ",PARLEV_OPTHEUR,1e-7); -GLOBAL_PARAMETER(float, MINCOUNTINCREASE,"minCountIncrease","minimal count increase",PARLEV_OPTHEUR,1e-7); - -GLOBAL_PARAMETER2(int,Transfer_Dump_Freq,"TRANSFER DUMP FREQUENCY","t2to3","output: dump of transfer from Model 2 to 3",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,Verbose,"verbose","v","0: not verbose; 1: verbose",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(bool,Log,"log","0: no logfile; 1: logfile",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(double,P0,"p0","fixed value for parameter p_0 in IBM-3/4 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER(double,M5P0,"m5p0","fixed value for parameter p_0 in IBM-5 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER3(bool,Peg,"pegging","p","DO PEGGING? (Y/N)","0: no pegging; 1: do pegging",PARLEV_EM,0); - -GLOBAL_PARAMETER(short,OldADBACKOFF,"adbackoff","",-1,0); -GLOBAL_PARAMETER2(unsigned int,MAX_SENTENCE_LENGTH,"ml","MAX SENTENCE LENGTH","maximum sentence length",0,MAX_SENTENCE_LENGTH_ALLOWED); - -GLOBAL_PARAMETER(short, DeficientDistortionForEmptyWord,"DeficientDistortionForEmptyWord","0: IBM-3/IBM-4 as described in (Brown et al. 1993); 1: distortion model of empty word is deficient; 2: distoriton model of empty word is deficient (differently); setting this parameter also helps to avoid that during IBM-3 and IBM-4 training too many words are aligned with the empty word",PARLEV_MODELS,0); - -/** -Here are parameters to support Load models and dump models -*/ - -GLOBAL_PARAMETER(int,restart,"restart","Restart training from a level,0: Normal restart, from model 1, 1: Model 1, 2: Model 2 Init (Using Model 1 model input and train model 2), 3: Model 2, (using model 2 input and train model 2), 4 : HMM Init (Using Model 1 model and train HMM), 5: HMM (Using Model 2 model and train HMM) 6 : HMM (Using HMM Model and train HMM), 7: Model 3 Init (Use HMM model and train model 3) 8: Model 3 Init (Use Model 2 model and train model 3) 9: Model 3, 10: Model 4 Init (Use Model 3 model and train Model 4) 11: Model 4 and on, ",PARLEV_INPUT,0); -GLOBAL_PARAMETER(bool,dumpCount,"dumpcount","Whether we are going to dump count (in addition to) final output?",PARLEV_OUTPUT,false); -GLOBAL_PARAMETER(bool,dumpCountUsingWordString,"dumpcountusingwordstring","In count table, should actual word appears or just the id? default is id",PARLEV_OUTPUT,false); -/// END -short OutputInAachenFormat=0; -bool Transfer=TRANSFER; -bool Transfer2to3=0; -short NoEmptyWord=0; -bool FEWDUMPS=0; -GLOBAL_PARAMETER(bool,ONLYALDUMPS,"ONLYALDUMPS","1: do not write any files",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(short,NCPUS,"NCPUS","Number of CPUS",PARLEV_EM,2); -GLOBAL_PARAMETER(short,CompactAlignmentFormat,"CompactAlignmentFormat","0: detailled alignment format, 1: compact alignment format ",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,NODUMPS,"NODUMPS","NO FILE DUMPS? (Y/N)","1: do not write any files",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(WordIndex, MAX_FERTILITY, "MAX_FERTILITY", - "maximal fertility for fertility models", PARLEV_EM, 10); - -using namespace std; -string Prefix, LogFilename, OPath, Usage, SourceVocabFilename, - TargetVocabFilename, CorpusFilename, TestCorpusFilename, t_Filename, - a_Filename, p0_Filename, d_Filename, n_Filename, dictionary_Filename; - - -int main(int argc, char* argv[]){ - if(argc < 5){ - cerr << "Usage: " << argv[0] << " vcb1 vcb2 outputFile baseFile [additional1 ]..." << endl; - return 1; - } - Vector<WordEntry> evlist,fvlist; - vcbList eTrainVcbList(evlist), fTrainVcbList(fvlist); - TargetVocabFilename = argv[2]; - SourceVocabFilename = argv[1]; - eTrainVcbList.setName(argv[1]); - fTrainVcbList.setName(argv[2]); - eTrainVcbList.readVocabList(); - fTrainVcbList.readVocabList(); - Perplexity trainPerp, testPerp, trainViterbiPerp, testViterbiPerp; - tmodel<float, float> tTable; - sentenceHandler *corpus = new sentenceHandler(); - - - model1 m1(CorpusFilename.c_str(), eTrainVcbList, fTrainVcbList, tTable, - trainPerp, *corpus, &testPerp, corpus, trainViterbiPerp, - &testViterbiPerp); - amodel<float> aTable(false); - amodel<float> aCountTable(false); - model2 m2(m1, aTable, aCountTable); - WordClasses french,english; - hmm h(m2,english,french); - string evcbcls = argv[1]; - string fvcbcls = argv[2]; - evcbcls += ".classes"; - fvcbcls += ".classes"; - h.makeWordClasses(m1.Elist, m1.Flist, evcbcls.c_str(), fvcbcls.c_str()); - string base = argv[4]; - string baseA = base+".alpha"; - string baseB = base+".beta"; - string output = argv[3]; - string outputA = output+".alpha"; - string outputB = output+".beta"; - h.probs.readJumps(base.c_str(),NULL,baseA.c_str(), baseB.c_str()); - // Start iteration: - for(int i = 5; i< argc ; i++){ - string name = argv[i]; - string nameA = name + ".alpha"; - string nameB = name + ".beta"; - if(h.counts.readJumps(name.c_str(),NULL,nameA.c_str(), nameB.c_str())) - h.probs.merge(h.counts); - else - cerr << "Error, cannot load name.c_str()"; - h.clearCountTable(); - } - h.probs.writeJumps(output.c_str(),NULL,outputA.c_str(), outputB.c_str()); - delete corpus; -} - -// Some utility functions to get it compile.. - -ofstream logmsg; -const string str2Num(int n) { - string number = ""; - do { - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - return (number); -} -double LAMBDA=1.09; - -Vector<map< pair<int,int>,char > > ReferenceAlignment; - -double ErrorsInAlignment(const map< pair<int,int>,char >&reference, - const Vector<WordIndex>&test, int l, int&missing, int&toomuch, - int&eventsMissing, int&eventsToomuch, int pair_no){ - } - -void printGIZAPars(ostream&out){ -} - diff --git a/mgizapp/src/logprob.cpp b/mgizapp/src/logprob.cpp deleted file mode 100644 index 9035f80..0000000 --- a/mgizapp/src/logprob.cpp +++ /dev/null @@ -1,154 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - -// Routines to perform integer exponential arithmetic. -// A number x is represented as n, where x = b**n. -// It is assumed that b > 1, something like b = 1.001; - -#include "logprob.h" -#include <stdlib.h> -#include <stdio.h> -#include <iostream> -#include <fstream> -#include <string> -double *LogProb::ntof = NULL; // Tables will be initialized -int *LogProb::addtbl = NULL; // in Initialize function. -int *LogProb::subtbl = NULL; // - -const int LogProb::max_2byte_integer = 32767; -const int LogProb::min_2byte_integer = -32768; -const double LogProb::b = 1.001; // a logarithm basis -const double LogProb::logb2 = log(b); -//const int LogProb::nmax = round(78.0E0 * log(1.0E1) / logb2); -const int LogProb::nmax = round(300.0E0 * log(1.0E1) / logb2); -const int LogProb::nmin = -nmax; -const int LogProb::tblbnd = round(log((b-1.0E0)/2.0E0)/logb2); -const int LogProb::zeron = round(pow(-2, 23)); -const int LogProb::onen = 0; -const int LogProb::infn = onen - zeron; - -const int LogProb::initialized = LogProb::Initialize(); -const LogProb LogProb::zero(0); -const LogProb LogProb::one(1); -const LogProb LogProb::minus2(1e-2); -const LogProb LogProb::minus4(1e-4); -const LogProb LogProb::minus6(1e-6); -const LogProb LogProb::minus8(1e-8); -const LogProb LogProb::minus10(1e-10); -const LogProb LogProb::minus12(1e-12); -const LogProb LogProb::minus14(1e-14); -const LogProb LogProb::minus16(1e-16); - -// static table initialization function -int LogProb::Initialize() -{ - int nbytes = sizeof(double)*(nmax-nmin+1) + sizeof(int)*(0-tblbnd+1); - std::cerr << nbytes << " bytes used for LogProb tables (C++ version)\n"; - ntof = new double[nmax-nmin+1]; - addtbl = new int[-tblbnd+1]; - subtbl = new int[-tblbnd+1]; - - // char filename[257]; - // string filename ; - // ifstream ifs; - // ifs.open(filename.c_str()); - // if (!ifs) - // { - int i; - std::cerr << "Building integer logs conversion tables\n"; - ntof[0] = 0 ; - - for (i=nmin+1; i<=nmax; ++i) - { - double x = i; - ntof[i-nmin] = exp(x*logb2); - - } - for (i=tblbnd; i<=0; ++i) - { - double x = 1.0 + pow(b, i); - addtbl[i-tblbnd] = round(log(x)/logb2); - } - double sqrtb = exp(0.5*logb2); - for (i=0; i<=-tblbnd; ++i) - { - double x = sqrtb * pow(b, i) - 1.0; - subtbl[i] = round(log(x)/logb2); - } - // if (toolsRoot) - // { - // ofstream ofs(filename.c_str()); - // if (!ofs) - // cerr << "Could not write LogProb data to " << filename << endl; - // else - // { - // ofs.write((const char *)ntof, sizeof(double) * (nmax-nmin+1)); - // ofs.write((const char *)addtbl, sizeof(int) * (-tblbnd+1)); - // ofs.write((const char *)subtbl, sizeof(int) * (-tblbnd+1)); - // } - // } - // } - // else - // { - // ifs.read((char *)ntof, sizeof(double) * (nmax - nmin + 1)); - // ifs.read((char *)addtbl, sizeof(int) * (-tblbnd+1)); - // ifs.read((char *)subtbl, sizeof(int) * (-tblbnd+1)); - // } - return 1; -} - -void LogProb::FreeTables() -{ - delete [] addtbl; - delete [] subtbl; - delete [] ntof; -} - -//--------------------------------------------------------------------------- -// Aritmetic operators -//--------------------------------------------------------------------------- - - -// Subtract two logarithm numbers. Use the following method: -// b**n - b**m = b**m( b**(n-m) - 1 ), assuming n >= m. -LogProb& LogProb::operator-=(const LogProb &subs) -{ - if (subs.logr == zeron) - return *this; - int a = logr - subs.logr; - if (a <= 0) - { - if (a < 0) - { - std::cerr << "WARNING(logprob): Invalid arguments to nsub" <<(*this)<< " " << subs << std::endl; - //abort(); - } - logr = zeron; - return *this; - } - if (a > -tblbnd) - return *this; - logr = subs.logr + subtbl[a]; - return *this; -} - - diff --git a/mgizapp/src/logprob.h b/mgizapp/src/logprob.h deleted file mode 100644 index 14696ac..0000000 --- a/mgizapp/src/logprob.h +++ /dev/null @@ -1,217 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _LOGPROB_H -#define _LOGPROB_H - -// Routines to perform integer exponential arithmetic. -// A number x is represented as n, where x = b**n -// It is assumed that b > 1, something like b = 1.001 - -#include <iostream> -#include <math.h> -#include <algorithm> - -//#define MAX(A,B) ((A) > (B) ? (A) : (B)) -//#define MIN(A,B) ((A) > (B) ? (B) : (A)) - - -class LogProb { -public: - // mj for cross entropy - double base2() const { - return (logr * logb2 / log(2)); - } - - // Constructors - LogProb() : logr(zeron) {} - LogProb(const LogProb &obj) : logr(obj.logr) {} - LogProb(double x) : logr(x == 0.0 ? zeron : round(log(x)/logb2)) {} - // destructor - ~LogProb() {} // default destructor - - operator double() const // converts logr to (double) b**logr - { - if (logr < nmin) return ntof[0]; - if (logr > nmax) return ntof[nmax-nmin]; - return ntof[logr-nmin]; - } - - LogProb &operator=(const LogProb &obj) { logr = obj.logr; return *this; } - int operator!() const { return logr == zeron; } - - // iostream friend specifications - friend std::ostream& operator<<(std::ostream& os, const LogProb &obj); - friend std::istream& operator>>(std::istream& is, LogProb &obj); - friend std::ostream& operator<<=(std::ostream& os, const LogProb &obj); - friend std::istream& operator>>=(std::istream& is, LogProb &obj); - - // arithmetic operators - LogProb &operator+=(const LogProb &add) // logr2 = logb ( b**logr2 + b**logr1 ) - // Add two numbers represented as logarithms. Use the following method: - // b**n + b**m = b**n(1 + b**(m-n)), assuming n >= m. - { - if (add.logr == zeron) - return *this; - if (logr == zeron) - { - logr = add.logr; - return *this; - } - int a = add.logr - logr; - if (a > 0) - { - a = -a; - logr = add.logr; - } - if (a < tblbnd) - return *this; - logr += addtbl[a-tblbnd]; - return *this; - } - - LogProb &operator-=(const LogProb &); // logr2 = logb ( b**logr2 + b**logr1 ) - LogProb operator*(const LogProb &mul) const // logr3 = logr2 + logr1 - { - LogProb result; // start out with result == 0 - if ((logr != zeron) && (mul.logr != zeron)) - result.logr = std::max(logr+mul.logr, zeron); - return result; - } - LogProb operator*(double x) const // logr3 = logr2 + logr1 - { - return (*this)*(LogProb)x; - } - LogProb operator^(const int i) const // logr2 = logr1 * i - { - LogProb result; // start out with result == 0 - // if ((logr != zeron) && (mul.logr != zeron)) - result.logr = logr * i ; - return result; - } - LogProb &operator*=(const LogProb &mul) // logr2 += logr1 - { - if ((logr == zeron) || (mul.logr == zeron)) - logr = zeron; - else - logr = std::max(logr+mul.logr, zeron); - return *this; - } - LogProb operator/(const LogProb &div) const // logr3 = logr2 -logr1 - { - LogProb result; - if (logr != zeron) - result.logr = std::max(logr - div.logr, zeron); - return result; - } - LogProb &operator/=(const LogProb &div) // logr2 -= logr1 - { - if (logr != zeron) - logr = std::max(logr - div.logr, zeron); - return *this; - } - LogProb operator+(const LogProb &l) const // logr3 = logb ( b**logr2 + b**logr1 ) - { LogProb result(*this); result += l; return result; } - LogProb operator-(const LogProb &l) const // logr3 = logb ( b**logr2 - b**logr1 ) - { LogProb result(*this); result -= l; return result; } - LogProb power(const int n) const // logr2 = logr1 * int - { LogProb result(*this); result.logr *= n; return result; } - - // Conditional operators - int operator<(const LogProb &obj) const { return logr < obj.logr; } - int operator<=(const LogProb &obj) const { return logr <= obj.logr; } - int operator>(const LogProb &obj) const { return logr > obj.logr; } - int operator>=(const LogProb &obj) const { return logr >= obj.logr; } - int operator==(const LogProb &obj) const { return logr == obj.logr; } - int operator!=(const LogProb &obj) const { return logr != obj.logr; } - int operator<(double d) const { return ((double)*this) < d; } - int operator<=(double d) const { return ((double)*this) <= d; } - int operator>(double d) const { return ((double)*this) > d; } - int operator>=(double d) const { return ((double)*this) >= d; } - int operator==(double d) const { return ((double)*this) == d; } - int operator!=(double d) const { return ((double)*this) != d; } - - - LogProb &SetZero() { logr = zeron; return *this; } // representation of 0, - LogProb &SetOne() { logr = onen; return *this; } // 1, and - LogProb &SetInf() { logr = infn; return *this; } // inf in logarithm domain - -private: - int logr; // a representation of logarithm - // static constants - static const int initialized; // initialization flag - static const double b; - static const double logb2; - static const int nmin, nmax; - static const int tblbnd; - static const int zeron, onen, infn; // zero, one, and inf in log domain - static const int max_2byte_integer, min_2byte_integer; - - // Arithmetic computation Tables - static double *ntof; - static int *addtbl; - static int *subtbl; - - static int Initialize(); - -public: - static void FreeTables(); - // constants for initializing LogProbs to 0 or 1 - static const LogProb zero; - static const LogProb one; - static const LogProb minus2; - static const LogProb minus4; - static const LogProb minus6; - static const LogProb minus8; - static const LogProb minus10; - static const LogProb minus12; - static const LogProb minus14; - static const LogProb minus16; -}; - -// iostream friend operators -inline std::ostream &operator<<(std::ostream& os, const LogProb &obj) -{ - return os << (double) obj; // output in linear domain, b**logr -} - -inline std::istream &operator>>(std::istream& is, LogProb &obj) -{ - double d; - is >> d; - obj = d; - return is; -} - -inline std::ostream &operator<<=(std::ostream& os, const LogProb &obj) // write binary -{ - os.write((const char *)&obj.logr, sizeof(obj.logr)); - return os; -} - -inline std::istream &operator>>=(std::istream& is, LogProb &obj) -{ - is.read((char *)&obj.logr, sizeof(obj.logr)); - return is; -} - -#endif - diff --git a/mgizapp/src/main.cpp b/mgizapp/src/main.cpp deleted file mode 100644 index b0e6677..0000000 --- a/mgizapp/src/main.cpp +++ /dev/null @@ -1,1128 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ - -#include <strstream> -#include "getSentence.h" -#include "TTables.h" -#include "model1.h" -#include "model2.h" -#include "model3.h" -#include "hmm.h" -#include "file_spec.h" -#include "defs.h" -#include "vocab.h" -#include "Perplexity.h" -#include "Dictionary.h" -#include "utility.h" -#include "Parameter.h" -#include "myassert.h" -#include "D4Tables.h" -#include "D5Tables.h" -#include "transpair_model4.h" -#include "transpair_model5.h" - -#define ITER_M2 0 -#define ITER_MH 5 - -/** - Here we can see that Every model is iterated several times, and we do not need to do it - on all the corpora, instead we will only start a few. - */ -GLOBAL_PARAMETER3(int,Model1_Iterations,"Model1_Iterations","NO. ITERATIONS MODEL 1","m1","number of iterations for Model 1",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model2_Iterations,"Model2_Iterations","NO. ITERATIONS MODEL 2","m2","number of iterations for Model 2",PARLEV_ITER,ITER_M2); -GLOBAL_PARAMETER3(int,HMM_Iterations,"HMM_Iterations","mh","number of iterations for HMM alignment model","mh", PARLEV_ITER,ITER_MH); -GLOBAL_PARAMETER3(int,Model3_Iterations,"Model3_Iterations","NO. ITERATIONS MODEL 3","m3","number of iterations for Model 3",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model4_Iterations,"Model4_Iterations","NO. ITERATIONS MODEL 4","m4","number of iterations for Model 4",PARLEV_ITER,5); -GLOBAL_PARAMETER3(int,Model5_Iterations,"Model5_Iterations","NO. ITERATIONS MODEL 5","m5","number of iterations for Model 5",PARLEV_ITER,0); -GLOBAL_PARAMETER3(int,Model6_Iterations,"Model6_Iterations","NO. ITERATIONS MODEL 6","m6","number of iterations for Model 6",PARLEV_ITER,0); - -GLOBAL_PARAMETER(float, PROB_SMOOTH,"probSmooth","probability smoothing (floor) value ",PARLEV_OPTHEUR,1e-7); -GLOBAL_PARAMETER(float, MINCOUNTINCREASE,"minCountIncrease","minimal count increase",PARLEV_OPTHEUR,1e-7); - -GLOBAL_PARAMETER2(int,Transfer_Dump_Freq,"TRANSFER DUMP FREQUENCY","t2to3","output: dump of transfer from Model 2 to 3",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,Verbose,"verbose","v","0: not verbose; 1: verbose",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(bool,Log,"log","0: no logfile; 1: logfile",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(double,P0,"p0","fixed value for parameter p_0 in IBM-3/4 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER(double,M5P0,"m5p0","fixed value for parameter p_0 in IBM-5 (if negative then it is determined in training)",PARLEV_EM,-1.0); -GLOBAL_PARAMETER3(bool,Peg,"pegging","p","DO PEGGING? (Y/N)","0: no pegging; 1: do pegging",PARLEV_EM,0); - -GLOBAL_PARAMETER(short,OldADBACKOFF,"adbackoff","",-1,0); -GLOBAL_PARAMETER2(unsigned int,MAX_SENTENCE_LENGTH,"ml","MAX SENTENCE LENGTH","maximum sentence length",0,MAX_SENTENCE_LENGTH_ALLOWED); - -GLOBAL_PARAMETER(short, DeficientDistortionForEmptyWord,"DeficientDistortionForEmptyWord","0: IBM-3/IBM-4 as described in (Brown et al. 1993); 1: distortion model of empty word is deficient; 2: distoriton model of empty word is deficient (differently); setting this parameter also helps to avoid that during IBM-3 and IBM-4 training too many words are aligned with the empty word",PARLEV_MODELS,0); - -/** -Here are parameters to support Load models and dump models -*/ - -GLOBAL_PARAMETER(int,restart,"restart","Restart training from a level,0: Normal restart, from model 1, 1: Model 1, 2: Model 2 Init (Using Model 1 model input and train model 2), 3: Model 2, (using model 2 input and train model 2), 4 : HMM Init (Using Model 1 model and train HMM), 5: HMM (Using Model 2 model and train HMM) 6 : HMM (Using HMM Model and train HMM), 7: Model 3 Init (Use HMM model and train model 3) 8: Model 3 Init (Use Model 2 model and train model 3) 9: Model 3, 10: Model 4 Init (Use Model 3 model and train Model 4) 11: Model 4 and on, ",PARLEV_INPUT,0); -GLOBAL_PARAMETER(bool,dumpCount,"dumpcount","Whether we are going to dump count (in addition to) final output?",PARLEV_OUTPUT,false); -GLOBAL_PARAMETER(bool,dumpCountUsingWordString,"dumpcountusingwordstring","In count table, should actual word appears or just the id? default is id",PARLEV_OUTPUT,false); -/// END -short OutputInAachenFormat=0; -bool Transfer=TRANSFER; -bool Transfer2to3=0; -short NoEmptyWord=0; -bool FEWDUMPS=0; -GLOBAL_PARAMETER(bool,ONLYALDUMPS,"ONLYALDUMPS","1: do not write any files",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER(short,NCPUS,"NCPUS","Number of CPUS",PARLEV_EM,2); -GLOBAL_PARAMETER(short,CompactAlignmentFormat,"CompactAlignmentFormat","0: detailled alignment format, 1: compact alignment format ",PARLEV_OUTPUT,0); -GLOBAL_PARAMETER2(bool,NODUMPS,"NODUMPS","NO FILE DUMPS? (Y/N)","1: do not write any files",PARLEV_OUTPUT,0); - -GLOBAL_PARAMETER(WordIndex, MAX_FERTILITY, "MAX_FERTILITY", - "maximal fertility for fertility models", PARLEV_EM, 10); - -Vector<map< pair<int,int>,char > > ReferenceAlignment; - -bool useDict = false; -string CoocurrenceFile; -string Prefix, LogFilename, OPath, Usage, SourceVocabFilename, - TargetVocabFilename, CorpusFilename, TestCorpusFilename, t_Filename, - a_Filename, p0_Filename, d_Filename, n_Filename, dictionary_Filename; - - -// QIN: Variables required for reloading model and continue training - -string prev_t, prev_p0, prev_a, prev_d, prev_d4,prev_d4_2, prev_hmm,prev_n; - -// QIN: And below are for count outputAlignment -string countPrefix; - -Mutex logmsg_lock; -ofstream logmsg; -const string str2Num(int n) { - string number = ""; - do { - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - return (number); -} - -double LAMBDA=1.09; -sentenceHandler *testCorpus=0, *corpus=0; -Perplexity trainPerp, testPerp, trainViterbiPerp, testViterbiPerp; - -string ReadTablePrefix; - -void printGIZAPars(ostream&out) { - out << "general parameters:\n" - "-------------------\n"; - printPars(out, getGlobalParSet(), 0); - out << '\n'; - - out << "No. of iterations:\n-" - "------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_ITER); - out << '\n'; - - out - << "parameter for various heuristics in GIZA++ for efficient training:\n" - "------------------------------------------------------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_OPTHEUR); - out << '\n'; - - out << "parameters for describing the type and amount of output:\n" - "-----------------------------------------------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_OUTPUT); - out << '\n'; - - out << "parameters describing input files:\n" - "----------------------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_INPUT); - out << '\n'; - - out << "smoothing parameters:\n" - "---------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_SMOOTH); - out << '\n'; - - out << "parameters modifying the models:\n" - "--------------------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_MODELS); - out << '\n'; - - out << "parameters modifying the EM-algorithm:\n" - "--------------------------------------\n"; - printPars(out, getGlobalParSet(), PARLEV_EM); - out << '\n'; -} - -const char*stripPath(const char*fullpath) -// strip the path info from the file name -{ - const char *ptr = fullpath + strlen(fullpath) - 1; - while (ptr && ptr > fullpath && *ptr != '/') { - ptr--; - } - if ( *ptr=='/') - return (ptr+1); - else - return ptr; -} - -void printDecoderConfigFile() { - string decoder_config_file = Prefix + ".Decoder.config"; - cerr << "writing decoder configuration file to " - << decoder_config_file.c_str() <<'\n'; - ofstream decoder(decoder_config_file.c_str()); - if (!decoder) { - cerr << "\nCannot write to " << decoder_config_file <<'\n'; - exit(1); - } - decoder - << "# Template for Configuration File for the Rewrite Decoder\n# Syntax:\n" - << "# <Variable> = <value>\n# '#' is the comment character\n" - << "#================================================================\n" - << "#================================================================\n" - << "# LANGUAGE MODEL FILE\n# The full path and file name of the language model file:\n"; - decoder << "LanguageModelFile =\n"; - - decoder - << "#================================================================\n" - << "#================================================================\n" - << "# TRANSLATION MODEL FILES\n# The directory where the translation model tables as created\n" - << "# by Giza are located:\n#\n" - << "# Notes: - All translation model \"source\" files are assumed to be in\n" - << "# TM_RawDataDir, the binaries will be put in TM_BinDataDir\n" - << "#\n# - Attention: RELATIVE PATH NAMES DO NOT WORK!!!\n" - << "#\n# - Absolute paths (file name starts with /) will override\n" - << "# the default directory.\n\n"; - // strip file prefix info and leave only the path name in Prefix - string path = Prefix.substr(0, Prefix.find_last_of("/")+1); - if (path=="") - path="."; - decoder << "TM_RawDataDir = " << path << '\n'; - decoder << "TM_BinDataDir = " << path << '\n' << '\n'; - decoder << "# file names of the TM tables\n# Notes:\n" - << "# 1. TTable and InversTTable are expected to use word IDs not\n" - << "# strings (Giza produces both, whereby the *.actual.* files\n" - << "# use strings and are THE WRONG CHOICE.\n" - << "# 2. FZeroWords, on the other hand, is a simple list of strings\n" - << "# with one word per line. This file is typically edited\n" - << "# manually. Hoeever, this one listed here is generated by GIZA\n\n"; - - int lastmodel; - if (Model5_Iterations>0) - lastmodel = 5; - else if (Model4_Iterations>0) - lastmodel = 4; - else if (Model3_Iterations>0) - lastmodel = 3; - else if (Model2_Iterations>0) - lastmodel = 2; - else - lastmodel = 1; - string lastModelName = str2Num(lastmodel); - string p=Prefix + ".t" + /*lastModelName*/"3" +".final"; - decoder << "TTable = " << stripPath(p.c_str()) << '\n'; - p = Prefix + ".ti.final"; - decoder << "InverseTTable = " << stripPath(p.c_str()) << '\n'; - p=Prefix + ".n" + /*lastModelName*/"3" + ".final"; - decoder << "NTable = " << stripPath(p.c_str()) << '\n'; - p=Prefix + ".d" + /*lastModelName*/"3" + ".final"; - decoder << "D3Table = " << stripPath(p.c_str()) << '\n'; - p=Prefix + ".D4.final"; - decoder << "D4Table = " << stripPath(p.c_str()) << '\n'; - p=Prefix + ".p0_"+ /*lastModelName*/"3" + ".final"; - decoder << "PZero = " << stripPath(p.c_str()) << '\n'; - decoder << "Source.vcb = " << SourceVocabFilename << '\n'; - decoder << "Target.vcb = " << TargetVocabFilename << '\n'; - // decoder << "Source.classes = " << SourceVocabFilename + ".classes" << '\n'; - // decoder << "Target.classes = " << TargetVocabFilename + ".classes" <<'\n'; - decoder << "Source.classes = " << SourceVocabFilename+".classes" << '\n'; - decoder << "Target.classes = " << TargetVocabFilename + ".classes" <<'\n'; - p=Prefix + ".fe0_"+ /*lastModelName*/"3" + ".final"; - decoder << "FZeroWords = " <<stripPath(p.c_str()) << '\n'; - - /* decoder << "# Translation Parameters\n" - << "# Note: TranslationModel and LanguageModelMode must have NUMBERS as\n" - << "# values, not words\n" - << "# CORRECT: LanguageModelMode = 2\n" - << "# WRONG: LanguageModelMode = bigrams # WRONG, WRONG, WRONG!!!\n"; - decoder << "TMWeight = 0.6 # weight of TM for calculating alignment probability\n"; - decoder << "TranslationModel = "<<lastmodel<<" # which model to use (3 or 4)\n"; - decoder << "LanguageModelMode = 2 # (2 (bigrams) or 3 (trigrams)\n\n"; - decoder << "# Output Options\n" - << "TellWhatYouAreDoing = TRUE # print diagnostic messages to stderr\n" - << "PrintOriginal = TRUE # repeat original sentence in the output\n" - << "TopTranslations = 3 # number of n best translations to be returned\n" - << "PrintProbabilities = TRUE # give the probabilities for the translations\n\n"; - - decoder << "# LOGGING OPTIONS\n" - << "LogFile = - # empty means: no log, dash means: STDOUT\n" - << "LogLM = true # log language model lookups\n" - << "LogTM = true # log translation model lookups\n"; - */ -} - -void printAllTables(vcbList& eTrainVcbList, vcbList& eTestVcbList, - vcbList& fTrainVcbList, vcbList& fTestVcbList, model1& m1) { - cerr << "writing Final tables to Disk \n"; - string t_inv_file = Prefix + ".ti.final"; - if ( !FEWDUMPS) - m1.getTTable().printProbTableInverse(t_inv_file.c_str(), - m1.getEnglishVocabList(), m1.getFrenchVocabList(), - m1.getETotalWCount(), m1.getFTotalWCount()); - t_inv_file = Prefix + ".actual.ti.final"; - if ( !FEWDUMPS) - m1.getTTable().printProbTableInverse(t_inv_file.c_str(), - eTrainVcbList.getVocabList(), fTrainVcbList.getVocabList(), - m1.getETotalWCount(), m1.getFTotalWCount(), true); - - string perp_filename = Prefix + ".perp"; - ofstream of_perp(perp_filename.c_str()); - - cout << "Writing PERPLEXITY report to: " << perp_filename << '\n'; - if (!of_perp) { - cerr << "\nERROR: Cannot write to " << perp_filename <<'\n'; - exit(1); - } - - if (testCorpus) - generatePerplexityReport(trainPerp, testPerp, trainViterbiPerp, - testViterbiPerp, of_perp, (*corpus).getTotalNoPairs1(), (*testCorpus).getTotalNoPairs1(), true); - else - generatePerplexityReport(trainPerp, testPerp, trainViterbiPerp, - testViterbiPerp, of_perp, (*corpus).getTotalNoPairs1(), 0, true); - - string eTrainVcbFile = Prefix + ".trn.src.vcb"; - ofstream of_eTrainVcb(eTrainVcbFile.c_str()); - cout << "Writing source vocabulary list to : " << eTrainVcbFile << '\n'; - if (!of_eTrainVcb) { - cerr << "\nERROR: Cannot write to " << eTrainVcbFile <<'\n'; - exit(1); - } - eTrainVcbList.printVocabList(of_eTrainVcb) ; - - string fTrainVcbFile = Prefix + ".trn.trg.vcb"; - ofstream of_fTrainVcb(fTrainVcbFile.c_str()); - cout << "Writing source vocabulary list to : " << fTrainVcbFile << '\n'; - if (!of_fTrainVcb) { - cerr << "\nERROR: Cannot write to " << fTrainVcbFile <<'\n'; - exit(1); - } - fTrainVcbList.printVocabList(of_fTrainVcb) ; - - //print test vocabulary list - - string eTestVcbFile = Prefix + ".tst.src.vcb"; - ofstream of_eTestVcb(eTestVcbFile.c_str()); - cout << "Writing source vocabulary list to : " << eTestVcbFile << '\n'; - if (!of_eTestVcb) { - cerr << "\nERROR: Cannot write to " << eTestVcbFile <<'\n'; - exit(1); - } - eTestVcbList.printVocabList(of_eTestVcb) ; - - string fTestVcbFile = Prefix + ".tst.trg.vcb"; - ofstream of_fTestVcb(fTestVcbFile.c_str()); - cout << "Writing source vocabulary list to : " << fTestVcbFile << '\n'; - if (!of_fTestVcb) { - cerr << "\nERROR: Cannot write to " << fTestVcbFile <<'\n'; - exit(1); - } - fTestVcbList.printVocabList(of_fTestVcb) ; - printDecoderConfigFile(); - if (testCorpus) - printOverlapReport(m1.getTTable(), *testCorpus, eTrainVcbList, - fTrainVcbList, eTestVcbList, fTestVcbList); - -} - -bool readNextSent(istream&is, map< pair<int,int>,char >&s, int&number) { - string x; - if ( !(is >> x)) - return 0; - if (x=="SENT:") - is >> x; - int n=atoi(x.c_str()); - if (number==-1) - number=n; - else if (number!=n) { - cerr << "ERROR: readNextSent: DIFFERENT NUMBERS: " << number << " " - << n << '\n'; - return 0; - } - int nS, nP, nO; - nS=nP=nO=0; - while (is >> x) { - if (x=="SENT:") - return 1; - int n1, n2; - is >> n1 >> n2; - map< pair<int,int>,char >::const_iterator i=s.find(pair<int, int>(n1, - n2)); - if (i==s.end()||i->second=='P') - s[pair<int,int>(n1,n2)]=x[0]; - massert(x[0]=='S'||x[0]=='P'); - nS+= (x[0]=='S'); - nP+= (x[0]=='P'); - nO+= (!(x[0]=='S'||x[0]=='P')); - } - return 1; -} - -bool emptySent(map< pair<int,int>,char >&x) { - x = map<pair<int,int>, char>(); - return 1; -} - -void ReadAlignment(const string&x, Vector<map< pair<int,int>,char > >&a) { - ifstream infile(x.c_str()); - a.clear(); - map< pair<int,int>,char > sent; - int number=0; - while (emptySent(sent) && (readNextSent(infile, sent, number))) { - if (int(a.size())!=number) - cerr << "ERROR: ReadAlignment: " << a.size() << " " << number - << '\n'; - a.push_back(sent); - number++; - } - cout << "Read: " << a.size() << " sentences in reference alignment." - << '\n'; -} - -void initGlobals(void) { - cerr << "DEBUG: Enter"; - NODUMPS = false; - Prefix = Get_File_Spec(); - cerr << "DEBUG: Prefix"; - LogFilename= Prefix + ".log"; - cerr << "DEBUG: Log"; - MAX_SENTENCE_LENGTH = MAX_SENTENCE_LENGTH_ALLOWED; -} - -void convert(const map< pair<int,int>,char >&reference, alignment&x) { - int l=x.get_l(); - int m=x.get_m(); - for (map< pair<int,int>,char >::const_iterator i=reference.begin(); i - !=reference.end(); ++i) { - if (i->first.first+1>int(m)) { - cerr << "ERROR m to big: " << i->first.first << " " - << i->first.second+1 << " " << l << " " << m - << " is wrong.\n"; - continue; - } - if (i->first.second+1>int(l)) { - cerr << "ERROR l to big: " << i->first.first << " " - << i->first.second+1 << " " << l << " " << m - << " is wrong.\n"; - continue; - } - if (x(i->first.first+1)!=0) - cerr << "ERROR: position " << i->first.first+1 << " already set\n"; - x.set(i->first.first+1, i->first.second+1); - } -} - -double ErrorsInAlignment(const map< pair<int,int>,char >&reference, - const Vector<WordIndex>&test, int l, int&missing, int&toomuch, - int&eventsMissing, int&eventsToomuch, int pair_no) { - int err=0; - for (unsigned int j=1; j<test.size(); j++) { - if (test[j]>0) { - map< pair<int,int>,char >::const_iterator i= - reference.find(make_pair(test[j]-1, j-1)); - if (i==reference.end() ) { - toomuch++; - err++; - } else { - if ( !(i->second=='S' || i->second=='P')) { - cerr << "ERROR: wrong symbol in reference alignment '" - << i->second << ' ' << int(i->second) << " no:" << pair_no<< "'\n"; - } - } - eventsToomuch++; - } - } - for (map< pair<int,int>,char >::const_iterator i=reference.begin(); i - !=reference.end(); ++i) { - if (i->second=='S') { - unsigned int J=i->first.second+1; - unsigned int I=i->first.first+1; - if (int(J)>=int(test.size())||int(I)>int(l)||int(J)<1||int(I)<1) - cerr - << "ERROR: alignment outside of range in reference alignment" - << J << " " << test.size() << " (" << I << " " << l - << ") no:" << pair_no << '\n'; - else { - if (test[J]!=I) { - missing++; - err++; - } - } - eventsMissing++; - } - } - if (Verbose) - cout << err << " errors in sentence\n"; - if (eventsToomuch+eventsMissing) - return (toomuch+missing)/(eventsToomuch+eventsMissing); - else - return 1.0; -} - -vcbList *globeTrainVcbList, *globfTrainVcbList; - -double StartTraining(int&result) { - double errors=0.0; - Vector<WordEntry> evlist,fvlist; - vcbList eTrainVcbList(evlist), fTrainVcbList(fvlist); - globeTrainVcbList=&eTrainVcbList; - globfTrainVcbList=&fTrainVcbList; - - // What is being done here? - string repFilename = Prefix + ".gizacfg"; - ofstream of2(repFilename.c_str()); - writeParameters(of2, getGlobalParSet(), -1) ; - // Write another copy of configure file - - cout << "reading vocabulary files \n"; - eTrainVcbList.setName(SourceVocabFilename.c_str()); - fTrainVcbList.setName(TargetVocabFilename.c_str()); - eTrainVcbList.readVocabList(); - fTrainVcbList.readVocabList(); - - // Vocabulary can be optional ?! - - cout << "Source vocabulary list has " << eTrainVcbList.uniqTokens() - << " unique tokens \n"; - - cout << "Target vocabulary list has " << fTrainVcbList.uniqTokens() - << " unique tokens \n"; - - - - corpus = new sentenceHandler(CorpusFilename.c_str(), &eTrainVcbList, &fTrainVcbList); - vcbList eTestVcbList(eTrainVcbList); // Copied directly - vcbList fTestVcbList(fTrainVcbList); - // This portion of code should not be copied to model one - // training - if (TestCorpusFilename == "NONE") - TestCorpusFilename = ""; - /////////////////////////// MODULE_TEST_START ////////////////// - if (TestCorpusFilename != "") { - cout << "Test corpus will be read from: " << TestCorpusFilename << '\n'; - - testCorpus= new sentenceHandler( - TestCorpusFilename.c_str(), - &eTestVcbList, &fTestVcbList); - - cout << " Test total # sentence pairs : " <<(*testCorpus).getTotalNoPairs1() <<" weighted:" <<(*testCorpus).getTotalNoPairs2() <<'\n'; - - cout << "Size of the source portion of test corpus: " - << eTestVcbList.totalVocab() << " tokens\n"; - cout << "Size of the target portion of test corpus: " - << fTestVcbList.totalVocab() << " tokens \n"; - cout << "In source portion of the test corpus, only " - << eTestVcbList.uniqTokensInCorpus() - << " unique tokens appeared\n"; - cout << "In target portion of the test corpus, only " - << fTestVcbList.uniqTokensInCorpus() - << " unique tokens appeared\n"; - cout << "ratio (target/source) : " << double(fTestVcbList.totalVocab()) / eTestVcbList.totalVocab() << '\n'; - } - cout << " Train total # sentence pairs (weighted): " - << corpus->getTotalNoPairs2() << '\n'; - cout << "Size of source portion of the training corpus: " - << eTrainVcbList.totalVocab()-corpus->getTotalNoPairs2() - << " tokens\n"; - cout << "Size of the target portion of the training corpus: " - << fTrainVcbList.totalVocab() << " tokens \n"; - cout << "In source portion of the training corpus, only " - << eTrainVcbList.uniqTokensInCorpus() - << " unique tokens appeared\n"; - cout << "In target portion of the training corpus, only " - << fTrainVcbList.uniqTokensInCorpus() - << " unique tokens appeared\n"; - cout << "lambda for PP calculation in IBM-1,IBM-2,HMM:= " << double(fTrainVcbList.totalVocab()) << "/(" << eTrainVcbList.totalVocab() << "-" - << corpus->getTotalNoPairs2() << ")="; - LAMBDA = double(fTrainVcbList.totalVocab()) - / (eTrainVcbList.totalVocab()-corpus->getTotalNoPairs2()); - cout << "= " << LAMBDA << '\n'; - /////////////////////////// MODULE_TEST_FINISH ///////////////// - // load dictionary - Dictionary *dictionary; - if (useDict) - dictionary = new Dictionary(dictionary_Filename.c_str()); - else - dictionary = new Dictionary(""); - - int minIter=0; - cerr << "Dictionary Loading complete" << endl; - - if (CoocurrenceFile.length()==0) { - cerr << "ERROR: NO COOCURRENCE FILE GIVEN!\n"; - abort(); - } - - //ifstream coocs(CoocurrenceFile.c_str()); - tmodel<COUNT, PROB> tTable(CoocurrenceFile); - cerr << "cooc file loading completed" << endl; - - - // Need to rule out some bad logic - - if(restart == 1 && Model1_Iterations == 0) { // Restart on model 1 but not train on model one - cerr << "You specified to load model 1 and train model 1 (restart == 1) but you specified zero Model 1 iteration, please revise your parameters"; - exit(1); - } - if(restart == 2 && Model2_Iterations == 0) { // Restart on model 2 but not train on model 2 - cerr << "You specified to load model 1 and train model 2 (restart == 2) but you specified zero Model 2 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 3 && Model2_Iterations == 0) { // Restart on model 2 but not train on model 2 - cerr << "You specified to load model 2 and train model 2 (restart == 3) but you specified zero Model 2 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 4 && HMM_Iterations == 0) { // Restart on model 2 but not train on model 2 - cerr << "You specified to load model 1 and train hmm (restart == 4) but you specified zero HMM iteration, please revise your parameters"; - exit(1); - } - - if(restart == 5 && HMM_Iterations == 0) { // Restart on model 2 but not train on model 2 - cerr << "You specified to load model 2 and train hmm (restart == 5) but you specified zero HMM iteration, please revise your parameters"; - exit(1); - } - - if(restart == 6 && HMM_Iterations == 0) { // Restart on model 2 but not train on model 2 - cerr << "You specified to load HMM and train hmm (restart == 6) but you specified zero HMM iteration, please revise your parameters"; - exit(1); - } - - if(restart == 7 && Model3_Iterations == 0) { // Restart on model 3 but not train on model 3 - cerr << "You specified to load HMM and train model 3 (restart == 7) but you specified zero Model 3 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 8 && Model3_Iterations == 0) { // Restart on model 3 but not train on model 3 - cerr << "You specified to load model 2 and train model 3 (restart == 8) but you specified zero Model 3 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 9 && Model3_Iterations == 0) { // Restart on model 3 but not train on model 3 - cerr << "You specified to load model 3 and train model 3 (restart == 9) but you specified zero Model 3 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 10 && Model4_Iterations == 0) { // Restart on model 3 but not train on model 3 - cerr << "You specified to load model 3 and train model 4 (restart == 10) but you specified zero Model 4 iteration, please revise your parameters"; - exit(1); - } - - if(restart == 11 && Model4_Iterations == 0) { // Restart on model 3 but not train on model 3 - cerr << "You specified to load model 4 and train model 4 (restart == 10) but you specified zero Model 4 iteration, please revise your parameters"; - exit(1); - } - - //QIN: If restart level is larger than 0, then we need to load - if (restart > 0){ - cerr << "We are going to load previous model " << prev_t << endl; - if(!tTable.readProbTable(prev_t.c_str())){ - cerr << "Failed reading " << prev_t << endl; - exit(1); - } - } - - - - cerr << "TTable initialization OK" << endl; - // TModel is important! - model1 m1(CorpusFilename.c_str(), eTrainVcbList, fTrainVcbList, tTable, - trainPerp, *corpus, &testPerp, testCorpus, trainViterbiPerp, - &testViterbiPerp); - cerr << "Model one initalization OK" << endl; - amodel<PROB> aTable(false); - - if (restart >2 && restart != 4 ){ // 1 is model 1, 2 is model 2 init, both just need t-table, 4 is directly train HMM from model one - // and we do not need a model - cerr << "We are going to load previous model from " << prev_a << endl; - if(!aTable.readTable(prev_a.c_str())){ - cerr << "Failed reading " << prev_a << endl; - exit(1); - } - } - - amodel<COUNT> aCountTable(false); - model2 m2(m1, aTable, aCountTable); - WordClasses french,english; - hmm h(m2,english,french); - - bool hmmvalid = false; - - if (restart == 6 || restart ==7){ // If we want to initialize model 3 or continue train hmm, need to read jumps - string al = prev_hmm + ".alpha"; - string be = prev_hmm + ".beta"; - cerr << "We are going to load previous (HMM) model from " << prev_hmm <<"," << al << "," << be << endl; - if(!h.probs.readJumps(prev_hmm.c_str(),NULL,al.c_str(),be.c_str())){ - cerr << "Failed reading" << prev_hmm <<"," << al << "," << be << endl; - exit(1); - } - hmmvalid = true; - }else if (restart > 7){ - if (prev_hmm.length() > 0){ - string al = prev_hmm + ".alpha"; - string be = prev_hmm + ".beta"; - cerr << "We are going to load previous (HMM) model from " << prev_hmm <<"," << al << "," << be << endl; - if(!h.probs.readJumps(prev_hmm.c_str(),NULL,al.c_str(),be.c_str())){ - cerr << "Failed reading" << prev_hmm <<"," << al << "," << be << endl ; - cerr << "Continue without hmm" << endl; - hmmvalid = false; - }else - hmmvalid = true; - } - } - nmodel<PROB> nTable(m2.getNoEnglishWords()+1, MAX_FERTILITY); - amodel<PROB> dTable(true); - - if(restart > 8){ // 9, 10, 11 requires ntable and d table, - cerr << "We are going to load previous N model from " << prev_n << endl; - if(!nTable.readNTable(prev_n.c_str())){ - cerr << "Failed reading " << prev_n << endl; - exit(1); - } - cerr << "We are going to load previous D model from " << prev_d << endl; - if(!dTable.readTable(prev_d.c_str())){ - cerr << "Failed reading " << prev_d << endl; - exit(1); - } - - } - - - - model3 m3(m2, dTable, nTable); - if(restart > 8){ - double p0,p1; - if (P0!=-1.0||prev_p0.length()==0) { - p0 = P0; - p1 = 1-P0; - }else{ - cerr << "We are going to load previous P0 Value model from " << prev_p0 << endl; - ifstream ifs(prev_p0.c_str()); - ifs >> p0; - p1 = 1-p0; - } - m3.p0 = p0; - m3.p1 = p1; - } - - // For loading d4 table, we postpone it to model 4 iterations in the line marked with #LOADM4# - - if (ReadTablePrefix.length() ) { - string number = "final"; - string tfile, afilennfile, dfile, d4file, p0file, afile, nfile; //d5file - tfile = ReadTablePrefix + ".t3." + number; - afile = ReadTablePrefix + ".a3." + number; - nfile = ReadTablePrefix + ".n3." + number; - dfile = ReadTablePrefix + ".d3." + number; - d4file = ReadTablePrefix + ".d4." + number; - //d5file = ReadTablePrefix + ".d5." + number ; - p0file = ReadTablePrefix + ".p0_3." + number; - tTable.readProbTable(tfile.c_str()); - aTable.readTable(afile.c_str()); - m3.dTable.readTable(dfile.c_str()); - m3.nTable.readNTable(nfile.c_str()); - sentPair sent; - double p0; - ifstream p0f(p0file.c_str()); - p0f >> p0; - d4model d4m(MAX_SENTENCE_LENGTH,*(new WordClasses()), *(new WordClasses())); - - //d4m.readProbTable(d4file.c_str()); - //d5model d5m(d4m); - //d5m.makeWordClasses(m1.Elist,m1.Flist,SourceVocabFilename+".classes",TargetVocabFilename+".classes"); - //d5m.readProbTable(d5file.c_str()); - makeSetCommand("model4smoothfactor", "0.0", getGlobalParSet(), 2); - //makeSetCommand("model5smoothfactor","0.0",getGlobalParSet(),2); - if (corpus||testCorpus) { - sentenceHandler *x=corpus; - if (x==0) - x=testCorpus; - cout << "Text corpus exists.\n"; - x->rewind(); - while (x&&x->getNextSentence(sent)) { - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - int l=es.size()-1; - int m=fs.size()-1; - transpair_model4 tm4(es, fs, m1.tTable, m2.aTable, m3.dTable, - m3.nTable, 1-p0, p0, &d4m); - alignment al(l, m); - cout << "I use the alignment " << sent.sentenceNo-1 << '\n'; - //convert(ReferenceAlignment[sent.sentenceNo-1],al); - transpair_model3 tm3(es, fs, m1.tTable, m2.aTable, m3.dTable, - m3.nTable, 1-p0, p0, 0); - double p=tm3.prob_of_target_and_alignment_given_source(al, 1); - cout << "Sentence " << sent.sentenceNo << " has IBM-3 prob " - << p << '\n'; - p=tm4.prob_of_target_and_alignment_given_source(al, 3, 1); - cout << "Sentence " << sent.sentenceNo << " has IBM-4 prob " - << p << '\n'; - //transpair_model5 tm5(es,fs,m1.tTable,m2.aTable,m3.dTable,m3.nTable,1-p0,p0,&d5m); - //p=tm5.prob_of_target_and_alignment_given_source(al,3,1); - //cout << "Sentence " << sent.sentenceNo << " has IBM-5 prob " << p << '\n'; - } - } else { - cout << "No corpus exists.\n"; - } - } else { - // initialize model1 - bool seedModel1 = false; - if (Model1_Iterations > 0 && restart < 2) { - if (t_Filename != "NONE" && t_Filename != "") { - seedModel1 = true; - m1.load_table(t_Filename.c_str()); - } - - if(restart ==1) seedModel1 = true; - if(Model2_Iterations == 0 && HMM_Iterations == 0 && - Model3_Iterations == 0 && Model4_Iterations == 0 && - Model5_Iterations == 0 && dumpCount){ // OK we need to output! - minIter=m1.em_with_tricks(Model1_Iterations, seedModel1, - *dictionary, useDict,true, - countPrefix.length() == 0 ? "./" : countPrefix.c_str(), - dumpCountUsingWordString - ); - }else{ - minIter=m1.em_with_tricks(Model1_Iterations, true, - *dictionary, useDict); - } - - - errors=m1.errorsAL(); - } - { - if (Model2_Iterations > 0 && (restart < 2 || restart ==2 || restart == 3)) { - if(restart == 2) m2.initialize_table_uniformly(*corpus); - if(HMM_Iterations == 0 && - Model3_Iterations == 0 && Model4_Iterations == 0 && - Model5_Iterations == 0 && dumpCount){ - minIter=m2.em_with_tricks(Model2_Iterations,true, - countPrefix.length() == 0 ? "./" : countPrefix.c_str(), - dumpCountUsingWordString); - }else{ - minIter=m2.em_with_tricks(Model2_Iterations); - } - errors=m2.errorsAL(); - } - //cout << tTable.getProb(2, 2) << endl; - - - if (HMM_Iterations > 0 && (restart < 2 || restart == 4 || restart == 5 || restart == 6)) { - cout << "NOTE: I am doing iterations with the HMM model!\n"; - - h.makeWordClasses(m1.Elist, m1.Flist, SourceVocabFilename - +".classes", TargetVocabFilename+".classes"); - if(restart != 6) h.initialize_table_uniformly(*corpus); - - if(Model3_Iterations == 0 && Model4_Iterations == 0 && - Model5_Iterations == 0 && dumpCount){ - minIter=h.em_with_tricks(HMM_Iterations,true, - countPrefix.length() == 0 ? NULL : countPrefix.c_str(), - dumpCountUsingWordString, restart == 6); - }else{ - minIter=h.em_with_tricks(HMM_Iterations,false,NULL,false,restart==6); - } - //multi_thread_em(HMM_Iterations, NCPUS, &h); - errors=h.errorsAL(); - } - if ( ((Transfer2to3 && Model2_Iterations>0)||(HMM_Iterations==0&&Model2_Iterations>0)||restart==8) && (restart!=7 && restart < 9)) { - if (HMM_Iterations>0) - cout << "WARNING: transfor is not needed, as results " - "are overwritten bei transfer from HMM.\n"; - string test_alignfile = Prefix +".tst.A2to3"; - if (testCorpus) - m2.em_loop(testPerp, *testCorpus, Transfer_Dump_Freq==1 - &&!NODUMPS, test_alignfile.c_str(), - testViterbiPerp, true); - if (testCorpus) - cout << "\nTransfer: TEST CROSS-ENTROPY " - << testPerp.cross_entropy() << " PERPLEXITY " - << testPerp.perplexity() << "\n\n"; - if (Transfer == TRANSFER_SIMPLE) - m3.transferSimple(*corpus, Transfer_Dump_Freq==1&&!NODUMPS, - trainPerp, trainViterbiPerp); - else - m3.transfer(*corpus, Transfer_Dump_Freq==1&&!NODUMPS, - trainPerp, trainViterbiPerp); - errors=m3.errorsAL(); - } - if(restart >= 7 && hmmvalid){ - h.makeWordClasses(m1.Elist, m1.Flist, SourceVocabFilename - +".classes", TargetVocabFilename+".classes"); - } - if (HMM_Iterations>0 || restart == 7) - m3.setHMM(&h); - else if (restart > 7 && hmmvalid){ - m3.setHMM(&h); - } - - if (Model3_Iterations > 0 || Model4_Iterations > 0 - || Model5_Iterations || Model6_Iterations) { - - if(restart == 11){ // Need to load model 4 - if (Model5_Iterations==0 && Model6_Iterations==0 && dumpCount){ - minIter=m3.viterbi(Model3_Iterations,Model4_Iterations,Model5_Iterations,Model6_Iterations,prev_d4.c_str(),prev_d4_2.c_str() - ,true, - countPrefix.length() == 0 ? "./" : countPrefix.c_str(), - dumpCountUsingWordString); // #LOADM4# - }else{ - minIter=m3.viterbi(Model3_Iterations,Model4_Iterations,Model5_Iterations,Model6_Iterations,prev_d4.c_str(),prev_d4_2.c_str()); - } - }else{ - if (Model5_Iterations==0 && Model6_Iterations==0 && dumpCount){ - minIter=m3.viterbi(Model3_Iterations,Model4_Iterations,Model5_Iterations,Model6_Iterations,NULL,NULL - ,true, - countPrefix.length() == 0 ? "./" : countPrefix.c_str(), - dumpCountUsingWordString); // #LOADM4# - }else{ - minIter=m3.viterbi(Model3_Iterations,Model4_Iterations,Model5_Iterations,Model6_Iterations,NULL,NULL); - } - } - /*multi_thread_m34_em(m3, NCPUS, Model3_Iterations, - Model4_Iterations);*/ - errors=m3.errorsAL(); - } - if (FEWDUMPS||!NODUMPS) { - printAllTables(eTrainVcbList, eTestVcbList, fTrainVcbList, - fTestVcbList, m1); - } - } - } - result=minIter; - return errors; -} - -/*! - Starts here - */ -int main(int argc, char* argv[]) { - //////////////////////////////////////////////////////// - // Setup parameters - /////////////////////////////////////////////////////// - cerr << "Starting MGIZA " << endl; - getGlobalParSet().insert(new Parameter<string>( - "CoocurrenceFile", - ParameterChangedFlag, - "", - CoocurrenceFile, - PARLEV_SPECIAL)); - getGlobalParSet().insert(new Parameter<string>( - "ReadTablePrefix", - ParameterChangedFlag, - "optimized", - ReadTablePrefix,-1)); - - getGlobalParSet().insert(new Parameter<string>("S", - ParameterChangedFlag, - "source vocabulary file name", - SourceVocabFilename, - PARLEV_INPUT)); - getGlobalParSet().insert(new Parameter<string>( - "SOURCE VOCABULARY FILE", - ParameterChangedFlag, - "source vocabulary file name", - SourceVocabFilename,-1)); - - getGlobalParSet().insert(new Parameter<string>("T", - ParameterChangedFlag, - "target vocabulary file name", - TargetVocabFilename, - PARLEV_INPUT)); - getGlobalParSet().insert(new Parameter<string>( - "TARGET VOCABULARY FILE", - ParameterChangedFlag, - "target vocabulary file name", - TargetVocabFilename,-1)); - getGlobalParSet().insert(new Parameter<string>( - "C", - ParameterChangedFlag, - "training corpus file name", - CorpusFilename,PARLEV_INPUT)); - getGlobalParSet().insert(new Parameter<string>( - "CORPUS FILE", - ParameterChangedFlag, - "training corpus file name", - CorpusFilename,-1)); - getGlobalParSet().insert(new Parameter<string>("TC", - ParameterChangedFlag, - "test corpus file name", - TestCorpusFilename, - PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "TEST CORPUS FILE", - ParameterChangedFlag, - "test corpus file name", - TestCorpusFilename,-1)); - - getGlobalParSet().insert(new Parameter<string>("d", - ParameterChangedFlag, - "dictionary file name", - dictionary_Filename, - PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "DICTIONARY", - ParameterChangedFlag, - "dictionary file name", - dictionary_Filename,-1)); - - getGlobalParSet().insert(new Parameter<string>("l", - ParameterChangedFlag, - "log file name", - LogFilename,PARLEV_OUTPUT)); - getGlobalParSet().insert(new Parameter<string>( - "LOG FILE", - ParameterChangedFlag, - "log file name", - LogFilename,-1)); - - getGlobalParSet().insert(new Parameter<string>("o", - ParameterChangedFlag, - "output file prefix", - Prefix,PARLEV_OUTPUT)); - getGlobalParSet().insert(new Parameter<string>( - "OUTPUT FILE PREFIX", - ParameterChangedFlag, - "output file prefix",Prefix,-1)); - - getGlobalParSet().insert(new Parameter<string>( - "OUTPUT PATH", - ParameterChangedFlag, - "output path", - OPath,PARLEV_OUTPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous T", - ParameterChangedFlag, - "The t-table of previous step", - prev_t,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous A", - ParameterChangedFlag, - "The a-table of previous step", - prev_a,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous D", - ParameterChangedFlag, - "The d-table of previous step", - prev_d,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous N", - ParameterChangedFlag, - "The n-table of previous step", - prev_n,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous D4", - ParameterChangedFlag, - "The d4-table of previous step", - prev_d4,PARLEV_INPUT)); - getGlobalParSet().insert(new Parameter<string>( - "Previous D42", - ParameterChangedFlag, - "The d4-table (2) of previous step", - prev_d4_2,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous P0", - ParameterChangedFlag, - "The P0 previous step", - prev_p0,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Previous HMM", - ParameterChangedFlag, - "The hmm-table of previous step", - prev_hmm,PARLEV_INPUT)); - - getGlobalParSet().insert(new Parameter<string>( - "Count Output Prefix", - ParameterChangedFlag, - "The prefix for output counts", - countPrefix,PARLEV_OUTPUT)); - // Timers - time_t st1, fn; - st1 = time(NULL); // starting time - -// cerr << "---------------- " << endl; - // Program Name - - string temp(argv[0]); - Usage = temp + " <config_file> [options]\n"; - - // At least, config file should be provided. - if (argc < 2) { - printHelp(); - exit(1); - } - cerr << "Initializing Global Paras " << endl; - // - initGlobals() ; - - cerr << "Parsing Arguments " << endl; - // - parseArguments(argc, argv); - - - cerr << "Opening Log File " << endl; - if (Log) { - logmsg.open(LogFilename.c_str(), ios::out); - } - - cerr << "Printing parameters " << endl; - - printGIZAPars(cout); - - int a=-1; - - double errors=0.0; - - if (OldADBACKOFF!=0) - cerr - << "WARNING: Parameter -adBackOff does not exist further; use CompactADTable instead.\n"; - - if (MAX_SENTENCE_LENGTH > MAX_SENTENCE_LENGTH_ALLOWED) - cerr << "ERROR: MAX_SENTENCE_LENGTH is too big " << MAX_SENTENCE_LENGTH - << " > " << MAX_SENTENCE_LENGTH_ALLOWED << '\n'; - - // Actually word is done here - errors=StartTraining(a); - - fn = time(NULL); // finish time - - cout << '\n' << "Entire Training took: " << difftime(fn, st1) - << " seconds\n"; - cout << "Program Finished at: "<< ctime(&fn) << '\n'; - cout << "==========================================================\n"; - return 0; -} - diff --git a/mgizapp/src/mkcls/Array.h b/mgizapp/src/mkcls/Array.h deleted file mode 100644 index 5647fd0..0000000 --- a/mgizapp/src/mkcls/Array.h +++ /dev/null @@ -1,370 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef ARRAY_H_DEFINED -#define ARRAY_H_DEFINED -using namespace std; -#include "myassert.h" -#include <algorithm> -#include <string> -#include <utility> -#include <functional> -#include "my.h" - -#define ARRAY_DEBUG - - -template<class T> class Array -{ - private: - T *p; - int realSize; - int maxWritten; - char a; - - void copy(T *a,const T *b,int n); - void copy(T *a,T *b,int n); - void _expand(); - - public: - Array() - : p(0),realSize(0),maxWritten(-1) ,a(1) - { -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY: " << this<<" "<<(void*)p << endl; -#endif - } - Array(const Array<T> &x) - : p(new T[x.maxWritten+1]),realSize(x.maxWritten+1),maxWritten(x.maxWritten),a(x.a) - { - copy(p,x.p,realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY copy: " << this << " " << realSize <<" "<<(void*)p<< endl; -#endif - } - explicit Array(int n) - : p(new T[n]),realSize(n),maxWritten(n-1),a(0) - { -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY with parameter n: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - } - Array(int n,const T&_init,int _a=0) - : p(new T[n]),realSize(n),maxWritten(n-1),a(_a) - { - for(int iii=0;iii<n;iii++)p[iii]=_init; -#ifdef VERY_ARRAY_DEBUG - cout << "MAKE ARRAY with parameter n and init: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - } - - ~Array() - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - delete [] p; - } - - Array<T>& operator=(const Array<T>&x) - { - if( this!= &x ) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - - delete [] p; - realSize = x.maxWritten+1; - maxWritten = x.maxWritten; - a = x.a; - p = new T[realSize]; - copy(p,x.p,realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - } - return *this; - } - - Array<T>& operator=(Array<T>&x) - { - if( this!= &x ) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - delete [] p; - realSize = x.maxWritten+1; - maxWritten = x.maxWritten; - a = x.a; - p = new T[realSize]; - copy(p,x.p,realSize); -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of operator=: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - } - return *this; - } - - void allowAccess(int n) - { - while( realSize<=n ) - _expand(); - maxWritten=max(maxWritten,n); - massert( maxWritten<realSize ); - } - void resize(int n) - { - while( realSize<n ) - _expand(); - maxWritten=n-1; - } - void sort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p,p+until); - } - void invsort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p,p+until,greater<T>()); - } - void init(int n,const T&_init,bool _a=0) - { -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of init: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - delete []p; - p=new T[n]; - realSize=n; - a=_a; - maxWritten=n-1; - for(int iii=0;iii<n;iii++)p[iii]=_init; -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of init: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - } - inline int size() const - {massert( maxWritten<realSize ); - return maxWritten+1;} - inline int low() const - { return 0; } - inline int high() const - { return maxWritten; } - inline bool autoexpand() const - {return a;} - inline void autoexpand(bool autoExp) - {a=autoExp;} - int findMax() const; - int findMin() const; - const void errorAccess(int n) const; - inline T*getPointerToData(){return p;} - - inline T& operator[](int n) - { - if( a && n==maxWritten+1 ) - allowAccess(n); - if( n<0 || n>maxWritten ) - errorAccess(n); - return p[n]; - } - inline const T& operator[](int n) const - { - if(n<0 || n>maxWritten ) - errorAccess(n); - return p[n]; - } - const T&top(int n=0) const - {return (*this)[maxWritten-n];} - T&top(int n=0) - {return (*this)[maxWritten-n];} - T&push(const T&x) - { - (*this)[maxWritten+1]=x; - return top(); - } - bool writeTo(ostream&out) const - { - out << "Array "; - out << size() << " "; - out << a << endl; - for(int iv=0;iv<=maxWritten;iv++) - { - writeOb(out,(*this)[iv]); - out << endl; - } - return 1; - } - bool readFrom(istream&in) - { - string s; - if( !in ) - { - cerr << "ERROR(Array): file cannot be opened.\n"; - return 0; - } - in >> s; - if( !(s=="Array") ) - { - cerr << "ERROR(Array): Array!='"<<s<<"'\n"; - return 0; - } - int biggest; - in >> biggest; - in >> a; - resize(biggest); - for(int iv=0;iv<size();iv++) - { - readOb(in,(*this)[iv]); - } - return 1; - } -}; - -template<class T> bool operator==(const Array<T> &x, const Array<T> &y) -{ - if( &x == &y ) - return 1; - else - { - if( y.size()!=x.size() ) - return 0; - else - { - for(int iii=0;iii<x.size();iii++) - if( !(x[iii]==y[iii]) ) - return 0; - return 1; - } - } -} - -template<class T> bool operator<(const Array<T> &x, const Array<T> &y) -{ - if( &x == &y ) - return 0; - else - { - if( y.size()<x.size() ) - return !(y<x); - for(int iii=0;iii<x.size();iii++) - { - massert( iii!=y.size() ); - if( x[iii]<y[iii] ) - return 1; - else if( y[iii]<x[iii] ) - return 0; - } - return x.size()!=y.size(); - } -} - - -template<class T> const void Array<T>:: errorAccess(int n) const -{ - cerr << "ERROR: Access to array element " << n - << " (" << maxWritten << "," << realSize << "," << (void*)p << " " << a << ")\n"; - cout << "ERROR: Access to array element " << n - << " (" << maxWritten << "," << realSize << "," << (void*)p << " " << a << ")\n"; - massert(0); -#ifndef DEBUG - abort(); -#endif -} - -template<class T> ostream& operator<<(ostream&o,const Array<T>&a) -{ - o << "Array(" << a.size() << "," << a.autoexpand() << "){ "; - for(int iii=0;iii<a.size();iii++) - o << " " << iii<< ":" << a[iii]<<";"; - return o << "}\n"; -} - -template<class T> istream& operator>>(istream&in, Array<T>&) -{return in;} - -template<class T> int Hash(const Array<T>&a) -{ - int n=0; - for(int iii=0;iii<a.size();iii++) - n+=Hash(a[iii])*(iii+1); - return n+a.size()*47; -} -template<class T> void Array<T>::copy(T *aa,const T *bb,int n) -{ - for(int iii=0;iii<n;iii++) - aa[iii]=bb[iii]; -} -template<class T> void Array<T>::copy(T *aa,T *bb,int n) -{ - for(int iii=0;iii<n;iii++) - aa[iii]=bb[iii]; -} - -template<class T> void Array<T>::_expand() -{ -#ifdef VERY_ARRAY_DEBUG - cout << "FREE ARRAY because of _expand: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif - T *oldp=p; - int oldsize=realSize; - realSize=realSize*2+1; - p=new T[realSize]; - copy(p,oldp,oldsize); - delete [] oldp; -#ifdef VERY_ARRAY_DEBUG - cout << "NEW ARRAY because of _expand: " << this << " " << realSize<<" "<<(void*)p << endl; -#endif -} - -template<class T> int Array<T>::findMax() const -{ - if( size()==0 ) - return -1; - else - { - int maxPos=0; - for(int iii=1;iii<size();iii++) - if( (*this)[maxPos]<(*this)[iii] ) - maxPos=iii; - return maxPos; - } -} -template<class T> int Array<T>::findMin() const -{ - if( size()==0 ) - return -1; - else - { - int minPos=0; - for(int iii=1;iii<size();iii++) - if( (*this)[iii]<(*this)[minPos] ) - minPos=iii; - return minPos; - } -} - -#endif diff --git a/mgizapp/src/mkcls/FixedArray.h b/mgizapp/src/mkcls/FixedArray.h deleted file mode 100644 index 39da0b1..0000000 --- a/mgizapp/src/mkcls/FixedArray.h +++ /dev/null @@ -1,287 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#ifndef FIXARRAY_H_DEFINED -#define FIXARRAY_H_DEFINED -#include <iostream> -#include <string> -#include <functional> - -template<class T> -bool writeOb(ostream&out,const T&f) -{ - out << f << " "; - return 1; -} - -template<class T> -bool readOb(istream&in,T&f) -{ - in >> f; - char c; - in.get(c); - massert(c==' '); - return 1; -} - -template<class T> -bool writeOb(ostream&out,const string &s,const T&f) -{ - out << s << " " << f << " "; - return 1; -} -template<class T> -bool readOb(istream&in,const string&s,T&f) -{ - string ss; - in >> ss; - if( s!=ss ) - { - cerr << "ERROR: readOb should be '" << s << "' and is '" << ss << "'" << endl; - return 0; - } - in >> f; - char c; - in.get(c); - massert(c==' '); - return 1; -} - -template<class T> class FixedArray -{ - private: - void copy(T *aa,const T *bb,int nnn) - {for(int iii=0;iii<nnn;iii++)aa[iii]=bb[iii];} - - public: - T *p; - int realSize; - FixedArray() - : p(0),realSize(0){} - FixedArray(const FixedArray<T> &x) - : p(new T[x.realSize]),realSize(x.realSize) {copy(p,x.p,realSize);} - explicit FixedArray(int n) - : p(new T[n]),realSize(n){} - FixedArray(int n,const T&_init) - : p(new T[n]),realSize(n){for(int z=0;z<n;z++)p[z]=_init;} - FixedArray(const FixedArray&f,const T&t) - : p(new T[f.size()+1]),realSize(f.size()+1){for(int z=0;z<f.size();z++)p[z]=f[z];p[f.size()]=t;} - ~FixedArray() - { delete [] p;p=0;realSize=-1;} - - FixedArray<T>& operator=(const FixedArray<T>&x) - { - if( this!= &x ) - { - delete [] p; - realSize = x.realSize; - p = new T[x.realSize]; - copy(p,x.p,realSize); - } - return *this; - } - void resize(int n) - { - if( n<=realSize ) - shrink(n); - else - { - T*np=new T[n]; - copy(np,p,realSize); - delete []p; - p=np; - realSize=n; - } - } - void shrink(int n) - { - assert(n<=realSize); - realSize=n; - } - void init(int n,const T&_init) - { - delete []p; - p=new T[n]; - realSize=n; - for(int l=0;l<n;l++)p[l]=_init; - } - inline const T&top(int n=0) const - {return (*this)[realSize-1-n];} - inline int size() const - {return realSize;} - - inline T*begin(){ return p; } - inline T*end(){ return p+realSize; } - - inline const T*begin()const{ return p; } - inline const T*end()const{return p+realSize;} - - inline int low() const - {return 0;} - inline int high() const - {return realSize-1;} - const void errorAccess(int n) const; - - inline T& operator[](int n) - { - return p[n]; - } - inline const T& operator[](int n) const - { - return p[n]; - } - bool writeTo(ostream&out) const - { - out << "FixedArray "; - out << size() << " "; - for(int a=0;a<size();a++) - { - writeOb(out,(*this)[a]); - out << " "; - } - out << endl; - return 1; - } - bool readFrom(istream&in) - { - string s; - if( !in ) - { - cerr << "ERROR(FixedArray): file cannot be opened.\n"; - return 0; - } - in >> s; - if( !(s=="FixedArray") ) - { - cerr << "ERROR(FixedArray): FixedArray!='"<<s<<"'\n"; - return 0; - } - int biggest; - in >> biggest; - resize(biggest); - for(int a=0;a<size();a++) - readOb(in,(*this)[a]); - return 1; - } - void sort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p,p+until); - } - void invsort(int until=-1) - { - if( until== -1 ) until=size(); - std::sort(p,p+until,greater<T>()); - } - int binary_locate(const T&t) - { - T*ppos=std::lower_bound(p,p+size(),t); - int pos=ppos-p; - if( pos>=-1&&pos<size() ) - return pos; - else - return -1; - } - int binary_search(const T&t) - { - T*ppos=std::lower_bound(p,p+size(),t); - int pos=ppos-p; - if( pos>=0&&pos<size()&& *ppos==t ) - return pos; - else - return -1; - } - typedef T* iterator; - typedef const T* const_iterator; -}; - -template<class T> bool operator<(const FixedArray<T> &x, const FixedArray<T> &y) -{ - return lexicographical_compare(x.begin(),x.end(),y.begin(),y.end()); - -} - - -template<class T> bool operator==(const FixedArray<T> &x, const FixedArray<T> &y) -{ - if( &x == &y )return 1; - const int s = x.size(); - if( s !=y.size() )return 0; - for(int iii=0;iii<s;iii++) - if( !(x.p[iii]==y.p[iii]) ) - return 0; - return 1; -} - -template<class T> int Hash(const FixedArray<T>&a) -{ - int n=0; - const int s=a.size(); - for(int iii=0;iii<s;iii++) - n=13*n+Hash(a.p[iii]); - return n; -} - -template<class T> const void FixedArray<T>:: errorAccess(int n) const -{ - massert(0); - cerr << "ERROR: Access to array element " << n - << " (" << realSize << "," << (void*)p << ")\n"; -} - -template<class T> ostream& operator<<(ostream&o,const FixedArray<T>&a) -{ - o << "FixedArray(" << a.size() << "){ "; - for(int iii=0;iii<a.size();iii++) - o << " " << iii<< ":" << a[iii]<<";"; - return o << "}\n"; -} - -template<class T> istream& operator>>(istream&in, FixedArray<T>&) -{ return in;} - -template<class T> FixedArray<T> operator+(const FixedArray<T>&a,const FixedArray<T>&b) -{ - massert(a.size()==b.size()); - FixedArray<T> x(a.size()); - for(int iii=0;iii<a.size();iii++) - x[iii]=a[iii]+b[iii]; - return x; -} -template<class T> FixedArray<T> operator|(const FixedArray<T>&aaa,const FixedArray<T>&bbb) -{ - iassert(aaa.size()==bbb.size()); - - FixedArray<T> xxx(aaa.size()); - for(int iii=0;iii<aaa.size();iii++) - xxx.p[iii]=aaa.p[iii]||bbb.p[iii]; - return xxx; -} - -#endif - - - diff --git a/mgizapp/src/mkcls/FlexArray.h b/mgizapp/src/mkcls/FlexArray.h deleted file mode 100644 index ede3e9e..0000000 --- a/mgizapp/src/mkcls/FlexArray.h +++ /dev/null @@ -1,48 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef CLASS_FlexArray_defined -#define CLASS_FlexArray_defined -#include "FixedArray.h" - -template<class T> -class FlexArray -{ -private: - FixedArray<T> p; - int start,end; -public: - FlexArray(int _start=0,int _end=-1) - : p(_end-_start+1),start(_start),end(_end) {} - T&operator[](int i) - {return p[i-start];} - const T&operator[](int i)const - {returnp[i-start];} - int low()const{return start;} - int high()const{return end;} -}; - - -#endif diff --git a/mgizapp/src/mkcls/GDAOptimization.cpp b/mgizapp/src/mkcls/GDAOptimization.cpp deleted file mode 100644 index a9e2fa7..0000000 --- a/mgizapp/src/mkcls/GDAOptimization.cpp +++ /dev/null @@ -1,159 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "GDAOptimization.h" -#include "ProblemTest.h" -#include <cmath> - -#define GDAOptimization GDAOptimization -#define IterOptimization IterOptimization - - - -double GDAOptimization::defaultTemperatur=1e100; - - -double GDAOptimization::defaultAlpha=0.001; - - - -GDAOptimization::GDAOptimization(Problem &p,int m) -: IterOptimization(p,m) ,temperatur(defaultTemperatur),alpha(defaultAlpha) -{ -} - - -GDAOptimization::GDAOptimization(Problem &p,double t,double a,int m) -: IterOptimization(p,m) ,temperatur(t) ,alpha(a) -{ -} - - -GDAOptimization::GDAOptimization(GDAOptimization &o) -: IterOptimization(o) -{ - temperatur = o.temperatur; - alpha = o.alpha; - gdaEndFlag = o.gdaEndFlag; -} - - -void GDAOptimization::zInitialize() -{ - IterOptimization::zInitialize(); - if(temperatur==1e100) - { - double v=problem.value(); - - - - - - temperatur=v; - } - assert(alpha>=0); -} - -short GDAOptimization::accept(double delta) -{ - if( curValue + delta < temperatur ) - return 1; - else - return 0; -} - -void GDAOptimization::abkuehlen() -{ - double newTemperatur = temperatur - alpha*(temperatur - curValue); - if( fabs(temperatur - newTemperatur)<1e-30 ) - gdaEndFlag=1; - else - gdaEndFlag=0; - temperatur = newTemperatur; -} - -short GDAOptimization::end() -{ - return ( endFlag>0 ) && ( gdaEndFlag ); -} - -void GDAOptimization::makeGraphOutput() -{ - IterOptimization::makeGraphOutput(); - *GraphOutput << temperatur-curValue; -} - - - - -double GDAOptimization::optimizeValue(Problem &p,int proParameter,int numParameter,int typ, - int optimierungsschritte,int print) -{ - if(typ!=1) - { - cerr << "Error: wrong parameter-type in GDAOptimization::optimizeValue (" - << typ << ")\n"; - exit(1); - } - else - { - double bestPar=-1,best=1e100; - double now; - if( print ) - cout << "#GDA-optimizeValues: " << numParameter<<endl; - - - defaultTemperatur=1e100; - - for(int i=0;i<=numParameter;i++) - { - StatVar end,laufzeit,init; - defaultAlpha = pow(pow(200,1.0/numParameter),i)*0.002; - solveProblem(0,p,proParameter,optimierungsschritte,GDA_OPT,now,end, - laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultAlpha; - } - if( print ) - { - cout << defaultAlpha <<" "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller()<< " "<< end.getSigmaBigger()<< endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit" - " Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultAlpha=0.03; - return bestPar; - } - return 1e100; -} - diff --git a/mgizapp/src/mkcls/GDAOptimization.h b/mgizapp/src/mkcls/GDAOptimization.h deleted file mode 100644 index 33bcec3..0000000 --- a/mgizapp/src/mkcls/GDAOptimization.h +++ /dev/null @@ -1,80 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - -#ifndef GDAOPTIMIZATION -#define GDAOPTIMIZATION -#include "IterOptimization.h" - -class GDAOptimization : public IterOptimization -{ - - private: - double temperatur; - double alpha; - short gdaEndFlag; - - - protected: - virtual void zInitialize(); - - - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - virtual void makeGraphOutput(); - - - public: - GDAOptimization(Problem &p,double temperatur,double alpha, - int maxIter=-1); - - - GDAOptimization(Problem &p,int maxIter=-1); - - - GDAOptimization(GDAOptimization &o); - - - static double optimizeValue(Problem &p,int proParameter, - int numParameter,int typ,int schritte= -1,int verbose=1); - - - - static double defaultTemperatur; - static double defaultAlpha; - -}; -#endif - - diff --git a/mgizapp/src/mkcls/HCOptimization.cpp b/mgizapp/src/mkcls/HCOptimization.cpp deleted file mode 100644 index 0c6a729..0000000 --- a/mgizapp/src/mkcls/HCOptimization.cpp +++ /dev/null @@ -1,57 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "HCOptimization.h" - -HCOptimization::HCOptimization(Problem &p,int m) -: IterOptimization(p,m) -{ - if( maxStep<=0 ) - maxStep=(int)(problem.expectedNumberOfIterations()); -} -HCOptimization::HCOptimization(HCOptimization &o) -: IterOptimization(o) -{ -} - - -short HCOptimization::accept(double delta) -{ - if( delta < 0 ) - return 1; - else - return 0; -} -short HCOptimization::end() -{ - return endFlag>0; -} -void HCOptimization::abkuehlen() -{ -} - - - diff --git a/mgizapp/src/mkcls/HCOptimization.h b/mgizapp/src/mkcls/HCOptimization.h deleted file mode 100644 index ec147b2..0000000 --- a/mgizapp/src/mkcls/HCOptimization.h +++ /dev/null @@ -1,54 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - -#ifndef HCOPTIMIZATION -#define HCOPTIMIZATION -#include "IterOptimization.h" - -class HCOptimization : public IterOptimization -{ - - protected: - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - public: - HCOptimization(Problem &p,int maxIter=-1); - - - HCOptimization(HCOptimization &o); - - -}; -#endif diff --git a/mgizapp/src/mkcls/IterOptimization.cpp b/mgizapp/src/mkcls/IterOptimization.cpp deleted file mode 100644 index 258cb1f..0000000 --- a/mgizapp/src/mkcls/IterOptimization.cpp +++ /dev/null @@ -1,199 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#include "IterOptimization.h" -#include "ProblemTest.h" - -ostream *GraphOutput; - - - -IterOptimization::IterOptimization(Problem& p,int m) - : maxNonBetterIterations(0),problem(p),maxStep(m),initialisiert(0) -{ -} - - - -IterOptimization::IterOptimization(IterOptimization& o) : Optimization(),problem(o.problem) -{ - maxNonBetterIterations=o.maxNonBetterIterations; - curValue = o.curValue; - bestStep = o.bestStep; - bestValue = o.bestValue; - maxStep = o.maxStep; - initialisiert = o.initialisiert; - endFlag = o.endFlag; - endFlag2 = o.endFlag2; -} - - - -double IterOptimization::minimize(int steps) -{ - if( !initialisiert ) - zInitialize(); - - if( steps==0 ) - return curValue; - - int t=0; - int every=(steps<0)?10000:(steps/1000+1); - - do - { - curStep++; - t++; - if(verboseMode&&(curStep%1000==0)) - { - if(steps>0) - cout << "Processed: " << 100.0*(curStep/(double)max(maxStep,1)) << " percent. (IterOptimization run) " - << curValue << " max:" << maxStep << " " << steps << " \r"; - else - cout << "In step:" << curStep << " currentValue: " << curValue - << " bestValue: " << bestValue-curValue << " " << curStep-bestStep << ". \r"; - cout.flush(); - } - - - ProblemChange *change= &(problem.change()); - - - double delta=problem.valueChange(*change); - - - abkuehlen(); - - - if( accept(delta) ) - { - - problem.doChange(*change); - - - curValue+=delta; - - - if( curValue<bestValue-1e-10 ) - { - bestValue=curValue; - bestStep=curStep; - endFlag2=endFlag=0; - } - - if( verboseMode>1 ) - cout<<"in step: "<<curStep<<" accepted with : "<<delta<<endl; - } - - if(curStep - bestStep>maxNonBetterIterations && maxNonBetterIterations>0) - endFlag=1; - if(curStep - bestStep>2*maxNonBetterIterations && maxNonBetterIterations>0) - endFlag2=1; - - - - if( GraphOutput&&((curStep%every)==0) ) - { - makeGraphOutput(); - *GraphOutput<<" "<<delta<<endl; - } - - delete change; - } while( t!=steps && (!end()) && (!problem.endCriterion()) ); - - if( GraphOutput) - { - makeGraphOutput(); - *GraphOutput<<endl; - } - return curValue; -} - - -void IterOptimization::zInitialize() -{ - initialisiert=1; - bestValue=curValue=problem.value(); - maxNonBetterIterations=problem.maxNonBetterIterations(); - bestStep=curStep=0; - endFlag2=endFlag=0; -} - - -void IterOptimization::makeGraphOutput() -{ - - *GraphOutput << curStep << " " <<curValue << " "; -} - - -double IterOptimizationOptimizeParameter(Problem &p, - double ¶meter,double min,double max, - int nRun,int nPar,int verfahren, - double &bv) -{ - if( nPar<=0 ) - return (max+min)/2; - - StatVar end1,time1,init1; - StatVar end2,time2,init2; - double mean1,mean2; - double par1,par2; - - parameter = par1 = min + (max-min)/3; - solveProblem(0,p,nRun,-1,verfahren,mean1,end1,time1,init1); - cout << parameter << " " << mean1 << " " << end1.quantil(0.0) << " " << end1.quantil(1.0) << endl; - - parameter = par2 = min + 2*(max-min)/3; - solveProblem(0,p,nRun,-1,verfahren,mean2,end2,time2,init2); - cout << parameter << " " << mean2 << " " << end2.quantil(0.0) << " " << end2.quantil(1.0) << endl; - - double bestPar,bestVal; - if(mean1<mean2) - { - bestVal = mean1; - bestPar=IterOptimizationOptimizeParameter(p,parameter,min,min+2*(max-min)/3,nRun,nPar-2,verfahren,bestVal); - } - else - { - bestVal = mean2; - bestPar=IterOptimizationOptimizeParameter(p,parameter,min+(max-min)/3,max,nRun,nPar-2,verfahren,bestVal); - } - if( mean1<bestVal&&mean1<=mean2 ) - { - bv = mean1; - return par1; - } - else if(mean2<bestVal && mean2<=mean1) - { - bv = mean2; - return par2; - } - else - { - bv = bestVal; - return bestPar; - } -} diff --git a/mgizapp/src/mkcls/IterOptimization.h b/mgizapp/src/mkcls/IterOptimization.h deleted file mode 100644 index ba39b55..0000000 --- a/mgizapp/src/mkcls/IterOptimization.h +++ /dev/null @@ -1,123 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef ITEROPTIMIZATION -#define ITEROPTIMIZATION - -#include "Optimization.h" - - - - - -#define ANZ_VERSCHLECHTERUNGEN 500 - -extern ostream *GraphOutput; - - -class IterOptimization : public Optimization - { - - - private: - int maxNonBetterIterations; - - - protected: - Problem &problem; - int curStep; - double curValue; - int bestStep; - double bestValue; - int maxStep; - int initialisiert; - short endFlag; - short endFlag2; - - - - - virtual void makeGraphOutput(); - - - virtual short end()=0; - - - virtual void abkuehlen()=0; - - - virtual short accept(double delta)=0; - - - virtual void zInitialize(); - - - public: - IterOptimization(Problem &p,int maxIter=-1); - - - IterOptimization(IterOptimization &o); - - - virtual double minimize(int steps=-1); - - - inline int getCurStep(); - - - inline double getCurrentValue(); - - - inline const Problem& getProblem(); - - -}; - -double IterOptimizationOptimizeParameter(Problem &p, - double ¶meter,double min,double max, - int nRun,int nPar,int verfahren,double &bv); - -inline int IterOptimization::getCurStep() -{ - return curStep; -}; -inline double IterOptimization::getCurrentValue() -{ - return curValue; -}; -inline const Problem& IterOptimization::getProblem() -{ - return problem; -}; - -#endif - - - - diff --git a/mgizapp/src/mkcls/KategProblem.cpp b/mgizapp/src/mkcls/KategProblem.cpp deleted file mode 100644 index 7318fb6..0000000 --- a/mgizapp/src/mkcls/KategProblem.cpp +++ /dev/null @@ -1,1001 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#include <stdlib.h> -#include <stdio.h> -#include "KategProblem.h" -#include "KategProblemTest.h" - -#include "ProblemTest.h" - -extern double SigmaVerfaelschung; - -double h_table[MAX_H_TABLE],l_table[MAX_H_TABLE],hmy_table[MAX_H_TABLE],hmy_sigma; - -double LWRW_Faktor=0.5; - -static int intcompare(const void *p,const void *j) -{ - return *(int *)p - *(int *)j; -} - -KategProblem::KategProblem(int aw,int mak,int _initialisierung,int _auswertung, - int _nachbarschaft,int mindestAnzahl) -: Problem(mak,aw,_initialisierung,_auswertung,_nachbarschaft), - sigmaVerfaelschung(SigmaVerfaelschung),katWasEmpty(0),nwg(mak+2),ngw(mak+2),_katOfWord(aw,-1),words(0),kats(0), - wordFreq(aw,mindestAnzahl),katFreq(mak+2,(_auswertung==CRITERION_MY)?SigmaVerfaelschung:0.0), - initLike(aw,-1) - -{ - if( auswertung == CRITERION_MY ) - cout << "Sigma-Verfaelschung: " << sigmaVerfaelschung << endl; - _maxComp=aw; - _maxCompVal=mak; - massert(katFreq.nKats>0); - massert(mak<=aw); - - - for(int i=1;i<MAX_H_TABLE;i++) - { - h_table[i]=i*log((double)(i)); - l_table[i]=log((double)(i)); - hmy_table[i]=i*log(verfaelsche(i,sigmaVerfaelschung)); - } - hmy_sigma=sigmaVerfaelschung; - l_table[0]=h_table[0]=0; - - if( katwahl()==K_BEST ) - _maxCompVal=1; - -} - -KategProblem::~KategProblem() - -{ - delete words; - delete kats; -} - -void KategProblem::_initialize(int initTyp) -{ - _initialize(initTyp,-1); -} - -void KategProblem::_initialize(int initTyp,int specialFixedWord) - -{ - massert(wordFreq.filled); - initialisierung = initTyp; - int i; - - for(i=0;i<katFreq.nKats;i++) - for(int j=0;j<katFreq.nKats;j++) - katFreq.setN(i,j,0); - - - - - for(i=0;i<wordFreq.nWords;i++) - { - setKatOfWord(i,-1); - if( strcmp(getString(i),"$")==0||strcmp(getString(i),"1$")==0||strcmp(getString(i),"2$")==0||strcmp(getString(i),"3$")==0||strcmp(getString(i),"4$")==0 ) - wordFreq.setDollar(i); - } - wordFreq.init(specialFixedWord); - - - - - _maxComp=wordFreq.nTranspWords; - - switch(initTyp) - { - case INIT_OTHER: - - if(verboseMode>2)cout << "KategProblem::_initialize(INIT_OTHER)\n"; - for(i=0;i<wordFreq.nWords;i++) - fastPutWord(i,initLike[i]); - break; - case INIT_RAN: - - if(verboseMode>2)cout << "KategProblem::_initialize(INIT_RAN)\n"; - for(i=0;i<wordFreq.nWords;i++) - { - if( wordFreq.minIndex[i]>0 && wordFreq.maxIndex[i]>0 ) - fastPutWord(i,wordFreq.minIndex[i]+randomInt(wordFreq.maxIndex[i]-wordFreq.minIndex[i]+1)); - else - fastPutWord(i,2+randomInt(katFreq.nKats-2)); - } - - - break; - case INIT_AIO: - - if(verboseMode>2)cout << "KategProblem::_initialize(INIT_AIO)\n"; - for(i=0;i<wordFreq.nWords;i++) - fastPutWord(i,2); - break; - case INIT_FREQ: - - if(verboseMode>2)cout << "KategProblem::_initialize(INIT_FREQ)\n"; - for(i=0;i<wordFreq.nWords;i++) - { - int to=i+2; - if( to>=katFreq.nKats ) - to=katFreq.nKats-1; - fastPutWord((*(wordFreq.absteigend))[i],to); - } - curComp=katFreq.nKats-2; - break; - case INIT_LWRW: - - { - Array<int> markList(wordFreq.nWords,1); - int to=2; - int i=0; - if(verboseMode>2)cout << "KategProblem::_initialize(INIT_LWRW)\n"; - for(to=2;to<katFreq.nKats*LWRW_Faktor;to++) - { - int w=(*(wordFreq.absteigend))[to-2]; - fastPutWord(w,to); - markList[w]=0; - } - while(to<katFreq.nKats-1 && i<wordFreq.nWords) - { - int toFilled=0; - int word=(*(wordFreq.absteigend))[i]; - if(i%2) - { - ManyFreq &after=wordFreq.after[word]; - for(int j=0;j<after.size();j++) - { - int w=after[j].w; - if( markList[w] ) - fastPutWord(w,to),toFilled++; - markList[w]=0; - } - } - else - { - ManyFreq &before=wordFreq.before[word]; - for(int j=0;j<before.size();j++) - { - int w=before[j].w; - if( markList[w] ) - fastPutWord(w,to),toFilled++; - markList[w]=0; - } - } - i++; - if( toFilled>0 ) - to++; - } - for(i=0;i<wordFreq.nWords;i++) - if(markList[i]) - fastPutWord(i,katFreq.nKats-1); - } - break; - default: - cerr << "Wrong _initialize in KategProblem: " << initTyp << endl; - exit(1); - } - - - - for(int word=0;word<wordFreq.nWords;word++) - { - Array<OneFreq>& aft=wordFreq.after[word]; - - int nAft=aft.size(); - - for(i=0;i<nAft;i++) - katFreq.addN(katOfWord(word),katOfWord(aft[i].w),aft[i].n); - } - - if(verboseMode>2) - { - cout << "\nInitialization of KategProblem:"; - dumpOn(cout); - } -} - -double KategProblem::valueChange(ProblemChange&c) - -{ - numberOfPartEvaluations++; - KategProblemChange &k=*(KategProblemChange *)&c; - fillNWG(k.word); - - return _valueChange(k); -} - - -Problem *KategProblem::makeEqualProblem() - -{ - KategProblem*p = new KategProblem(wordFreq.nWords,katFreq.nKats-2,initialisierung, - auswertung,nachbarschaft); - KategProblemWBC &w=p->wordFreq; - for(int x=0;x<wordFreq.nWords;x++) - { - w.setAfterWords(x,wordFreq.after[x].size()); - w.setBeforeWords(x,wordFreq.before[x].size()); - } - int i; - for(i=0;i<wordFreq.nWords;i++) - { - for(int j=0;j<wordFreq.after[i].size();j++) - w.setFreq(i,wordFreq.after[i][j].w,wordFreq.after[i][j].n); - } - w.testFull(); - w.mindestAnzahl = wordFreq.mindestAnzahl; - if(words) - p->words = new leda_array<string>(*words); - for(i=0;i<wordFreq.nWords;i++) - { - p->setKatOfWord(i,katOfWord(i)); - p->initLike[i]=initLike[i]; - } - p->setValuesFrom(this); - return p; -} - -double KategProblem::nicevalue(double val) - -{ - double v; - if( val!=1e100) - v=val; - else - v=value(); - double h=wordFreq.get_h_of_words(); - double n=wordFreq.numberOfWords(); - double k=0; - if(auswertung == CRITERION_MY) - k=katFreq.myCriterionTerm(); - return exp((v+h-k)/n); -} - -void KategProblem::makeKats() - -{ - if(kats)delete kats; - kats = new leda_array<intSet>(katFreq.nKats); - for(int i=0;i<wordFreq.nWords;i++) - (*kats)[katOfWord(i)].insert(i); -} - -void KategProblem::dumpInfos(ostream &strm) - -{ - strm << ";KategProblem:"; - strm << "cats: " << katFreq.nKats-2 << " words: " << wordFreq.nWords - << endl; -} - -void KategProblem::dumpOn(ostream &strm) - -{ - writeClasses(_katOfWord,*this,strm); - if(PrintBestTo2) - { - dumpInfos(*PrintBestTo2); - makeKats(); - if( kats==0 ) - { - if( words==0 ) - { - for(int i=0;i<wordFreq.nWords;i++) - { - *PrintBestTo2 << i << ":" << katOfWord(i) << " "; - } - } - else - { - for(int i=0;i<wordFreq.nWords;i++) - *PrintBestTo2 << (*words)[i] << ":" << katOfWord(i) << " "; - } - } - else - { - int anzkat=0; - for(int i=0;i<katFreq.nKats;i++) - { - int printed=0; - *PrintBestTo2 << i << ":"; - leda_set<int>&theSet = (*kats)[i]; - if( words==0 ) - { - int nr=0; - forall_set(leda_set<int>,nr,theSet) - { - *PrintBestTo2 << nr << ", "; - printed=1; - } - } - else - { - int nr=0; - forall_set(leda_set<int>,nr,theSet) - { - *PrintBestTo2 << (*words)[nr]<< ","; - printed=1; - } - } - if(printed==1)anzkat++; - *PrintBestTo2 << endl; - } - *PrintBestTo2 << ";I have " << anzkat << " categories used.\n"; - } - *PrintBestTo2 << endl; - Problem::dumpOn(*PrintBestTo2); - } -} - - - - - - -const char *KategProblem::getString(int i) - -{ - if(words==0) - return "<>"; - else - return ((*words)[i]).c_str(); -} - -string KategProblem::getTheString(int i) -{ - return (*words)[i]; -} - -int KategProblem::maxNonBetterIterations() - -{ - if(katwahl()==K_BEST) - return wordFreq.nTranspWords; - else - return katFreq.nKats*wordFreq.nTranspWords; -} - -int KategProblem::expectedNumberOfIterations() - -{ - - if(katwahl()==K_BEST) - return 10*wordFreq.nTranspWords; - else - return 13*katFreq.nKats*wordFreq.nTranspWords; -} - -void KategProblem::makeTitle(char x[512]) - -{ - char *ww; - char *kw; - char *in; - switch(wortwahl()) - { - case W_RAN: - ww="zufaellig"; - break; - case W_DET_DECR: - ww="absteigend"; - break; - case W_DET_INCR: - ww="aufsteigend"; - break; - default: - cerr << "Error: unknown word selection\n"; - exit(1); - } - switch(katwahl()) - { - case K_DET: - kw="rotierend"; - break; - case K_RAN: - kw="zufaellig"; - break; - case K_BEST: - kw="best "; - break; - default: - cout << "Error: unknown cagegory selection\n"; - exit(1); - } - switch(initialisierung) - { - case INIT_RAN: - in="zufaellig "; - break; - case INIT_AIO: - in="all-in-one"; - break; - case INIT_LWRW: - in="lwrw "; - break; - case INIT_FREQ: - in="freq "; - break; - case INIT_OTHER: - in="other "; - break; - default: - cout << "Error: unknown initialization\n"; - exit(1); - } - sprintf(x,"(c:%d,w:%d(%d),ww:%s,kw:%s,in:%s)",katFreq.nKats,wordFreq.nWords, - wordFreq.nTranspWords,ww,kw,in); -} - - - - -int KategProblem::_change(ProblemChange **p) - -{ - *p=0; - int word=curDimension(); - switch( wortwahl() ) - { - case W_RAN: - word=(*(wordFreq.absteigend))[randomInt(wordFreq.nTranspWords)]; - break; - case W_DET_DECR: - word=(*(wordFreq.absteigend))[word]; - break; - case W_DET_INCR: - word=(*(wordFreq.absteigend))[wordFreq.nTranspWords-word-1]; - break; - default: - cerr << "Error: Unknown word selection\n"; - exit(1); - } - - int kat=curDimensionVal()+2; - switch( katwahl() ) - { - case K_RAN: - kat=randomInt(katFreq.nKats-2)+2; - - case K_DET: - - - if( kat==katOfWord(word)||(katWasEmpty&&katFreq.n1(kat)==0) ) - return 0; - else if( wordFreq.minIndex[word]>0 && wordFreq.maxIndex[word]>0 && (kat<wordFreq.minIndex[word]||kat>wordFreq.maxIndex[word])) - { - - return 0; - } - else - { - KategProblemChange *c = new KategProblemChange; - c->toKat=kat; - c->word=word; - c->fromKat=katOfWord(c->word); - massert( c->toKat < katFreq.nKats ); - massert( c->fromKat < katFreq.nKats ); - massert( c->word < wordFreq.nWords ); - massert( c->toKat!=0 && c->toKat!=1 ); - massert( c->fromKat!=0 && c->fromKat!=1 ); - if(katFreq.n1(kat)==0) - katWasEmpty=1; - *p=c; - return 1; - } - break; - case K_BEST: - { - fillNWG(word); - double smallest=1e100; - KategProblemChange &smallestChange = *new KategProblemChange; - short withEmpty=0; - - - int startKat=2; - int endKat=katFreq.nKats; - if( wordFreq.minIndex[word]>0&&wordFreq.maxIndex[word]>0 ) - { - startKat = max(2,wordFreq.minIndex[word]); - endKat = min(katFreq.nKats,wordFreq.maxIndex[word]+1); - } - for(kat=startKat;kat<endKat;kat++) - { - if( kat!=katOfWord(word) && (withEmpty==0 || katFreq.n1(kat) - || katFreq.n2(kat)) ) - { - KategProblemChange c; - c.toKat=kat; - c.word=word; - c.fromKat=katOfWord(word); - double n=_valueChange(c); - if(n<smallest) - { - smallest=n; - smallestChange=c; - } - } - if( katFreq.n1(kat)==0 && katFreq.n2(kat)==0 ) - withEmpty=1; - } - massert(smallest!=1e100); - *p= &smallestChange; - return 1; - } - break; - default: - cerr << "Error: Unknown category selection\n"; - exit(1); - return 0; - } -} - -void KategProblem::_doChange(ProblemChange &c) - -{ - KategProblemChange &k=*(KategProblemChange *)&c; - putWord(k.word,k.toKat); - -} - -void KategProblem::_undoChange(ProblemChange &c) - -{ - KategProblemChange &k=*(KategProblemChange *)&c; - putWord(k.word,k.fromKat); - -} - -void KategProblem::incrementDirection() - -{ - Problem::incrementDirection(); - katWasEmpty=0; - massert( _maxComp==wordFreq.nTranspWords ); -} - -double KategProblem::_value() - -{ - - return katFreq.fullBewertung(auswertung); -} - - -double mkat_h_full(int n,double tf) -{ - - - if( tf>0 ) - return n*log(tf); - else - return 0.0; -} - -double mkat_h_part(int n,double cf) -{ - - - if( cf>0.0 ) - return n*log(cf); - else - return 0.0; -} - -double KategProblem::kat_h_full(int n) -{ - return mkat_h_full(n,verfaelsche(n,sigmaVerfaelschung)); -} -double KategProblem::kat_h_full(double n) -{ - abort(); - return mkat_h_full((int)n,verfaelsche(n,sigmaVerfaelschung)); -} - -double KategProblem::kat_h_part(int n) -{ - return mkat_h_part(n,verfaelsche(n,sigmaVerfaelschung)); -} -double KategProblem::kat_h_part(double n) -{ - abort(); - return mkat_h_part((int)n,verfaelsche(n,sigmaVerfaelschung)); -} - - - - -double KategProblem::nmo_my(int i,int j) - -{ - FreqType n=nstrich(i,j),k=katFreq.n(i,j); - return kat_h_full(n+k)-kat_h_full(k); -} -double KategProblem::nmo(int i,int j) - -{ - FreqType n=nstrich(i,j),k=katFreq.n(i,j); - return kat_h(n+k)-kat_h(k); -} -double KategProblem::nmo_lo(int i,int j,int &e0,int &e1) - -{ - FreqType kij=katFreq.n(i,j); - FreqType nij=nstrich(i,j)+kij; - if( kij!=nij) - { - if( nij==0 ) - e0++; - else if(nij==1) - e1++; - if( kij==0 ) - e0--; - else if(kij==1) - e1--; - } - return nij*kat_mlog(nij-1-rhoLo)-kij*kat_mlog(kij-1-rhoLo); -} - - -double KategProblem::_valueChange(KategProblemChange &k) - -{ - double v=0; - int i=0; - - ursprung=k.fromKat; - ziel=k.toKat; - - if( auswertung==CRITERION_LO ) - { - int e0a=katFreq.eta0,e1a=katFreq.eta1; - v-=nmo_lo(ursprung,ursprung,e0a,e1a)+nmo_lo(ziel,ziel,e0a,e1a) - +nmo_lo(ursprung,ziel,e0a,e1a)+nmo_lo(ziel,ursprung,e0a,e1a); - i=0; - while(i<nwg.anzNot0) - { - int cl=nwg.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo_lo(ursprung,cl,e0a,e1a)+nmo_lo(ziel,cl,e0a,e1a); - i++; - } - i=0; - while(i<ngw.anzNot0) - { - int cl=ngw.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo_lo(cl,ursprung,e0a,e1a)+nmo_lo(cl,ziel,e0a,e1a); - i++; - } - - v+=kat_hlo(katFreq.n1(ursprung)-wordFreq.n1(k.word)) - -kat_hlo(katFreq.n1(ursprung)) - +kat_hlo(katFreq.n2(ursprung)-wordFreq.n2(k.word)) - -kat_hlo(katFreq.n2(ursprung)) - +kat_hlo(katFreq.n1(ziel)+wordFreq.n1(k.word)) - -kat_hlo(katFreq.n1(ziel)) - +kat_hlo(katFreq.n2(ziel)+wordFreq.n2(k.word)) - -kat_hlo(katFreq.n2(ziel)); - - int old0=katFreq.c1_0*katFreq.nKats+katFreq.c2_0*katFreq.nKats - -katFreq.c1_0*katFreq.c2_0; - int nc1_0=katFreq.c1_0,nc2_0=katFreq.c2_0; - if( wordFreq.n1(k.word)>0 && katFreq.n1(ursprung)==wordFreq.n1(k.word) ) - nc1_0++; - if( wordFreq.n2(k.word)>0 && katFreq.n2(ursprung)==wordFreq.n2(k.word) ) - nc2_0++; - if( wordFreq.n1(k.word)>0 && katFreq.n1(ziel)==0 ) nc1_0--; - if( wordFreq.n2(k.word)>0 && katFreq.n2(ziel)==0 ) nc2_0--; - int new0=nc1_0*katFreq.nKats+nc2_0*katFreq.nKats-nc1_0*nc2_0; - v-=kat_etaFkt(e0a,e1a,new0,katFreq.nKats) - -kat_etaFkt(katFreq.eta0,katFreq.eta1,old0,katFreq.nKats); - vassert(NULLFLOAT(Problem::valueChange(k)-v)); - } - else if(auswertung==CRITERION_ML) - { - v-=nmo(ursprung,ursprung)+nmo(ziel,ziel) - +nmo(ursprung,ziel)+nmo(ziel,ursprung); - i=0; - while(i<nwg.anzNot0) - { - int cl=nwg.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo(ursprung,cl)+nmo(ziel,cl); - i++; - } - i=0; - while(i<ngw.anzNot0) - { - int cl=ngw.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo(cl,ursprung)+nmo(cl,ziel); - i++; - } - v+=kat_h(katFreq.n1(ursprung)-wordFreq.n1(k.word)) - -kat_h(katFreq.n1(ursprung)) - +kat_h(katFreq.n2(ursprung)-wordFreq.n2(k.word)) - -kat_h(katFreq.n2(ursprung)) - +kat_h(katFreq.n1(ziel)+wordFreq.n1(k.word)) - -kat_h(katFreq.n1(ziel)) - +kat_h(katFreq.n2(ziel)+wordFreq.n2(k.word)) - -kat_h(katFreq.n2(ziel)); - } - else if( auswertung==CRITERION_MY ) - { - v-=nmo_my(ursprung,ursprung)+nmo_my(ziel,ziel) - +nmo_my(ursprung,ziel)+nmo_my(ziel,ursprung); - i=0; - while(i<nwg.anzNot0) - { - int cl=nwg.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo_my(ursprung,cl)+nmo_my(ziel,cl); - i++; - } - i=0; - while(i<ngw.anzNot0) - { - int cl=ngw.not0[i]; - if( cl!= ursprung && cl!=ziel ) - v -= nmo_my(cl,ursprung)+nmo_my(cl,ziel); - i++; - } - v+=kat_h_part(katFreq.n1(ursprung)-wordFreq.n1(k.word)) - -kat_h_part(katFreq.n1(ursprung)) - +kat_h_part(katFreq.n2(ursprung)-wordFreq.n2(k.word)) - -kat_h_part(katFreq.n2(ursprung)) - +kat_h_part(katFreq.n1(ziel)+wordFreq.n1(k.word)) - -kat_h_part(katFreq.n1(ziel)) - +kat_h_part(katFreq.n2(ziel)+wordFreq.n2(k.word)) - -kat_h_part(katFreq.n2(ziel)); - double bishZusatz = katFreq.myCriterionTerm(); - _doChange(k); - double neuZusatz = katFreq.myCriterionTerm(); - _undoChange(k); - if(verboseMode>2) - cout << "ZUSATZ: " << bishZusatz << " " << neuZusatz << " " <<neuZusatz-bishZusatz<<" " << v << endl; - v+=neuZusatz-bishZusatz; - } - else - { - cerr << "Fatal error: Unknown criterion: '"<<auswertung<<"'\n"; - } - vassert( NULLFLOAT(Problem::valueChange(k)-v) ); - return v; -} - - -void KategProblem::fillNWG(int w) - -{ - if(nwgWord==w) - return; - else - { - Array<OneFreq> &after=wordFreq.after[w]; - int size=after.size(),i; - nww=0; - nwg.init(); - for(i=0;i<size;i++) - { - nwg.addFreq(katOfWord(after[i].w),after[i].n); - if(after[i].w==w) - nww=after[i].n; - } - - Array<OneFreq> &before=wordFreq.before[w]; - size=before.size(); - ngw.init(); - for(i=0;i<size;i++) - ngw.addFreq(katOfWord(before[i].w),before[i].n); - nwgWord=w; - } -} - -void KategProblem::vnstrich(int i,int j) - -{ - cout << ".) " << katFreq.n(i,j) << " "; - if( i==ursprung ) - cout << "a) "<<-nwg.getFreq(j) << " "; - if( i==ziel ) - cout << "b) " <<nwg.getFreq(j) << " "; - - if( j==ursprung ) - cout << "c) " <<-ngw.getFreq(i) << " "; - if( j==ziel ) - cout << "d) " <<+ngw.getFreq(i) << " " ; - - if( i==ursprung && j==ursprung ) - cout << "e) " <<+nww << " "; - if( i==ziel && j==ziel ) - cout << "f) " <<+nww << " " ; - if( i==ursprung && j==ziel ) - cout << "g) " <<-nww << " "; - if( i==ziel && j==ursprung ) - cout << "h) " <<-nww << " "; -} - - - - - -void KategProblem::fastPutWord(int word,int toKat) - -{ - massert(toKat>=0 && toKat<katFreq.nKats); - - - - if( wordFreq.fixedWord[word]>=0 ) - toKat=wordFreq.fixedWord[word]; - massert(katOfWord(word)==-1); - setKatOfWord(word,toKat); -} - -void KategProblem::fixInitLike() -{ - int fixed=0,fixed2=0; - over_arr(initLike,i) - if(initLike[i]>=0 ) - { - fixed++; - if( initLike[i]>=wordFreq.minIndex[i] || initLike[i]==1 ) - wordFreq.fixedWord[i]=initLike[i]; - else - { - wordFreq.fixedWord[i]=wordFreq.minIndex[i]+initLike[i]-2; - fixed2++; - } - initLike[i]=-1; - } - cout << "Fixed from file are: " << fixed << " " << fixed2 << " words.\n"; -} - -void KategProblem::putWord(int word,int toKat) - -{ - massert(toKat!=0);massert(toKat!=1); - massert(word<wordFreq.nWords); - massert(toKat<katFreq.nKats); - massert(wordFreq.fixedWord[word]<0); - int k=katOfWord(word); - massert(k!=0&&k!=1); - Array<OneFreq>& aft=wordFreq.after[word]; - Array<OneFreq>& bef=wordFreq.before[word]; - int nAft=aft.size(); - int nBef=bef.size(); - int i; - if(verboseMode>4) - cout << "putWord(" << word << "," << toKat << ")" << k << " nAft" - << nAft << " nBef" << nBef << " k" << k << "\n"; - - massert( k!=-1 ); - massert( k!=toKat ); - - for(i=0;i<nAft;i++) - { - katFreq.addN(k,katOfWord(aft[i].w),-aft[i].n); - if(verboseMode>4) - cout << k << " " << katOfWord(aft[i].w) << " " << -aft[i].n << endl; - } - for(i=0;i<nBef;i++) - if( bef[i].w!=word ) - { - katFreq.addN(katOfWord(bef[i].w),k,-bef[i].n); - if(verboseMode>4) - cout << katOfWord(bef[i].w) << " " << k << " " << -bef[i].n << endl; - } - - setKatOfWord(word,toKat); - - for(i=0;i<nAft;i++) - katFreq.addN(toKat,katOfWord(aft[i].w),aft[i].n); - for(i=0;i<nBef;i++) - if( bef[i].w!=word ) - katFreq.addN(katOfWord(bef[i].w),toKat,bef[i].n); - -} - - - - - - - - - - -static KategProblemChange theOneKategProblemChange; -static int anzKategProblemChange=0; - -void *KategProblemChange::operator new(size_t size) -{ - anzKategProblemChange++; - massert(anzKategProblemChange>0); - massert(anzKategProblemChange<2); - if( anzKategProblemChange==1 ) - return &theOneKategProblemChange; - else - { - if( verboseMode>1 ) - cout << "generate instance of KategProblemChange: " << size - << " " << anzKategProblemChange<< endl; - return malloc(size); - } -} -void KategProblemChange::operator delete(void *ptr,size_t -) -{ massert(size==sizeof(KategProblemChange)); - anzKategProblemChange--; - if( ptr!= &theOneKategProblemChange) - free(ptr); -} - - - - - - - - - - - - -NWG::NWG(int n) : freq(n,0),timeOfFreq(n,0),not0(n),word(-1) -{ - massert(n>0); - curTime=1; - init(); -} - -void NWG::init() -{ - curTime++; - anzNot0=0; -} - -void NWG::sort() -{ - qsort(not0.getPointerToData(),anzNot0,sizeof(int),intcompare); - massert(anzNot0<=not0.size()); -} - - -int KategProblem::maxDimension() -{ - return _maxComp; -} - -int KategProblem::maxDimensionVal() -{ - return _maxCompVal; -} - diff --git a/mgizapp/src/mkcls/KategProblem.h b/mgizapp/src/mkcls/KategProblem.h deleted file mode 100644 index e5a5a46..0000000 --- a/mgizapp/src/mkcls/KategProblem.h +++ /dev/null @@ -1,439 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - -#ifndef KATEG_OPT_H -#define KATEG_OPT_H -#include <string> - -#include <stdlib.h> -#include "Problem.h" - -extern double rhoLo; - -typedef int Kategory; -typedef int Word; - - - -#ifdef FREQTYPE_DOUBLE -typedef double FreqType; -#else -typedef int FreqType; -#endif - - -#include "KategProblemWBC.h" - - -#include "KategProblemKBC.h" - - -enum { - INIT_RAN=1, - INIT_AIO=2, - INIT_LWRW=3, - INIT_FREQ=4, - INIT_OTHER=5 - }; - - -enum { - W_RAN=(8|16), - W_DET_DECR=(16), - W_DET_INCR =(32) -}; -#define CHOOSE_WORD (8|16|32) - - -enum { - K_DET=(64), - K_RAN=(128), - K_BEST=(64|128) -}; -#define CHOOSE_KAT (64|128) - - -enum { - CRITERION_ML=0, - CRITERION_LO=1, - CRITERION_MY=2 -}; - - - -class NWG -{ - private: - Array<FreqType> freq; - - Array<int> timeOfFreq; - - - - - int curTime; - public: - NWG(int n); - void init(); - - int anzNot0; - - - Array<int> not0; - - int word; - - inline void addFreq(int C,FreqType n); - - void sort(); - - FreqType getFreq(int i) - { - if( timeOfFreq[i]==curTime ) - return freq[i]; - else - return 0; - }; -}; - -inline void NWG::addFreq(int g,FreqType n) -{ - if(timeOfFreq[g]==curTime) - freq[g]+=n; - else - { - timeOfFreq[g]=curTime; - freq[g]=n; - not0[anzNot0++]=g; - } -} - - - -struct KategProblemChange : public ProblemChange -{ - void *operator new(size_t size); - void operator delete(void *ptr,size_t size); - - int word; - int toKat; - int fromKat; -}; - -class KategProblem : public Problem -{ - private: - double kat_h_full(int n); - double kat_h_full(double n); - double kat_h_part(int n); - double kat_h_part(double n); - double sigmaVerfaelschung; - short katWasEmpty; - - - - int nwgWord; - - NWG nwg; - NWG ngw; - FreqType nww; - - int ursprung,ziel; - - Array<int> _katOfWord; - - int _maxComp,_maxCompVal; - - double nmo_my(int i,int j); - double nmo(int i,int j); - - - double nmo_lo(int i,int j,int &e0,int &e1); - - - void putWord(int word,int to); - - - void fastPutWord(int word,int to); - - - void setKatOfWord(int w,int k) -{ - if( !(wordFreq.fixedWord[w]==k||wordFreq.fixedWord[w]==-1||k==-1) ) - { - cout << "mkcls::setKatOfWord::ERROR: " << w << " " << k << " " << wordFreq.fixedWord[w] << " " << (*words)[w] << endl; - } - _katOfWord[w]=k; - nwgWord=-1; -}; - - - void fillNWG(int w); - - - inline FreqType nstrich(int i,int j); - - - void vnstrich(int i,int j); - - - - protected: - virtual int _change(ProblemChange **p); - - - virtual void _doChange(ProblemChange &c); - - - virtual void _undoChange(ProblemChange &c); - - - virtual double _value(); - - - double _valueChange(KategProblemChange &k); - - - virtual void incrementDirection(); - - - virtual int maxDimensionVal(void) ; - - - virtual int maxDimension(void) ; - - -public: - leda_array<string> *words; -typedef leda_set<int> intSet; - -leda_array<intSet> *kats; - - KategProblemWBC wordFreq; - KategProblemKBC katFreq; - - Array<int> initLike; - - KategProblem(int aw,int mak,int _initialisierung,int _auswertung, - int _nachbarschaft,int minw=0); - - - virtual ~KategProblem(); - - - virtual void _initialize(int initTyp); - virtual void _initialize(int initTyp,int specialFixedWord); - - - virtual double valueChange(ProblemChange&c); - - - virtual Problem *makeEqualProblem(); - - - virtual double nicevalue(double value=1e100); - - - void makeKats(); - - - virtual void dumpOn(ostream &strm); - - - virtual void dumpInfos(ostream &strm); - - - - - - inline void katwahl(int k); - - - inline void wortwahl(int w); - - - - - - inline int katOfWord(int w); - - - inline short wortwahl(); - - - inline short katwahl() ; - - - virtual int maxNonBetterIterations(); - - - virtual int expectedNumberOfIterations(); - - - const char *getString(int i); - string getTheString(int i); - - - void makeTitle(char x[512]); - - - void fixInitLike(); - -}; - -inline int KategProblem::katOfWord(int w){return _katOfWord[w];}; -inline short KategProblem::wortwahl(){return nachbarschaft&CHOOSE_WORD;}; -inline short KategProblem::katwahl() {return nachbarschaft&CHOOSE_KAT;}; - -inline void KategProblem::katwahl(int k) - { - nachbarschaft = (nachbarschaft&(~CHOOSE_KAT)) | k; - if(k==K_BEST) - _maxCompVal=1; - else - _maxCompVal=katFreq.nKats-2; - }; - -inline void KategProblem::wortwahl(int w) - { - nachbarschaft = (nachbarschaft&(~CHOOSE_WORD)) | w; - }; - - - -inline FreqType KategProblem::nstrich(int i,int j) -{ - FreqType n=0; - - if( i==ursprung ) - n-=nwg.getFreq(j); - if( i==ziel ) - n+=nwg.getFreq(j); - - if( j==ursprung ) - n-=ngw.getFreq(i); - if( j==ziel ) - n+=ngw.getFreq(i); - - if( i==ursprung && j==ursprung ) - n+=nww; - if( i==ziel && j==ziel ) - n+=nww; - - if( i==ursprung && j==ziel ) - n-=nww; - if( i==ziel && j==ursprung ) - n-=nww; - - return n; -} - - - - - -#define MAX_H_TABLE 4000 -extern double h_table[],l_table[],hmy_table[],hmy_sigma; - - -inline double kat_mlog(double x) -{ - if(x<=1e-9) - return 0; - else - return log(x); -} - - -inline double kat_mlog(int s) -{ - if(s<=0) - return 0; - else if( s<MAX_H_TABLE ) - { - massert( s==0 || l_table[s]==log(s) ); - return l_table[s]; - } - else - return log((double)(s)); -} - - - -inline double kat_hlo(int n) -{ - return n*kat_mlog(n-1); -} - -inline double kat_hlo(double n) -{ - return n*kat_mlog(n-1); -} - - -inline double kat_h(int n) -{ - massert(n>=-1); - if(n<=0) - return 0; - else - if(n<MAX_H_TABLE) - { - massert(n==0||fabs(h_table[n]-n*log((double)n))<1e-8); - return h_table[n]; - } - else - return n*log((double)(n)); -} -inline double kat_h(double n) -{ - if(n<=1e-9) - return 0; - else - return n*log(n); -} - - -inline double kat_etaFkt(int _e0,int e1,int immer0,int cats) -{ - int e0 = _e0 - immer0; - int ePlus = cats*cats - _e0; - if(cats*cats-e0>1) - return e1*log( (ePlus-1.0)/(e0+1.0)*rhoLo ); - else - return 0; -} - -double mkat_h_full(int n,double tf); -double mkat_h_part(int n,double cf); - -int Hash(const string& s); - - -#endif - diff --git a/mgizapp/src/mkcls/KategProblemKBC.cpp b/mgizapp/src/mkcls/KategProblemKBC.cpp deleted file mode 100644 index 97c40fc..0000000 --- a/mgizapp/src/mkcls/KategProblemKBC.cpp +++ /dev/null @@ -1,243 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include <stdlib.h> -#include "KategProblem.h" - -double rhoLo=0.75; -#define MAX_VERFAELSCHUNG 5000 -double verfTab[MAX_VERFAELSCHUNG],verfTabSigma=-1.0; -double verfaelsche(int a,double b) -{ - - if( a>=0&&verfTabSigma==b&&a<MAX_VERFAELSCHUNG ) - { - massert(verfTab[a]== b*(erf(10000.0) - erf(a/b))/2+a); - return verfTab[a]; - } - else - { - double x = b*(erf(10000.0) - erf(a/b))/2+a; - return x; - } -} -double verfaelsche(double,double b) -{ - abort(); - return b; -} - -KategProblemKBC::KategProblemKBC(int s,double sv) : - _n(s),_n1(s,0),_n2(s,0),sigmaVerfaelschung(sv),withVerfaelschung(sv!=0.0), - _nverf(s),_n1verf(s,0.0),_n2verf(s,0.0),_nWords(0), - eta0(s*s),eta1(0),c1_0(s),c2_0(s), - _bigramVerfSum(0.0),_unigramVerfSum1(0.0),_unigramVerfSum2(0.0),nKats(s) - -{ - verfInit0=0.0; - int i; - if( withVerfaelschung ) - { - verfInit0=verfaelsche(0,sv); - cout << "VERFAELSCHUNG wird mitgefuehrt => LANGSAMER!!!\n"; - } - for(i=0;i<s;i++) - { - _n[i].init(s,0); - _nverf[i].init(s,verfInit0); - _n1verf[i]=_n2verf[i]=verfInit0; - _bigramVerfSum+=verfInit0*s; - _unigramVerfSum1+=verfInit0; - _unigramVerfSum2+=verfInit0; - } - if( withVerfaelschung ) - { - cout << "VERFAELSCHUNG " << _bigramVerfSum << " " << _unigramVerfSum1 << " " << _unigramVerfSum2 << endl; - } - verfTabSigma=sigmaVerfaelschung; - - - -} - -void KategProblemKBC::setN(int w1,int w2, FreqType n) - -{ - addN(w1,w2,-_n[w1][w2]); - addN(w1,w2,n); -} - - -double KategProblemKBC::fullBewertung(int auswertung) -{ - - double bewertung=0; - int c1,c2; - - - switch( auswertung ) - { - case CRITERION_ML: - for(c1=0;c1<nKats;c1++) - { - for(c2=0;c2<nKats;c2++) - bewertung-=kat_h(_n[c1][c2]); - bewertung+=kat_h(_n1[c1])+kat_h(_n2[c1]); - } - break; - case CRITERION_MY: - { - for(c1=0;c1<nKats;c1++) - { - for(c2=0;c2<nKats;c2++) - bewertung-=mkat_h_full((int)n(c1,c2),nverf(c1,c2)); - bewertung+=mkat_h_part((int)(n1(c1)),n1verf(c1))+mkat_h_part((int)(n2(c1)),n2verf(c1)); - } - double u1=_unigramVerfSum1-verfInit0*c1_0; - double u2=_unigramVerfSum2-verfInit0*c2_0; - double b=_bigramVerfSum-verfInit0*(c1_0*nKats+c2_0*nKats-c1_0*c2_0); - if( verboseMode>1 ) - { - cout << "CRITERION_MY: " << bewertung << endl; - cout << "U1:"<<_unigramVerfSum1 << " n:"<<u1<< " " - << "U2:"<<_unigramVerfSum2 << " n:"<<u2<< " " - << "U3:"<<_bigramVerfSum << " n:"<<b<< endl; - } - if(b>0.000001) - { - - - if(verboseMode>1 ) - cout << " NEU: " <<_nWords*log( u1 * u2 / b ) << endl; - bewertung -= _nWords*log( u1 * u2 / b ); - if(verboseMode>1) - cout << "SCHLUSSBEWERTUNG: " << bewertung << endl; - } - else - cout << "B zu klein " << b << endl; - } - break; - case CRITERION_LO: - for(c1=0;c1<nKats;c1++) - { - for(c2=0;c2<nKats;c2++) - bewertung-=_n[c1][c2]*kat_mlog(_n[c1][c2]-1-rhoLo); - bewertung+=_n1[c1]*kat_mlog(_n1[c1]-1)+_n2[c1]*kat_mlog(_n2[c1]-1); - } - bewertung-=kat_etaFkt(eta0,eta1,(c1_0*nKats+c2_0*nKats-c1_0*c2_0),nKats); - break; - default: - cerr << "Error: wrong criterion " << auswertung << endl; - exit(1); - } - return bewertung; -} - -double KategProblemKBC::myCriterionTerm() -{ - iassert( withVerfaelschung ); - double r; - double u1=_unigramVerfSum1-verfInit0*c1_0; - double u2=_unigramVerfSum2-verfInit0*c2_0; - double b=_bigramVerfSum-verfInit0*(c1_0*nKats+c2_0*nKats-c1_0*c2_0); - - - if( verboseMode>1 ) - { - cout << "nwords divisor:"<<_nWords << " " << u1 * u2 / b << endl; - cout << "ergebnis: "<<_nWords*log( u1 * u2 / b ) << endl; - cout << "0: "<<c1_0 << endl; - } - r = _nWords*log( u1 * u2 / b ); - - return -r; -} - - - - -double KategProblemKBC::bigramVerfSum() -{ - double sum=0; - for(int c1=0;c1<nKats;c1++) - for(int c2=0;c2<nKats;c2++) - sum+=nverf(c1,c2); - cout << "BIGRAMVERFSUM: " << sum << endl; - return sum; -} - -double KategProblemKBC::unigramVerfSum1() -{ - double sum=0; - for(int c1=0;c1<nKats;c1++) - sum+=n1verf(c1); - cout << "UNIGRAMVERFSUM1: " << sum << endl; - return sum; -} - -double KategProblemKBC::unigramVerfSum2() -{ - double sum=0; - for(int c1=0;c1<nKats;c1++) - sum+=n2verf(c1); - cout << "UNIGRAMVERFSUM2: " << sum << endl; - return sum; -} - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/mgizapp/src/mkcls/KategProblemKBC.h b/mgizapp/src/mkcls/KategProblemKBC.h deleted file mode 100644 index 4bac62a..0000000 --- a/mgizapp/src/mkcls/KategProblemKBC.h +++ /dev/null @@ -1,157 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef KATEGPROBLEMKBC_H -#define KATEGPROBLEMKBC_H - -typedef Array<FreqType> FreqArray; -typedef Array<double> FreqArrayReal; - - -double verfaelsche(int a,double b); -double verfaelsche(double a,double b); - -class KategProblemKBC - - -{ - friend class KategProblem; - - private: - Array<FreqArray> _n; - Array<FreqType> _n1; - - Array<FreqType> _n2; - - - double sigmaVerfaelschung; - short withVerfaelschung; - - Array<FreqArrayReal> _nverf; - Array<double> _n1verf; - Array<double> _n2verf; - FreqType _nWords; - - protected: - int eta0; - int eta1; - int c1_0; - int c2_0; - double _bigramVerfSum; - double _unigramVerfSum1; - double _unigramVerfSum2; - double verfInit0; - - public: - int nKats; - - KategProblemKBC(int nKats,double sv); - - - double fullBewertung(int auswertung); - - - FreqType n(int w1,int w2) { return _n[w1][w2]; }; - - - FreqType n1(int w) { return _n1[w];}; - - - FreqType n2(int w) { return _n2[w];}; - - - double bigramVerfSum(); - double unigramVerfSum1(); - double unigramVerfSum2(); - - double nverf(int w1,int w2) { return _nverf[w1][w2]; } - - double n1verf(int w) { return _n1verf[w]; }; - - double n2verf(int w) { return _n2verf[w]; }; - - inline void addN(int w1,int w2, FreqType n); - - - void setN(int w1,int w2, FreqType n); - - - double myCriterionTerm(); - -}; - -inline void KategProblemKBC::addN(int w1,int w2, FreqType n) -{ - if(n!=0) - { - FreqType &s= _n[w1][w2]; - if(s==0) - eta0--; - else if(s==1) - eta1--; - if(_n1[w1]==0) - c1_0--; - if(_n2[w2]==0) - c2_0--; - - if(withVerfaelschung) - { - double verfOld=verfaelsche(s,sigmaVerfaelschung); - double verfNew=verfaelsche(s+n,sigmaVerfaelschung); - double verfOld1=verfaelsche(_n1[w1],sigmaVerfaelschung); - assert(verfOld1==_n1verf[w1]); - double verfNew1=verfaelsche(_n1[w1]+n,sigmaVerfaelschung); - double verfOld2=verfaelsche(_n2[w2],sigmaVerfaelschung); - assert(verfOld2==_n2verf[w2]); - double verfNew2=verfaelsche(_n2[w2]+n,sigmaVerfaelschung); - _n1verf[w1]=verfNew1; - _unigramVerfSum1+=verfNew1-verfOld1; - _n2verf[w2]=verfNew2; - _unigramVerfSum2+=verfNew2-verfOld2; - _nverf[w1][w2]=verfNew; - _bigramVerfSum+=verfNew-verfOld; - _nWords+=n; - } - s+=n;_n1[w1]+=n;_n2[w2]+=n; - - assert(_n[w1][w2]>=0); - assert(_n1[w1]>=0); - assert(_n2[w2]>=0); - - if(s==0) - eta0++; - else if(s==1) - eta1++; - if(_n1[w1]==0) - c1_0++; - if(_n2[w2]==0) - c2_0++; - } -}; -#endif diff --git a/mgizapp/src/mkcls/KategProblemTest.cpp b/mgizapp/src/mkcls/KategProblemTest.cpp deleted file mode 100644 index 8c76ce5..0000000 --- a/mgizapp/src/mkcls/KategProblemTest.cpp +++ /dev/null @@ -1,700 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "KategProblemTest.h" - -#include "ProblemTest.h" -#include "HCOptimization.h" -#include "TAOptimization.h" -#include "RRTOptimization.h" -#include "GDAOptimization.h" - -#include <stdlib.h> -#include <stdio.h> -#include <string> -#include <strstream> - -typedef pair<string,string> PSS; - -#define NEW_SENTENCE_END "mkcls-mapped-dollar-symbol-$" - -#ifdef NeXT -char *strdup(char *a) -{ - char *p = (char *)malloc(strlen(a)+1); - strcpy(p,a); - return p; -} - -#endif - - -void writeClasses(Array<Kategory> &katOfWord,KategProblem &problem,ostream &to) -{ - for(int i=0;i<katOfWord.size();i++) - { - if( strcmp(problem.getString(i),"$") ) - if( strcmp(problem.getString(i),"mkcls-mapped-dollar-symbol-$")==0 ) - to << "$" << "\t" << katOfWord[i] << endl; - else - to << problem.getString(i) << "\t" << katOfWord[i] << endl; - } -} - - -void mysplit(const string &s,string &s1,string &s2) -{ - unsigned int i=0; - for(;i<s.length();i++)if( s[i]==' ' || s[i]=='\t' || s[i]==' ')break; - s1=s.substr(0,i); - for(;i<s.length();i++)if( !(s[i]==' ' || s[i]=='\t' || s[i]==' ') )break; - s2=s.substr(i,s.length()-i); - - iassert(s1.size()); - iassert(s2.size()); -} - - - -int fromCatFile(KategProblem *p,const char *fname,bool verb) -{ - leda_h_array<string,int> translation(-1); - int maxCat=2; - ifstream in(fname); - if(!in) - { - cerr << "Error: File '" << fname << "' cannot be opened.\n"; - exit(1); - } - for(int i=0;i<p->wordFreq.nWords;i++) - (p->initLike)[i]= -1; - - - translation["1"]=1; - translation["0"]=0; - - - string s; - while( getline(in,s) ) - { - string str,categ; - mysplit(s,str,categ); - int i=p->words->binary_locate(str); - if(i>=0 && (*(p->words))[i]==str ) - { - - if( translation[categ]==-1 ) - translation[categ]=maxCat++; - int cat=translation[categ]; - if( (p->initLike)[i]!= -1 ) - cerr << "Warning: Word '" << ((*(p->words))[i])<< "' is already in a category.\n"; - (p->initLike)[i]=cat; - } - else - cerr << "Warning: Word '" << str << "' " << i << " is not in training corpus.\n"; - } - - if( verboseMode ) - cout << "We have " << maxCat << " read non-empty categories" - " (with words from the corpus).\n"; - - if(maxCat>p->katFreq.nKats) - { - cerr << "Error: Not enough categories reserved (only " - << p->katFreq.nKats << ", but i need " << maxCat << ").\n"; - exit(1); - } - - - int i=p->words->binary_locate("$"); - if( i>=0 && (*(p->words))[i]=="$" ) - (p->initLike)[i]=0; - else - if( verboseMode ) - cerr << "Warning: No '$' in vocabulary!\n"; - - - int errors=0; - for(i=0;i<p->wordFreq.nWords;i++) - if((p->initLike)[i]== -1 ) - { - if( verb ) cerr << "Error: I don't know the category of word " << i - << " (" << (*(p->words))[i] << ") " << ".\n"; - errors=1; - } - return errors; -} - - - -KategProblem *makeKategProblem(const leda_h_array<PSS,FreqType>&cTbl,const leda_set<string>&setVokabular, int maxClass,int initialisierung, - int auswertung,int nachbarschaft,int minWordFrequency) -{ - - int nwrd=0; - leda_array<string>&sVok = *new leda_array<string>(setVokabular.size()); - string s; - unsigned int ctr=0; - forall_set(leda_set<string>,s,setVokabular) - { - if( verboseMode>2 ) - cout << "mkcls:Wort " << ctr << " " << s << endl; - sVok[ctr++]=s; - } - for(unsigned int z=0;z<ctr-1;z++) - iassert( sVok[z]<sVok[z+1] ); - sVok.sort(); - - if( verboseMode>2 ) - cout << "*****Vocabulary: " << sVok; - - unsigned int vokSize=sVok.size(); - massert(vokSize==ctr); massert(vokSize==setVokabular.size()); - if(verboseMode) - {cout << "Size of vocabulary: " << vokSize << "\n";cout.flush();} - - KategProblem *k = new KategProblem(vokSize,maxClass,initialisierung, - auswertung,nachbarschaft,minWordFrequency); - KategProblemWBC &w=k->wordFreq; - k->words=&sVok; - - Array<int> after(vokSize,0); - Array<int> before(vokSize,0); - - - nwrd=0; - { - PSS s; - forall_defined_h2(PSS,FreqType,s,cTbl) - { - const string&ss1=s.first; - const string&ss2=s.second; - if( ss2.length()&&(ss1!="$" || ss2!="$") ) - { - int i1=sVok.binary_search(ss1); - int i2=sVok.binary_search(ss2); - iassert( sVok[i1] == ss1 );iassert( sVok[i2] == ss2 ); - after[i1]++; - before[i2]++; - } - if( verboseMode&&((nwrd++)%10000==0) ) - {cout<<"Statistiken-1 " << nwrd<< ". \r";cout.flush();} - } - } - - for(unsigned int i=0;i<vokSize;i++) - { - w.setAfterWords(i,after[i]); - w.setBeforeWords(i,before[i]); - } - - - { - nwrd=0; - PSS s; - forall_defined_h2(PSS,FreqType,s,cTbl) - { - const string&ss1=s.first; - const string&ss2=s.second; - FreqType p=cTbl[s]; - if( ss2.length()&&(ss1!="$" || ss2!="$") ) - { - int i1=sVok.binary_search(ss1); - int i2=sVok.binary_search(ss2); - iassert( sVok[i1] == ss1 );iassert( sVok[i2] == ss2 ); - w.setFreq(i1,i2,p); - if( verboseMode>2 ) - cout << "BIGRAMM-HAEUF: " << ss1 << ":" << i1 << " " - << ss2 << ":" << i2 << " " << p << endl; - } - if( verboseMode&&((nwrd++)%10000==0) ) - {cout<<"Statistiken-2 " <<nwrd<< ". \r";cout.flush();} - } - } - - w.testFull(); - if(verboseMode){cout << "Datenintegritaet getestet.\n";cout.flush();} - return k; -} - -KategProblem *fromNgrFile(const char *str,int maxClass,int initialisierung, - int auswertung,int nachbarschaft,int minWordFrequency) -{ - ifstream file(str); - if(!file)return 0; - leda_set<string> setVokabular; - leda_h_array<PSS,FreqType> cTbl; - double c=0; - if( verboseMode )cout << "NGRFILE: " << str << endl; - string s1,s2; - while(file >> c >> s1 >> s2) - { - if( s1.length()==0||s2.length()==0 ) - { - cerr << "ERROR: strings are zero: " << s1.length() <<" " << s1 <<" " << s2.length()<<" " << s2 << endl; - return 0; - } - if( c==0 ) - { - cerr << "Count ist 0 " << s1 << " " << s2 << endl; - return 0; - } - cTbl[pair<string,string>(s1,s2)]=(FreqType)c; - setVokabular.insert(s1); - setVokabular.insert(s2); - if( verboseMode>1 ) - cout << "R: " << s1 << " " << s2 << " " << c << endl; - c=0; - } - - return makeKategProblem(cTbl,setVokabular,maxClass,initialisierung,auswertung,nachbarschaft,minWordFrequency); -} - - - - - - - - -KategProblem *fromKModel(const char *str,int maxClass,int initialisierung, - int auswertung,int nachbarschaft,int minWordFrequency) -{ - string oldText,text,line; - ifstream f(str); - if( !f ) - { - cerr << "ERROR: can not open file " << str << ".\n"; - return 0; - } - - leda_set<string> setVokabular; - leda_h_array<PSS,FreqType> cTbl(0); - oldText="$"; - while(1) - { - getline(f,line); - if(f.fail() && !f.bad() && !f.eof()) - { - cerr << "WARNING: strange characters in stream (getline) " << endl;f.clear(); - } - if(!f)break; - - istrstream f2(line.c_str()); - while( 1 ) - { - f2 >> text; - if(f2.fail() && !f2.bad() && !f2.eof()) - { - cerr << "WARNING: strange characters in stream (>>) !\n"; - f2.clear(ios::failbit); - } - if(!f2){break;} - - - - - - - if( text == "$" ) - text = "mkcls-mapped-dollar-symbol-$"; - if( !setVokabular.member(text) )setVokabular.insert(text); - cTbl[pair<string,string>(oldText,text)]++; - oldText=text; - } - text="$"; - if( !setVokabular.member(text) )setVokabular.insert(text); - cTbl[pair<string,string>(oldText,text)]++; - oldText=text; - } - return makeKategProblem(cTbl,setVokabular,maxClass,initialisierung,auswertung,nachbarschaft,minWordFrequency); -} - - - - - -void KategProblemSetParameters(KategProblem &p) -{ - if( p.katwahl()==K_BEST ) - { - TAOptimization::defaultAnnRate=0.7; - RRTOptimization::defaultAnnRate=0.95; - GDAOptimization::defaultAlpha=0.05; - if( verboseMode ) - cout << "Parameter-setting like W-DET-BEST\n"; - } - else - { - TAOptimization::defaultAnnRate=0.4; - RRTOptimization::defaultAnnRate=0.6; - GDAOptimization::defaultAlpha=0.0125; - if( verboseMode ) - cout << "Parameter-setting like W-DET-DET\n"; - } -} - - - - -KategProblem &makRandom(int ANZ_WORD,int ANZ_CLS,int initValue, - int auswertung,int nachbarschaft,float relInit) -{ - KategProblem &k= - *new KategProblem(ANZ_WORD,ANZ_CLS,initValue,auswertung,nachbarschaft); - KategProblemWBC &w=k.wordFreq; - Array<int> after(ANZ_WORD,0); - Array<int> before(ANZ_WORD,0); - Array<FreqArray> twoD(ANZ_WORD); - int i; - for(i=0;i<ANZ_WORD;i++) twoD[i].init(ANZ_WORD,0); - - for(i=0;i<ANZ_WORD;i++) - { - massert(after[i]==0); - massert(before[i]==0); - for(int j=0;j<ANZ_WORD;j++) - { - massert(twoD[i][j]==0); - } - } - for(i=0;i<ANZ_WORD*ANZ_WORD*relInit;i++) - { - int x=randomInt(ANZ_WORD); - int y=randomInt(ANZ_WORD); - if(twoD[x][y]==0) - { - after[x]++; - before[y]++; - } - twoD[x][y]+=randomInt(10)+1; - } - for(i=0;i<ANZ_WORD;i++) - { - w.setAfterWords(i,after[i]); - w.setBeforeWords(i,before[i]); - } - - for(i=0;i<ANZ_WORD;i++) - { - for(int j=0;j<ANZ_WORD;j++) - if( twoD[i][j] ) - w.setFreq(i,j,twoD[i][j]); - } - w.testFull(); - return k; -} - - - - -char *makeTitle(KategProblem &problem,int verfahren) -{ - char x[1024]; - switch(verfahren) - { - case HC_OPT: - strcpy(x,"HC "); - break; - case SA_OPT: - strcpy(x,"SA "); - break; - case TA_OPT: - strcpy(x,"TA "); - break; - case GDA_OPT: - strcpy(x,"GDA "); - break; - case RRT_OPT: - strcpy(x,"RRT "); - break; - } - problem.makeTitle(x+strlen(x)); - return strdup(x); -} - - - - -#define MAX_MULTIPLE 10 - -Array<KategProblem *> &_izrOptimization(Array<KategProblem *> &probs, -int anzprob,double timeForOneRed,double maxClock,Array<Kategory> &katOfWord, -int anzIter,int verfahren) -{ - massert(anzprob>1); - massert(probs[0]->wordFreq.mindestAnzahl<=1); - KategProblem *p0=probs[0]; - - int nWords=p0->wordFreq.nWords; - int nKats=p0->katFreq.nKats; - int minimumNumberOfWords = max(1,int(nWords*0.95)); - - int indexOfDurchschnitt; - Array<int> newWords(nWords); - int useAnzprob=anzprob; - do - { - int w,k; - indexOfDurchschnitt=0; - for(w=0;w<nWords;w++) - newWords[w]=-1; - for(k=0;k<useAnzprob;k++) - { - massert(probs[k]->wordFreq.nWords==nWords); - probs[k]->makeKats(); - } - - for(w=0;w<nWords;w++) - { - if( newWords[w]==-1 ) - { - - - - leda_set<int> durchschnitt=(*p0->kats)[p0->katOfWord(w)]; - for(k=1;k<useAnzprob;k++) - durchschnitt = durchschnitt & (*probs[k]->kats)[probs[k]->katOfWord(w)]; - - - int _anzInDurchschnitt=0; - int nr=0; - forall_set(leda_set<int>,nr,durchschnitt) - { - _anzInDurchschnitt++; - newWords[nr]=indexOfDurchschnitt; - } - if( verboseMode && _anzInDurchschnitt>1 && anzIter==0 ) - { - cout << "- ("; - forall_set(leda_set<int>,nr,durchschnitt) - { - cout << p0->getString(nr); - if( p0->wordFreq.n1(nr)==1 ) - cout << "* "; - else - cout << " "; - } - cout << ")\n"; - } - - - - - for(k=0;k<useAnzprob;k++) - { - durchschnitt = durchschnitt - (*probs[k]->kats)[probs[k]->katOfWord(w)]; - } - indexOfDurchschnitt++; - } - } - - if(indexOfDurchschnitt>=minimumNumberOfWords) - { - if(useAnzprob==1) - { - cout << "useAnzProb==1 => mysterious.\n"; - break; - } - useAnzprob--; - } - } - while(indexOfDurchschnitt>=minimumNumberOfWords); - - - Array<KategProblem *> &neu=*new Array<KategProblem *>(MAX_MULTIPLE*anzprob,(KategProblem *)0); - qsort(probs.getPointerToData(),useAnzprob,sizeof(KategProblem *),compareProblem); - massert(useAnzprob<=probs.size()); - double startTime=clockSec(); - int i, numberOfNew; - for(numberOfNew=0; (clockSec()-startTime<timeForOneRed) - || (numberOfNew < anzprob) ; numberOfNew++) - { - int w; - if( numberOfNew==anzprob*MAX_MULTIPLE-1 ) - break; - KategProblem *p - = neu[numberOfNew] - = new KategProblem(indexOfDurchschnitt,nKats-2, - p0->initialisierung,p0->auswertung,p0->nachbarschaft); - - for(w=0;w<indexOfDurchschnitt;w++) - { - p->wordFreq.setAfterWords(w,5); - p->wordFreq.setBeforeWords(w,5); - } - for(w=0;w<nWords;w++) - { - Array<OneFreq> &after=p0->wordFreq.after[w]; - int size=after.size(); - for(i=0;i<size;i++) - p->wordFreq.addFreq(newWords[w],newWords[after[i].w],after[i].n); - } - p->wordFreq.testFull(1); - - - - - - - p->wordFreq.set_h_of_words(p0->wordFreq.get_h_of_words()); - double w1=0.0,w2=0.0; - if(numberOfNew<useAnzprob) - { - - for(i=0;i<nWords;i++) - (p->initLike)[newWords[i]]=probs[numberOfNew]->katOfWord(i); - p->_initialize(5); - HCOptimization hc(*p,-1); - if(verboseMode) - { - w1=p->nicevalue(); - cout << "from old category system:" << w1 << endl; - } - hc.minimize(-1); - if(verboseMode) - { - w2=p->nicevalue(); - if(w2<w1) - cout << "improvement: " << w1-w2 << endl; - } - } - else - { - p->_initialize(1); - double mean; - StatVar end,laufzeit,start; - solveProblem(0,*p,1,-1,verfahren,mean,end,laufzeit,start); - w2=p->value(); - if(verboseMode) - cout << "new category system: " << w2 << " (" << p->nicevalue() - << ") Zeit: " << clockSec() << "\n"; - } - } - int p; - for(p=0;p<probs.size();p++) - { - if( probs[p] ) - delete probs[p]; - } - qsort(neu.getPointerToData(),numberOfNew,sizeof(Problem *),compareProblem); - massert(numberOfNew<=neu.size()); - if( verboseMode ) - cout << "Iterierte Zustandsraum-Reduktion: " << indexOfDurchschnitt - << " words. costs: " << neu[0]->value() << " " - << neu[0]->nicevalue() << " (" << numberOfNew-anzprob << ")" << "time: " - << clockSec() << endl; - if( indexOfDurchschnitt<=nKats - || (clockSec()>maxClock&&maxClock) ) - { - if( clockSec()>maxClock&&maxClock ) - cout << "STOP (time limit: " << (clockSec()-maxClock) << " s)\n"; - for(i=0;i<nWords;i++) - katOfWord[i]=neu[0]->katOfWord(newWords[i]); - return neu; - } - else - { - Array<Kategory> &newKatOfWord= - *(new Array<Kategory>(neu[0]->wordFreq.nWords,-1)); - Array<KategProblem *> &erg=_izrOptimization(neu,anzprob,timeForOneRed, - maxClock,newKatOfWord, - anzIter+1,verfahren); - for(i=0;i<nWords;i++) - katOfWord[i]=newKatOfWord[newWords[i]]; - return erg; - } -} - - - - -KategProblem *izrOptimization(KategProblem &p,int minN,int firstN, - double clockForOneRed,double maxClock,int verfahren) -{ - Array<Kategory> katOfWord(p.wordFreq.nWords,-1); - int startN; - if( clockForOneRed<=0 ) - startN=firstN; - else - startN=1000; - Array<KategProblem *> probs(startN); - double val1=0.0,val2=0.0; - double endTime=-1; - - double startTime=clockSec(); - int i; - for(i=0;i<startN;i++) - { - StatVar end,laufzeit,start; - double mean; - probs[i] = (KategProblem *)((KategProblem *)p.makeEqualProblem()); - solveProblem(0,*(probs[i]),1,-1,verfahren,mean,end,laufzeit,start); - if( i==minN-1 ) - endTime = clockSec(); - if( i>=firstN-1 && (startTime+clockForOneRed>clockSec() || i==999) ) - break; - } - if( endTime<0 ) - endTime=clockSec(); - massert(i>=firstN); - - qsort(probs.getPointerToData(),i,sizeof(KategProblem *),compareProblem); - massert(i<=probs.size()); - if( clockForOneRed<=0 ) - { - clockForOneRed=endTime-startTime; - if( verboseMode ) - cout << "time for one reduction: " << clockForOneRed << endl; - } - _izrOptimization(probs,minN,clockForOneRed,maxClock,katOfWord,0,verfahren); - - KategProblem *n=(KategProblem *)(p.makeEqualProblem()); - n->initLike= katOfWord; - n->_initialize(5); - if( verboseMode ) - val1=n->value(); - HCOptimization hc(*n,-1); - hc.minimize(-1); - val2=n->value(); - if( verboseMode ) - cout << "last improvement: " << val2-val1 << "\n"; - cout << "final costs: " << val2 << " " << n->nicevalue() << endl; - if(PrintBestTo) - n->dumpOn(*PrintBestTo); - return n; -} - - - - - - - - - - - diff --git a/mgizapp/src/mkcls/KategProblemTest.h b/mgizapp/src/mkcls/KategProblemTest.h deleted file mode 100644 index 7767b7d..0000000 --- a/mgizapp/src/mkcls/KategProblemTest.h +++ /dev/null @@ -1,60 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#include "KategProblem.h" - - -KategProblem &makRandom(int ANZ_WORD,int ANZ_CLS,int initialisierung, - int auswertung,int nachbarschaft,float relInit=0.1); - - - -KategProblem *fromKModel(const char *str,int maxClass,int initialisierung, - int auswertung,int nachbarschaft,int minWordFrequency); - - -KategProblem *fromNgrFile(const char *str,int maxClass,int initialisierung, - int auswertung,int nachbarschaft,int minWordFrequency); - -void writeClasses(Array<Kategory> &katOfWord,KategProblem &problem,ostream &to); - - - -int fromCatFile(KategProblem *p,const char *s,bool verb=1); - - - -KategProblem *izrOptimization(KategProblem &p,int minN,int firstN, -double clockForOneRed,double maxClock,int verfahren); - - - -void KategProblemSetParameters(KategProblem &p); - - diff --git a/mgizapp/src/mkcls/KategProblemWBC.cpp b/mgizapp/src/mkcls/KategProblemWBC.cpp deleted file mode 100644 index 1a0d439..0000000 --- a/mgizapp/src/mkcls/KategProblemWBC.cpp +++ /dev/null @@ -1,344 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include <stdlib.h> -#include "KategProblem.h" - -static int oneFreqCompareSteigend(const void *p,const void *j) -{ -#ifdef FREQTYPE_DOUBLE - if( (((OneFreq *)p)->n < ((OneFreq *)j)->n) ) - return -1; - if( (((OneFreq *)p)->n > ((OneFreq *)j)->n) ) - return +1; - else - return 0; -#else - return ((OneFreq *)p)->n - ((OneFreq *)j)->n; -#endif -} -static int oneFreqCompareFallend(const void *p,const void *j) -{ -#ifdef FREQTYPE_DOUBLE - if( (((OneFreq *)p)->n > ((OneFreq *)j)->n) ) - return -1; - if( (((OneFreq *)p)->n < ((OneFreq *)j)->n) ) - return +1; - else - return 0; -#else - return -((OneFreq *)p)->n + ((OneFreq *)j)->n; -#endif -} - - -KategProblemWBC::KategProblemWBC(int n,int minw) -: _n1(n,0),_n2(n,0),with_h_of_words(0),afterFilled(n,0),beforeFilled(n,0),filled(0),fixedWord(n,-1),absteigend(0),nWords(n),nTranspWords(0), - mindestAnzahl(minw),after(n),before(n),minIndex(n,-1),maxIndex(n,-1) - -{ -} - -KategProblemWBC::~KategProblemWBC() - -{ - massert( after.size()==nWords); - if( absteigend ) - delete absteigend; -} - -void KategProblemWBC::init(int specialFixedWord) -{ - - nTranspWords=0; - int i; - for(i=0;i<_n1.size();i++) - { - if( (_n1[i]<mindestAnzahl && _n2[i]<mindestAnzahl && minIndex[i]<=1) ||i==specialFixedWord ) - { - - if(!( fixedWord[i]==1 || fixedWord[i]== -1)) - cerr << "mkcls:KategProblemWBC::init::ERROR: " << i << " " << fixedWord[i] << endl; - fixedWord[i]=1; - } - else if(fixedWord[i]<0) - nTranspWords++; - } - if( absteigend==0 ) - absteigend= &(getSortedList(0)); - - - - - - if(verboseMode && nTranspWords!=_n1.size()-1 ) - cout << "Es sind: " <<nTranspWords<<" transportierbar.\n"; -} - -void KategProblemWBC::set_h_of_words(double s) - -{ - with_h_of_words=1; - h_of_words = -s; -} - -double KategProblemWBC::get_h_of_words() - -{ - if( with_h_of_words ) - return -h_of_words; - else - { - h_of_words=0; - for(int i=0;i<nWords;i++) - h_of_words+=0.5*(kat_h(_n2[i])+kat_h(_n1[i])); - with_h_of_words=1; - return -h_of_words; - } -} - - -void KategProblemWBC::setAfterWords(int w,int anzahl) - -{ - OneFreq o; - o.w=-1; - o.n=0; - afterFilled[w]=0; - after[w].init(anzahl,o,1); -} -void KategProblemWBC::setBeforeWords(int w,int anzahl) - -{ - OneFreq o; - o.w=-1; - o.n=0; - beforeFilled[w]=0; - before[w].init(anzahl,o,1); -} - - -void KategProblemWBC::setFreq(int w1,int w2,FreqType anzahl) - -{ - OneFreq o; - o.n=anzahl; - - o.w=w2; - after[w1][afterFilled[w1]++]=o; - _n1[w1]+=anzahl; - o.w=w1; - before[w2][beforeFilled[w2]++]=o; - _n2[w2]+=anzahl; -} - -void KategProblemWBC::addFreq(int w1,int w2,FreqType anzahl) - -{ - OneFreq o; - o.n=anzahl; - int pos=-1,i; - for(i=0;i<afterFilled[w1];i++) - if(after[w1][i].w==w2) - pos=i; - - if(pos==-1) - { - o.w=w2; - after[w1][afterFilled[w1]++]=o; - } - else - after[w1][pos].n+=anzahl; - _n1[w1]+=anzahl; - - pos=-1; - for(i=0;i<beforeFilled[w2];i++) - if(before[w2][i].w==w1) - pos=i; - if(pos==-1) - { - o.w=w1; - before[w2][beforeFilled[w2]++]=o; - } - else - before[w2][pos].n+=anzahl; - _n2[w2]+=anzahl; -} - - -short KategProblemWBC::testFull(int doIt) - -{ - int enaNom=0; - int afterFilledSum=0,beforeFilledSum=0; - int ret=1,i; - for(i=0;i<nWords;i++) - { - if( n1(i)==1 && n2(i)==1 ) - enaNom++; - afterFilledSum+=afterFilled[i]; - beforeFilledSum+=beforeFilled[i]; - if(afterFilled[i]!=after[i].size()) - { - ret=0; - if( doIt ) - after[i].resize(afterFilled[i]); - } - if(beforeFilled[i]!=before[i].size()) - { - ret=0; - if( doIt ) - before[i].resize(beforeFilled[i]); - } - - } - if( ret==0 && !doIt ) - { - cerr << "Error: Unfilled word bigram statistics.\n"; - exit(1); - } - else - filled=1; - if( verboseMode>1 ) - { - cout << "MEAN(|L(w)|+|R(w)|)=" << (beforeFilledSum/(float)nWords) - +(afterFilledSum/(float)nWords) << endl; - cout << "Hapaslegomena: " << enaNom << endl; - } - int symmetrisch=1; - for(i=0;i<nWords;i++) - { - int j; - massert(before[i].size()==beforeFilled[i]); - massert( after[i].size()== afterFilled[i]); - FreqType sum=0; - for(j=0;j<after[i].size();j++) - sum+=after[i][j].n; - massert( sum==_n1[i] ); - sum=0; - for(j=0;j<before[i].size();j++) - sum+=before[i][j].n; - massert(sum==_n2[i]); - if(_n1[i]!=_n2[i]) - { - symmetrisch=0; - if( verboseMode>1 ) - cout << "Asymmetrie: " << i << " " << _n1[i] << " " << _n2[i] << endl; - } - - } - if(verboseMode && symmetrisch==0) - cout << "Warning: word bigram statistic is not symmetric " - "(this is possibly an error)\n"; - return ret; -} - -Array<Word> &KategProblemWBC::getSortedList(int steigend) - -{ - int siz=_n2.size(),i; - massert(filled); - Array<Word> &sortedList =*new Array<Word>(siz); - Array<OneFreq> list(siz); - int pos=0; - for(i=0;i<siz;i++) - { - if( fixedWord[i]<0 ) - { - list[pos].w=i; - list[pos].n=_n1[i]; - pos++; - } - } - int anzFree=pos; - for(i=0;i<siz;i++) - { - if( fixedWord[i]>=0 ) - { - list[pos].w=i; - list[pos].n=_n1[i]; - pos++; - } - } - massert(pos==siz); - if(steigend ) - qsort(list.getPointerToData(),anzFree,sizeof(OneFreq),oneFreqCompareSteigend); - else - qsort(list.getPointerToData(),anzFree,sizeof(OneFreq),oneFreqCompareFallend); - massert( anzFree<=list.size() ); - - for(i=0;i<siz;i++) - { - sortedList[i]=list[i].w; - massert(steigend || i==0 || i>=anzFree || list[i-1].n>=list[i].n ); - massert((!steigend) || i==0 || i>=anzFree || list[i-1].n<=list[i].n ); - } - return sortedList; -} - -FreqType KategProblemWBC::numberOfWords() - -{ - FreqType n1=0,n2=0; - for(int i=0;i<_n1.size();i++) - { - n1+=_n1[i]; - n2+=_n2[i]; - } - #ifndef FREQTYPE_DOUBLE - massert(n1==n2); - #endif - return n1; -} - -void KategProblemWBC::setDollar(int n) - -{ - if( fixedWord[n]<0 ) - nTranspWords--; - fixedWord[n]=0; -} - -void KategProblemWBC::initializeIndex(const leda_array<string>&words,char firstChar,int unten,int oben,bool noHapas) -{ - int n=0; - int i; - massert(-1<unten);massert(unten<oben); - if( verboseMode ) - cout << "InitializeIndex: " << firstChar << " u:" << unten << " o:" << oben << " " << noHapas << endl; - over_array(words,i) - { - if( words[i][0]==firstChar && (noHapas || ((short)(n1(i)+0.0001))>=mindestAnzahl || ((short)(n2(i)+0.0001))>=mindestAnzahl) ) - { - minIndex[i]=unten; - maxIndex[i]=oben; - n++; - } - } - if( verboseMode ) - cout << "InitializeIndex gefunden fuer " << n << " Woerter.\n"; -} - diff --git a/mgizapp/src/mkcls/KategProblemWBC.h b/mgizapp/src/mkcls/KategProblemWBC.h deleted file mode 100644 index 8a399e5..0000000 --- a/mgizapp/src/mkcls/KategProblemWBC.h +++ /dev/null @@ -1,131 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef KATEGPROBLEMWBC_H -#define KATEGPROBLEMWBC_H - -struct OneFreq -{ - int w; - FreqType n; -}; - -typedef Array<OneFreq> ManyFreq; - -class KategProblemWBC - -{ - - friend class KategProblem; - - private: - Array<FreqType> _n1; - - Array<FreqType> _n2; - - - double h_of_words; - - - short with_h_of_words; - - Array<int> afterFilled; - Array<int> beforeFilled; - - Array<int> &getSortedList(int steigend); - - - protected: - KategProblemWBC(int n,int minw); - - - ~KategProblemWBC(); - - - short filled; - - Array<int> fixedWord; - Array<int> *absteigend; - - void init(int specialFixedWord=-1); - - - public: - int nWords; - int nTranspWords; - short mindestAnzahl; - Array<ManyFreq> after; - Array<ManyFreq> before; - Array<int> minIndex; - Array<int> maxIndex; - - - - void setAfterWords(int w,int anzahl); - - - void setBeforeWords(int w,int anzahl); - - - void setFreq(int w1,int w2, FreqType anzahl); - - - void addFreq(int w1,int w2,FreqType anzahl); - - - void setDollar(int n); - - - int fixed(int w) - { - return fixedWord[w]; - } - - FreqType n1(int w) { return _n1[w];}; - - - FreqType n2(int w) { return _n2[w];}; - - - FreqType numberOfWords(); - - - short testFull(int doIt=0); - - - double get_h_of_words(); - - - void set_h_of_words(double s); - - - void initializeIndex(const leda_array<string>&words,char firstChar,int min,int max,bool noHapas); -}; - -#endif diff --git a/mgizapp/src/mkcls/MSBOptimization.cpp b/mgizapp/src/mkcls/MSBOptimization.cpp deleted file mode 100644 index 9478826..0000000 --- a/mgizapp/src/mkcls/MSBOptimization.cpp +++ /dev/null @@ -1,229 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "MSBOptimization.h" -#include <stdlib.h> -#include "ProblemTest.h" - -#ifdef __GNUC__ -template class Array<double>; -template class Array<ProbAndOpt>; -#endif - -struct doubleInt { double a; int i; }; -static int doubleintcompare(const void *p,const void *j) -{ - if(((struct doubleInt *)p)->a < ((doubleInt *)j)->a) - return -1; - else if(((struct doubleInt *)p)->a == ((doubleInt *)j)->a) - return 0; - else - return 1; -} - - -MSBOptimization::MSBOptimization(Problem &p,int verf,int anz,Array<double> &pos,Array<double> &por) -: PopOptimization(p,verf,anz), -percentOfSteps(pos),percentOfRun(por),nachMinimierung(0) -{ -} - - -void MSBOptimization::zInitialize() -{ - PopOptimization::zInitialize(); - - int iterationsschritte; - double mean; - StatVar end,laufzeit,start; - zufallSeed(); - - - - - solveProblem(ProblemTestVerboseMode,*originalProblem,2,-1,verfahren,mean, - end,laufzeit,start,0,&iterationsschritte); - expectedSteps=(int)(iterationsschritte); - - if(verboseMode) - cout << "MSB:mean number of steps for one run: " << expectedSteps << endl; -} - - -double MSBOptimization::minimize(int) -{ - if( initialisiert==0 ) - zInitialize(); - - int i; - int anz=size(); - int numproblems=anz; - - if( verboseMode ) - { - double usedSteps=0; - for(i=0;i<percentOfSteps.size();i++) - { - usedSteps+=expectedSteps*(percentOfSteps[i]- - (i==0?0:percentOfSteps[i-1]))*numproblems; - numproblems=(int)(ceil(anz*(1.0-percentOfRun[i]))); - if( numproblems<1 )numproblems=1; - } - usedSteps+=expectedSteps* - (1.0-percentOfSteps[percentOfSteps.size()-1])*numproblems; - cout << "MSB: speed factor: " - << (double)usedSteps/(expectedSteps*size()) << endl; - numproblems=anz=size(); - } - - for(i=0;i<percentOfSteps.size();i++) - { - - int steps=(int)(expectedSteps*(percentOfSteps[i]- - (i==0?0:percentOfSteps[i-1]))); - - - for(int a=0;a<numproblems;a++) - { - - double v; - v= optimization(a)->minimize(steps); - if(verboseMode)cout << "MSB:" << i << " " << a << ":" << v << endl; - } - - sort(); - - if(verboseMode) - cout << "MSB: best:" << problem(0)->value() - << " worst:" << problem(numproblems-1)->value() << endl; - - - numproblems=(int)(anz*(1.0-percentOfRun[i])); - if( numproblems<1 ) - numproblems=1; - if(verboseMode) - cout << "MSB: now i have : " << numproblems << " Problem's." << endl; - if(numproblems==1) - break; - } - assert( numproblems>0 ); - - - for(int a=0;a<numproblems;a++) - optimization(a)->minimize(-1); - sort(); - - double ergebnisWert = problem(0)->value(); - cout << "MSB: value:" << ergebnisWert << " (nicevalue:" - << problem(0)->nicevalue() << ")\n"; - nachMinimierung=1; - return ergebnisWert; -} - - - -void MSBOptimization::optimizeValues(Problem &p,int verfahren) -{ - int i; - struct doubleInt ri[20]; - double mean; - StatVar end,laufzeit,start; - solveProblem(ProblemTestVerboseMode,p,5,-1,verfahren,mean,end,laufzeit,start); - double fivePercentSteps=(int)(laufzeit.getMean()/20.0); - double qualitaet[20][20]; - for(i=0;i<20;i++) - { - Optimization *o=(Optimization *)genIterOptimizer(verfahren,p,-1); - for(int a=0;a<20;a++) - { - qualitaet[i][a]=o->minimize((int)fivePercentSteps); - cout << qualitaet[i][a] << " "; - } - ri[i].a=o->minimize(-1); - ri[i].i=i; - cout << ri[i].a << endl; - delete o; - } - qsort(ri,20,sizeof(struct doubleInt),doubleintcompare); - - cout << "#Beschneidungsmatrix, welche die drei besten Laeufe erhaelt: "; - for(i=0;i<20;i++) - { - int a; - struct doubleInt v[20]; - for(a=0;a<20;a++) - { v[a].i=a;v[a].a=qualitaet[a][i];} - qsort(v,20,sizeof(struct doubleInt),doubleintcompare); - int nr=0; - for(a=0;a<20;a++) - if( v[a].i==ri[0].i || v[a].i==ri[1].i || v[a].i==ri[2].i ) - nr=a; - float percent=(1.0-nr/20.0)*100.0; - if(nr==2) - percent=100.0; - cout << "# " << i << " " << (i/20.0)*100 << "% " << percent << "%\n"; - } - cout << "#Beschneidungsmatrix, welche die zwei besten Laeufe erhaelt: "; - for(i=0;i<20;i++) - { - int a; - struct doubleInt v[20]; - for(a=0;a<20;a++) - { v[a].i=a;v[a].a=qualitaet[a][i];} - qsort(v,20,sizeof(struct doubleInt),doubleintcompare); - int nr=0; - for(a=0;a<20;a++) - if( v[a].i==ri[0].i || v[a].i==ri[1].i ) - nr=a; - float percent=(1.0-nr/20.0)*100.0; - if(nr==1) - percent=100.0; - cout << "# " << i << " " << (i/20.0)*100 << "% " << percent << "%\n"; - } - cout << "#Beschneidungsmatrix, welche den besten Lauf erhaelt: "; - for(i=0;i<20;i++) - {int a; - struct doubleInt v[20]; - for(a=0;a<20;a++) - { v[a].i=a;v[a].a=qualitaet[a][i];} - qsort(v,20,sizeof(struct doubleInt),doubleintcompare); - int nr=0; - for(a=0;a<20;a++) - if( v[a].i==ri[0].i ) - nr=a; - float percent=(1.0-nr/20.0)*100.0; - if(nr==0) - percent=100.0; - cout << "# " << i << " " << (i/20.0)*100 << "% " << percent << "%\n"; - } -} - - -Problem& MSBOptimization::bestProblem() -{ - assert(nachMinimierung==1); - return *(problem(0)); -} diff --git a/mgizapp/src/mkcls/MSBOptimization.h b/mgizapp/src/mkcls/MSBOptimization.h deleted file mode 100644 index ab30c98..0000000 --- a/mgizapp/src/mkcls/MSBOptimization.h +++ /dev/null @@ -1,77 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef MSBOPTIMIZATION -#define MSBOPTIMIZATION - -#include "PopOptimization.h" - -class MSBOptimization : public PopOptimization - { - - protected: - - Array<double> percentOfSteps; - Array<double> percentOfRun; - - int expectedSteps; - short nachMinimierung; - - virtual void zInitialize(); - - - public: - MSBOptimization(Problem &s,int verf,int anz,Array<double> &pos, - Array<double> &por); - - - virtual ~MSBOptimization(){} - - virtual double minimize(int steps=-1); - - - static void optimizeValues(Problem &p,int verfahren); - - - Problem& bestProblem(); - - -}; -#endif - - - - - - - - - - - diff --git a/mgizapp/src/mkcls/MYOptimization.cpp b/mgizapp/src/mkcls/MYOptimization.cpp deleted file mode 100644 index ced9d31..0000000 --- a/mgizapp/src/mkcls/MYOptimization.cpp +++ /dev/null @@ -1,85 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "MYOptimization.h" - -MYOptimization::MYOptimization(Problem &p,int m) -: IterOptimization(p,m),acceptFlagsNumber(0),acceptions(0),total(0) -{ -} -MYOptimization::MYOptimization(MYOptimization &o) -: IterOptimization(o),acceptFlagsNumber(0),acceptions(0),total(0) -{ -} -short MYOptimization::accept(double delta) - { - int doIt; - int verbesserung = delta<0; - if( delta < 0 ) - doIt=1; - else - { - if(total>=NUMBER_OF_ACCEPTIONS) - { - double prob = acceptions/(float)(NUMBER_OF_ACCEPTIONS); - double zuf = zufall01(); - - doIt=zuf<prob; - } - else - doIt=0; - } - if( total>=NUMBER_OF_ACCEPTIONS ) - { - if( acceptFlags[acceptFlagsNumber] ) - acceptions--; - } - acceptFlags[acceptFlagsNumber]=verbesserung; - if( verbesserung ) - acceptions++; - total++; - acceptFlagsNumber++; - if(acceptFlagsNumber>=NUMBER_OF_ACCEPTIONS) - acceptFlagsNumber=0; - return doIt; - } - -short MYOptimization::end() - { - return endFlag>0 && total>NUMBER_OF_ACCEPTIONS && acceptions==0; - } -void MYOptimization::abkuehlen() - { - } - - - -void MYOptimization::makeGraphOutput() -{ - IterOptimization::makeGraphOutput(); - *GraphOutput << acceptions; -} - diff --git a/mgizapp/src/mkcls/MYOptimization.h b/mgizapp/src/mkcls/MYOptimization.h deleted file mode 100644 index a6ca70c..0000000 --- a/mgizapp/src/mkcls/MYOptimization.h +++ /dev/null @@ -1,61 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - -#ifndef MYOPTIMIZATION -#define MYOPTIMIZATION -#include "IterOptimization.h" - -#define NUMBER_OF_ACCEPTIONS 100 - -class MYOptimization: public IterOptimization { - - protected: - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - public: - MYOptimization(Problem &p,int maxIter=-1); - - - MYOptimization(MYOptimization &o); - - - int acceptFlags[NUMBER_OF_ACCEPTIONS],acceptFlagsNumber; - int acceptions,total; - - void makeGraphOutput(); - -}; - -#endif diff --git a/mgizapp/src/mkcls/Makefile.am b/mgizapp/src/mkcls/Makefile.am deleted file mode 100644 index b94e630..0000000 --- a/mgizapp/src/mkcls/Makefile.am +++ /dev/null @@ -1,53 +0,0 @@ - -bin_PROGRAMS = \ - 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-Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "Optimization.h" - -Optimization::~Optimization() {} - diff --git a/mgizapp/src/mkcls/Optimization.h b/mgizapp/src/mkcls/Optimization.h deleted file mode 100644 index 4c43427..0000000 --- a/mgizapp/src/mkcls/Optimization.h +++ /dev/null @@ -1,49 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef OPTIMIZATION -#define OPTIMIZATION - -#include "Problem.h" -#include "general.h" - -class Optimization -{ - -public: - - virtual double minimize(int steps)=0; - virtual ~Optimization(); - -}; -#endif - - - - diff --git a/mgizapp/src/mkcls/PopOptimization.cpp b/mgizapp/src/mkcls/PopOptimization.cpp deleted file mode 100644 index 2e65a2c..0000000 --- a/mgizapp/src/mkcls/PopOptimization.cpp +++ /dev/null @@ -1,105 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "PopOptimization.h" -#include "ProblemTest.h" - - -int compareProbAndOpt(const void *p,const void *j) -{ - double a=((ProbAndOpt *)p)->prob->value(); - double b=((ProbAndOpt *)j)->prob->value(); - if(a==b) - return 0; - if(a<b) - return -1; - else - return +1; -} -bool operator<(const ProbAndOpt&a, const ProbAndOpt&b) - { - return a.prob->value()<b.prob->value(); - } -bool operator==(const ProbAndOpt&a, const ProbAndOpt&b) - { - return a.prob->value()==b.prob->value(); - } - -ostream& operator<<(ostream&o , const ProbAndOpt&){return o;} -istream& operator>>(istream&i , ProbAndOpt&){return i;} - - - -PopOptimization::PopOptimization(Problem &p,int verf,int anz) -: probandopt(anz),initialisiert(0),verfahren(verf) -{ - originalProblem = &p; -} - - -int PopOptimization::size() -{ - return probandopt.size(); -} - -Problem *PopOptimization::problem(int i) -{ - assert(initialisiert); - return probandopt[i].prob; -} - -Optimization *PopOptimization::optimization(int i) -{ - assert(initialisiert); - return probandopt[i].opt; -} - -void PopOptimization::zInitialize() -{ - int i; - zufallSeed(); - for(i=0;i<size();i++) - { - probandopt[i].prob=originalProblem->makeEqualProblem(); - probandopt[i].prob->initialize(); - } - - zufallSeed(); - for(i=0;i<size();i++) - probandopt[i].opt=(Optimization *)genIterOptimizer(verfahren, - *(probandopt[i].prob),-1); - - initialisiert=1; -} - - -void PopOptimization::sort() -{ - assert(initialisiert); - - probandopt.sort(size()); -} - diff --git a/mgizapp/src/mkcls/PopOptimization.h b/mgizapp/src/mkcls/PopOptimization.h deleted file mode 100644 index be8d4a2..0000000 --- a/mgizapp/src/mkcls/PopOptimization.h +++ /dev/null @@ -1,89 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef POPULATIONOPTIMIZATION -#define POPULATIONOPTIMIZATION - -#include "Optimization.h" - -typedef struct -{ - Optimization *opt; - Problem *prob; -} ProbAndOpt; - -bool operator<(const ProbAndOpt&a, const ProbAndOpt&b); -bool operator==(const ProbAndOpt&a, const ProbAndOpt&b); -ostream& operator<<(ostream& , const ProbAndOpt&b); -istream& operator>>(istream& , ProbAndOpt&b); - -inline DEFINE_STANDARD_COMPARE(ProbAndOpt); - -int compareProbAndOpt(const void *p,const void *j); - -class PopOptimization : public Optimization { - - - private: - Array<ProbAndOpt> probandopt; - - protected: - int initialisiert; - Problem *originalProblem; - - - int verfahren; - - - virtual void zInitialize(); - - - public: - PopOptimization(Problem &s,int verf,int anz); - - - virtual ~PopOptimization() {} - - int size(); - - - void sort(); - - - virtual Problem& bestProblem()=0; - - - Problem *problem(int i); - - - Optimization *optimization(int i); - - -}; -#endif diff --git a/mgizapp/src/mkcls/Problem.cpp b/mgizapp/src/mkcls/Problem.cpp deleted file mode 100644 index 6e126c8..0000000 --- a/mgizapp/src/mkcls/Problem.cpp +++ /dev/null @@ -1,165 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#include "Problem.h" -#include "Optimization.h" - -Problem::~Problem() {} - -Problem::Problem(int max,int anz,int _initialisierung,int _auswertung, - int _nachbarschaft) -: initialized(0),curCompVal(0),curCompChange(0),maxCompVal(max),maxComp(anz),curComp(0), - initialisierung(_initialisierung),auswertung(_auswertung),nachbarschaft(_nachbarschaft), - numberOfFullEvaluations(0),numberOfPartEvaluations(0),numberOfDoChange(0) -{ - if( verboseMode>1 ) - cout << "Initialization of Problem: " << maxComp << " " << maxCompVal - << endl; -} - -void Problem::initialize(int i) -{ - curComp=curCompVal=curCompChange=0; - numberOfFullEvaluations=numberOfPartEvaluations=numberOfDoChange=0; - initialized=1; - if( i== -23 ) - _initialize(initialisierung); - else - _initialize(i); - maxComp=maxDimension(); - maxCompVal=maxDimensionVal(); -} - -void Problem::doChange(ProblemChange &c) -{ - assert (initialized); - curCompChange=1; - _doChange(c); - numberOfDoChange++; -} - -void Problem::incrementDirection() -{ - if( maxCompVal==curCompVal ) - curCompVal=0; - curCompChange=0; - curComp=(curComp+1)%maxComp; -} - -ProblemChange& Problem::change() -{ - assert( initialized ); - assert( maxCompVal>=curCompVal); - - if( curCompChange||maxCompVal==curCompVal ) - incrementDirection(); - - ProblemChange *p; - int changeFound=_change(&p); - curCompVal++; - if( changeFound==0 ) - return change(); - else - return *p; -} -double Problem::value() -{ - numberOfFullEvaluations++; - if( !initialized ) - initialize(); - return _value(); -} - -double Problem::valueChange(ProblemChange &x) -{ - numberOfPartEvaluations++; - assert( initialized ); - double currentValue=value(); - _doChange(x);numberOfDoChange++; - double newValue=value(); - _undoChange(x);numberOfDoChange++; - assert( currentValue==value() ); - return newValue-currentValue; -} - -void Problem::dumpOn(ostream &strm) -{ - assert( initialized ); - strm << "Problem(" << initialisierung << "," << auswertung << "," - << nachbarschaft << ")\n"; - strm << " #value: " << numberOfFullEvaluations << endl; - strm << "#valueChange: " << numberOfPartEvaluations << endl; - strm << " #doChange: " << numberOfDoChange << endl; -} - -StatVar& Problem::deviationStatVar(Optimization &s,int anz) -{ - assert( initialized ); - StatVar &v=*new StatVar; - double cur=value(); - int howOften=0; - while( v.getNum()<anz ) - { - if( howOften++>50000 ) - break; - double neuer=s.minimize(1); - if( neuer>cur ) - v.addValue(neuer-cur); - cur=neuer; - vassert(NULLFLOAT(cur-value())); - } - return v; -} - -void Problem::dumpInfos(ostream &strm) -{ - strm << "Problem: " << endl; - assert( initialized ); -} - - -double Problem::nicevalue(double) -{ - return value(); -} - -int Problem::maxDimensionVal(void) {return -1;} -int Problem::maxDimension(void) {return -1;} - -ProblemChange::~ProblemChange() - { - } - -ProblemChange::ProblemChange() - { - } - -void Problem::setValuesFrom(Problem *p) -{ - numberOfFullEvaluations=p->numberOfFullEvaluations; - numberOfPartEvaluations=p->numberOfPartEvaluations; - numberOfDoChange=p->numberOfDoChange; - initialized=p->initialized; -} diff --git a/mgizapp/src/mkcls/Problem.h b/mgizapp/src/mkcls/Problem.h deleted file mode 100644 index 337390e..0000000 --- a/mgizapp/src/mkcls/Problem.h +++ /dev/null @@ -1,159 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef PROBLEMCHANGE -#define PROBLEMCHANGE -#include <iostream> -#include "general.h" -#include "StatVar.h" - -class Optimization; - -class ProblemChange - -{ - public: - virtual ~ProblemChange(); - ProblemChange(); -}; - -class Problem { - - private: - short initialized; - int curCompVal; - short curCompChange; - int maxCompVal; - int maxComp; - - - protected: - int curComp; - - void setValuesFrom(Problem *p); - - virtual int maxDimensionVal(void) ; - - - virtual int maxDimension(void) ; - - - inline int curDimension(void) { assert(maxComp!=-1);return curComp;} - - - inline int curDimensionVal(void) { assert(maxComp!=-1);return curCompVal;} - - - - virtual void _doChange(ProblemChange &c)=0; - - - virtual int _change(ProblemChange **p)=0; - - - virtual void _undoChange(ProblemChange &c)=0; - - - virtual void _initialize(int initialisierung)=0; - - - virtual double _value()=0; - - - public: - Problem(int maxCompVal=-1,int maxComp=-1,int _initialisierung=0, - int _auswertung=0,int _nachbarschaft=0); - - virtual ~Problem(); - - - void doChange(ProblemChange &c); - - - ProblemChange& change(); - - - virtual double value(); - - - virtual double valueChange(ProblemChange &c); - - - virtual void initialize(int a= -23); - - - inline virtual short endCriterion(); - - - virtual int maxNonBetterIterations()=0; - - - virtual int expectedNumberOfIterations()=0; - - - virtual void dumpOn(ostream &strm); - - - virtual void dumpInfos(ostream &strm); - - - virtual Problem *makeEqualProblem()=0; - - - virtual double nicevalue(double vorher=1e100); - - - virtual StatVar& deviationStatVar(Optimization &s,int anz); - - - virtual void incrementDirection(); - - - - - - int initialisierung; - int auswertung; - int nachbarschaft; - - int numberOfFullEvaluations; - int numberOfPartEvaluations; - int numberOfDoChange; - - - -}; - -inline short Problem::endCriterion() -{ - return 0; -}; - -#endif - diff --git a/mgizapp/src/mkcls/ProblemTest.cpp b/mgizapp/src/mkcls/ProblemTest.cpp deleted file mode 100644 index 40fea7a..0000000 --- a/mgizapp/src/mkcls/ProblemTest.cpp +++ /dev/null @@ -1,264 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "ProblemTest.h" -#include "HCOptimization.h" -#include "RRTOptimization.h" -#include "SAOptimization.h" -#include "TAOptimization.h" -#include "GDAOptimization.h" -#include "MYOptimization.h" -#include <stdio.h> -#include "general.h" -#include <stdlib.h> - -short ProblemTestVerboseMode=1; -ofstream *PrintBestTo=0,*PrintBestTo2=0; - - -int compareProblem(const void *p,const void *j) -{ - double a=(*(Problem **)p)->value(); - double b=(*(Problem **)j)->value(); - if(a==b) - return 0; - if(a<b) - return -1; - else - return +1; -} - - -IterOptimization *genIterOptimizer(int verfahren,Problem &problem,int maxIter) -{ - IterOptimization *opt; - switch(verfahren) - { - case HC_OPT: - opt = new HCOptimization(problem,maxIter); - break; - case GDA_OPT: - opt = new GDAOptimization(problem,maxIter); - break; - case SA_OPT: - opt = new SAOptimization(problem,maxIter); - break; - case TA_OPT: - opt = new TAOptimization(problem,maxIter); - break; - case RRT_OPT: - opt = new RRTOptimization(problem,maxIter); - break; - case MY_OPT: - opt = new MYOptimization(problem,maxIter); - break; - default: - return 0; - } - problem.initialize(); - return opt; -} - - -double solveProblem(int verbose,Problem &problem,int versuche, - int optimierungsschritte,int verfahren,double &mean, - StatVar &endNice,StatVar &auswertungen,StatVar &startNice, - double maxClock,int *iterationsschritte) -{ - double smallestV=1e100; - Problem *bestP=0; - StatVar start,end; - StatVar dauer; - StatVar iterschritte; - - for(int i=0;i<versuche;i++) - { - if(verbose>2) - { - cout << " " << i << " of " << versuche << ".\n"; - cout.flush(); - } - double vorher=clockSec(); - - IterOptimization *opt=genIterOptimizer(verfahren,problem, - optimierungsschritte); - problem.numberOfPartEvaluations=0; - - startNice.addValue(problem.nicevalue()); - start.addValue(problem.value()); - - double v=opt->minimize(optimierungsschritte); - - if( problem.numberOfPartEvaluations==0) - auswertungen.addValue(opt->getCurStep()); - else - auswertungen.addValue(problem.numberOfPartEvaluations); - iterschritte.addValue(opt->getCurStep()); - - endNice.addValue(problem.nicevalue()); - end.addValue(problem.value()); - dauer.addValue(clockSec()-vorher); - if( verbose>2 ) - { - cout << i << ". " << v << ": "; - problem.dumpOn(cout); - } - delete opt; - if( v<smallestV && verbose>1 ) - { - bestP=problem.makeEqualProblem(); - smallestV=v; - } - if( verbose>2 ) - cout << " time: " << clockSec() << " best:" << endNice.quantil(0) - << " this:" << problem.nicevalue() << endl; - if( maxClock && clockSec()>maxClock ) - { - if(verbose) - cout << "Stop because of time limit ( " << (clockSec()-maxClock) - << " Sekunden)\n"; - break; - } - } - - if(verbose) - { - cout << "\n***** " << start.getNum() << " runs. (algorithm:"; - switch(verfahren) - { - case HC_OPT: - cout << "HC"; - break; - case RRT_OPT: - cout << "RRT"; - break; - case GDA_OPT: - cout << "GDA"; - break; - case TA_OPT: - cout << "TA"; - break; - case SA_OPT: - cout << "SA"; - break; - case MY_OPT: - cout << "MY"; - break; - default: - cout << "!unknown!"; - } - cout << ")*****\n"; - problem.dumpInfos(cout); - cout << endl; - cout << "start-costs: "; start.dumpOn(cout); cout << endl; - cout << " end-costs: "; end.dumpOn(cout); cout << endl; - cout << " start-pp: "; startNice.dumpOn(cout); cout << endl; - cout << " end-pp: "; endNice.dumpOn(cout); cout << endl; - cout << " iterations: "; auswertungen.dumpOn(cout); cout << endl; - cout << " time: "; dauer.dumpOn(cout); - cout << endl; - } - if( bestP ) - { - if(PrintBestTo) - bestP->dumpOn(*PrintBestTo); - else - bestP->dumpOn(cout); - delete bestP; - } - mean = end.getMean(); - if( iterationsschritte ) - *iterationsschritte=(int)(iterschritte.getMean()); - return end.getSmallest(); -} - - - -void multiSolveProblem(Problem &problem,int versuche,int maxSeconds) -{ - int i; - int maxLaeufe; - double rDummy; - StatVar end[MAX_OPT_NR],auswertungen[MAX_OPT_NR],start[MAX_OPT_NR]; - double maxClock=clockSec()+maxSeconds; - if(maxSeconds<=0)maxClock=0; - solveProblem(ProblemTestVerboseMode,problem,versuche,-1,HC_OPT,rDummy, - end[HC_OPT],auswertungen[HC_OPT],start[HC_OPT],maxClock); - maxLaeufe=(int)(auswertungen[HC_OPT].getMean()*5); - for(i=0;i<MAX_OPT_NR;i++) - { - if( i==HC_OPT ) - continue; - double maxClock=clockSec()+maxSeconds; - if(maxSeconds<=0)maxClock=0; - solveProblem(ProblemTestVerboseMode,problem,versuche, -1,i,rDummy,end[i], - auswertungen[i],start[i],maxClock); - } - end[HC_OPT].title = " HC"; - end[SA_OPT].title = " SA"; - end[GDA_OPT].title = " GDA"; - end[RRT_OPT].title = " RRT"; - end[TA_OPT].title = " TA"; - end[MY_OPT].title = " MY"; - - for(i=0;i<MAX_OPT_NR;i++) - end[i].quantil(0.5); - - cout << "mean: \n"; - compareStatVarQuantil=-1; - qsort(end,MAX_OPT_NR,sizeof(StatVar),compareStatVar); - for(i=0;i<MAX_OPT_NR;i++) - cout << end[i].title << " " << end[i].getMean() << endl; - - cout << "\nbest: \n"; - compareStatVarQuantil=0; - qsort(end,MAX_OPT_NR,sizeof(StatVar),compareStatVar); - for(i=0;i<MAX_OPT_NR;i++) - cout << end[i].title << " " << end[i].quantil(compareStatVarQuantil) - << endl; - - cout << "\n20%-quantil: \n"; - compareStatVarQuantil=0.2; - qsort(end,MAX_OPT_NR,sizeof(StatVar),compareStatVar); - for(i=0;i<MAX_OPT_NR;i++) - cout << end[i].title << " " << end[i].quantil(compareStatVarQuantil) - << endl; -} - - -void metaOptimization(Problem &tp,int nLaeufe,int nPars) -{ - double bestPar,bestValue; - - bestPar=IterOptimizationOptimizeParameter(tp,TAOptimization::defaultAnnRate,0.0,1.0,nLaeufe,nPars,TA_OPT,bestValue); - cout << "#TA(defaultAnnRate) BEST-PAR: " << bestPar << " BEST-VAL: " << bestValue << endl; - bestPar=IterOptimizationOptimizeParameter(tp,RRTOptimization::defaultAnnRate,0.0,1.0,nLaeufe,nPars,RRT_OPT,bestValue); - cout << "#RRT(defaultAnnRate) BEST-PAR: " << bestPar << " BEST-VAL: " << bestValue << endl; - bestPar=IterOptimizationOptimizeParameter(tp,GDAOptimization::defaultAlpha,0.0,0.01,nLaeufe,nPars,GDA_OPT,bestValue); - cout << "#GDA(defaultAlpha) BEST-PAR: " << bestPar << " BEST-VAL: " << bestValue << endl; - bestPar=IterOptimizationOptimizeParameter(tp,SAOptimization::defaultEndAnnRate,0.0,1.0,nLaeufe,nPars,SA_OPT,bestValue); - cout << "#SA(defaultEndAnnRate) BEST-PAR: " << bestPar << " BEST-VAL: " << bestValue << endl; -} diff --git a/mgizapp/src/mkcls/ProblemTest.h b/mgizapp/src/mkcls/ProblemTest.h deleted file mode 100644 index 4bd8bda..0000000 --- a/mgizapp/src/mkcls/ProblemTest.h +++ /dev/null @@ -1,65 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef PROBLEMTEST_H -#define PROBLEMTEST_H - -#include "Problem.h" -#include "StatVar.h" -#include <fstream> - - -enum {TA_OPT, HC_OPT, SA_OPT,RRT_OPT,GDA_OPT,MAX_OPT_NR,MY_OPT }; - -class IterOptimization; - -extern short ProblemTestVerboseMode; - -extern ofstream *PrintBestTo,*PrintBestTo2; - -double solveProblem(int verbose,Problem &problem,int versuche, -int optimierungsschritte,int verfahren,double &mean,StatVar &endValue, -StatVar &laufzeit,StatVar &initValue,double maxSec= 0,int *iterationsschritte=0); - - - -int compareProblem(const void *p,const void *j); - - - -void multiSolveProblem(Problem &problem,int versuche,int maxSeconds); - - - -IterOptimization *genIterOptimizer(int verfahren,Problem &problem,int maxIter); - - -void metaOptimization(Problem &p,int nLaeufe,int nPars); - -#endif diff --git a/mgizapp/src/mkcls/RRTOptimization.cpp b/mgizapp/src/mkcls/RRTOptimization.cpp deleted file mode 100644 index 55e2122..0000000 --- a/mgizapp/src/mkcls/RRTOptimization.cpp +++ /dev/null @@ -1,217 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "RRTOptimization.h" -#include "ProblemTest.h" - -double RRTOptimization::defaultAnnRate=0.6; -double RRTOptimization::defaultMultiple=2.0; - - - -RRTOptimization::RRTOptimization(Problem &p,double t,double dt,int m) -: IterOptimization(p,m),deviation(t),deltaDeviation(dt) -{ - assert(deviation>=0); -} - - - -RRTOptimization:: RRTOptimization(Problem &p,int m) -: IterOptimization(p,m),deviation(-1),deltaDeviation(0) -{ -} - - - -RRTOptimization::RRTOptimization(RRTOptimization &o) -: IterOptimization(o) -{ - deviation = o.deviation; - deltaDeviation= o.deltaDeviation; - record = o.record; -} - - - -void RRTOptimization::zInitialize() -{ - IterOptimization::zInitialize(); - if( deviation<0 ) - { - - - int n; - - StatVar &v=problem.deviationStatVar(*this,ANZ_VERSCHLECHTERUNGEN); - - if( maxStep>0 ) - n=(int)(maxStep*4.0/5.0); - else - maxStep=n=(int)(problem.expectedNumberOfIterations()*defaultMultiple); - - deviation = v.quantil(defaultAnnRate); - deltaDeviation = deviation/(float)n; - - if( verboseMode>0 ) - cout << "#Algorithm: Record-To-Record-Travel: (anfAnnRate=" - << defaultAnnRate << ",T=" << deviation << ",deltaT=" - << deltaDeviation << ")\n"; - - curStep=0; - endFlag=0; - delete &v; - problem.initialize(); - IterOptimization::zInitialize(); - } - record=problem.value(); - assert(deviation>=0); -} - -short RRTOptimization::end() -{ - return ( endFlag>0 && deviation==0.0 ); -} -void RRTOptimization::abkuehlen() -{ - if( deviation>=0 ) - { - deviation -= deltaDeviation; - if(deviation<0) - deviation=0; - } -} -short RRTOptimization::accept(double delta) -{ - if( deviation<0 ) - return 1; - else - { - if( delta + curValue - deviation < record ) - { - if( delta + curValue < record ) - record = delta+curValue; - return 1; - } - else - return 0; - } -} - -void RRTOptimization::makeGraphOutput() -{ - IterOptimization::makeGraphOutput(); - *GraphOutput << deviation; -} - - - - -double RRTOptimization::optimizeValue(Problem &p,int proParameter,int numParameter,int typ, - int optimierungsschritte,int print) -{ - switch(typ) - { - case 1: - { - double bestPar=-1,best=1e100; - if( print ) - cout << "#RRT-optimizeValues: Quantil: " << numParameter << endl; - for(int i=0;i<=numParameter;i++) - { - StatVar end,laufzeit,init; - double now; - if(i==0) defaultAnnRate=0.2; - else defaultAnnRate = 0.3+(float)(0.6*i)/numParameter; - solveProblem(0,p,proParameter,optimierungsschritte,RRT_OPT,now, - end,laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultAnnRate; - } - if( print ) - { - cout << defaultAnnRate << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit " - "Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultAnnRate=0.8; - return bestPar; - } - break; - case 10: - { - double i; - double bestPar=-1,best=1e100; - StatVar end,laufzeit,init; - - if( print ) - cout << "#RRT-optimizeValues: defaultMultiple" << 8 << endl; - for(i=0.5;i<=10;i+=1.5) - { - double now; - defaultMultiple = i; - solveProblem(0,p,proParameter,optimierungsschritte,RRT_OPT,now, - end,laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultMultiple; - } - if( print ) - { - cout << defaultMultiple << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit " - "Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultMultiple=2.0; - return bestPar; - } - break; - default: - cerr << "Error: wrong parameter-type in RRTOptimization::optimizeValue (" - << typ << ")\n"; - exit(1); - } - return 1e100; -} - - diff --git a/mgizapp/src/mkcls/RRTOptimization.h b/mgizapp/src/mkcls/RRTOptimization.h deleted file mode 100644 index 42ec6e2..0000000 --- a/mgizapp/src/mkcls/RRTOptimization.h +++ /dev/null @@ -1,79 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef RRTOPTIMIZATION -#define RRTOPTIMIZATION -#include "IterOptimization.h" - -class RRTOptimization : public IterOptimization { - - - private: - double deviation; - double deltaDeviation; - double record; - - protected: - virtual void zInitialize(); - - - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - virtual void makeGraphOutput(); - - - public: - RRTOptimization(Problem &p,double temperatur, - double deltaTemperatur,int maxIter=-1); - - - RRTOptimization(Problem &p,int maxIter=-1); - - - RRTOptimization(RRTOptimization &o); - - - static double optimizeValue(Problem &p,int proParameter, - int numParameter,int typ,int schritte= -1,int verbose=1); - - - static double defaultAnnRate; - - static double defaultMultiple; - -}; - -#endif diff --git a/mgizapp/src/mkcls/SAOptimization.cpp b/mgizapp/src/mkcls/SAOptimization.cpp deleted file mode 100644 index 6ae589a..0000000 --- a/mgizapp/src/mkcls/SAOptimization.cpp +++ /dev/null @@ -1,280 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include <stdlib.h> -#include <iostream> - -#include "SAOptimization.h" - -#include "ProblemTest.h" - -#define ALPHA 0.95 - -double SAOptimization::defaultAnfAnnRate=0.9; -double SAOptimization::defaultEndAnnRate=1e-9; -double SAOptimization::defaultMultiple=2.0; - - - -SAOptimization::SAOptimization(Problem &p,int m) -: IterOptimization(p,m), temperatur(-1) -{ -} - - - - -SAOptimization::SAOptimization(Problem &p,double t,double a,int s,int m) -: IterOptimization(p,m),temperatur(t), alpha(a),schrittzahl(s) -{ - assert(alpha<1); - assert(schrittzahl>0); - assert(t>0); -} - - -SAOptimization::SAOptimization(SAOptimization &o) -: IterOptimization(o) -{ - temperatur = o.temperatur; - endTemperatur = o.endTemperatur; - alpha = o.alpha; - schrittzahl = o.schrittzahl; - stepsForAbkuehlung = o.stepsForAbkuehlung; -} - - -void SAOptimization::zInitialize() -{ - IterOptimization::zInitialize(); - if( temperatur<0) - { - - - - StatVar &v=problem.deviationStatVar(*this,ANZ_VERSCHLECHTERUNGEN); - - if( maxStep>0 ) - stepsForAbkuehlung=(int)(maxStep*4.0/5.0); - else - maxStep=stepsForAbkuehlung=(int)(problem.expectedNumberOfIterations()* - defaultMultiple); - - temperatur = v.getMean()/log(1/defaultAnfAnnRate); - endTemperatur = v.getMean()/log(1/defaultEndAnnRate); - schrittzahl = (int)(stepsForAbkuehlung/(log(endTemperatur/temperatur)/ - log(ALPHA))); - if(schrittzahl==0)schrittzahl=1; - alpha = ALPHA; - - if( verboseMode ) - cout << "#Algorithm: Simulated Annealing(anfAnnRate=" - << defaultAnfAnnRate <<",(endAnnRate=" << defaultEndAnnRate - << ",T0=" << temperatur<< ",Te=" << endTemperatur<< ",schrittzahl=" - << schrittzahl<< ",stepsForAbkuehlung=" << stepsForAbkuehlung - << ")\n"; - curStep=0; - endFlag=0; - delete &v; - problem.initialize(); - IterOptimization::zInitialize(); - } -} - -short SAOptimization::end() -{ - if( temperatur>endTemperatur ) - bestStep = curStep; - if( endFlag>0 && temperatur<endTemperatur) - return 1; - else - return 0; -} -void SAOptimization::abkuehlen() -{ - if(temperatur>=0) - { - if( curStep%schrittzahl == 0 ) - temperatur=temperatur * alpha; - if( curStep> stepsForAbkuehlung) - temperatur = 0; - } -} -short SAOptimization::accept(double delta) -{ - if( temperatur<0 ) - return 1; - else - { - if( delta > 0 ) - { - if( temperatur==0 ) - return 0; - else - { - double z=zufall01(); - assert(z!=0.0); - if(z==0.0) - z+=1e-20; - double e=exp(-delta/temperatur); - - - - return z+0.000000000001<=e; - } - } - else - return 1; - } -} - -void SAOptimization::makeGraphOutput() -{ - IterOptimization::makeGraphOutput(); - *GraphOutput << temperatur; -} - - - - -double SAOptimization::optimizeValue(Problem &p,int proParameter,int numParameter, - int typ,int optimierungsschritte,int print) -{ - switch(typ) - { - case 1: - { - double bestPar=-1,best=1e100; - double now; - if( print ) - cout << "#SA-optimizeValues: defaultAnfAnnRate" << endl; - for(int i=0;i<numParameter;i++) - { - StatVar end,laufzeit,init; - defaultAnfAnnRate=0.1 + (1.0/numParameter)*i; - solveProblem(0,p,proParameter,optimierungsschritte,SA_OPT,now, - end,laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultAnfAnnRate; - } - if( print ) - { - cout << defaultAnfAnnRate << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit " - "Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultAnfAnnRate=0.9; - return bestPar; - } - break; - case 2: - { - double bestPar=-1,best=1e100; - double now; - if( print ) - cout << "#Optimierung von SA: defaultEndAnnRate" << endl; - for(int i=1;i<=numParameter;i++) - { - StatVar end,laufzeit,init; - defaultEndAnnRate=1/(pow(10.0,i)); - solveProblem(0,p,proParameter,optimierungsschritte,SA_OPT,now,end, - laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultEndAnnRate; - } - if( print ) - { - cout << defaultEndAnnRate << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit " - "Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultEndAnnRate=1/10000.0; - return bestPar; - } - break; - case 10: - { - double bestPar=-1,best=1e100; - - if( print ) - cout << "#SA-optimizeValues: defaultMultiple " << 8 << endl; - for(int i=1;i<=6;i++) - { - StatVar end,laufzeit,init; - double now; - defaultMultiple = i; - solveProblem(0,p,proParameter,optimierungsschritte,SA_OPT,now,end, - laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultMultiple; - } - if( print ) - { - cout << defaultMultiple << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Parameter Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit " - "Bester Sigma SigmaSmaller SigmaBigger\n"; - defaultMultiple=2.0; - return bestPar; - } - break; - default: - cerr << "Error: wrong parameter-type in SAOptimization::optimizeValue (" - << typ << ")\n"; - exit(1); - } - return 1e100; -} - - - diff --git a/mgizapp/src/mkcls/SAOptimization.h b/mgizapp/src/mkcls/SAOptimization.h deleted file mode 100644 index 97c528b..0000000 --- a/mgizapp/src/mkcls/SAOptimization.h +++ /dev/null @@ -1,86 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef SAOPTIMIZATION -#define SAOPTIMIZATION -#include "IterOptimization.h" - -class SAOptimization : public IterOptimization - { - - - private: - double temperatur; - double endTemperatur; - double alpha; - int schrittzahl; - int stepsForAbkuehlung; - - protected: - virtual void zInitialize(); - - - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - virtual void makeGraphOutput(); - - - public: - SAOptimization(Problem &p,double temperatur,double alpha, - int schrittzahl,int maxIter=-1); - - - SAOptimization(Problem &p,int maxIter=-1); - - - SAOptimization(SAOptimization &o); - - - static double optimizeValue(Problem &p,int proParameter, - int numParameter,int typ, - int schritte= -1,int verbose=1); - - - static double defaultAnfAnnRate; - - static double defaultEndAnnRate; - - static double defaultMultiple; - - -}; -#endif - diff --git a/mgizapp/src/mkcls/StatVar.cpp b/mgizapp/src/mkcls/StatVar.cpp deleted file mode 100644 index dbd76cd..0000000 --- a/mgizapp/src/mkcls/StatVar.cpp +++ /dev/null @@ -1,140 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#include "StatVar.h" -#include <iostream> -#include <stdlib.h> - -double compareStatVarQuantil=-1; - -StatV::~StatV() {} - - -int doublecompare(const void *p,const void *j) -{ - if( *(double *)p == *(double *)j) - return 0; - if( *(double *)p- *(double *)j<0 ) - return -1; - else - return 1; -} - -int compareStatVar(const void *p,const void *j) -{ - double a; - double b; - if(compareStatVarQuantil>=0) - { - a=((StatVar *)p)->quantil(compareStatVarQuantil); - b=((StatVar *)j)->quantil(compareStatVarQuantil); - } - else - { - a=((StatVar *)p)->getMean(); - b=((StatVar *)j)->getMean(); - } - if(a==b) - return 0; - if(a<b) - return -1; - else - return +1; -} - - -double StatVar::getSigmaSmaller() -{ - double ss=0; - int ns=0; - for(int i=0;i<n;i++) - { - if( values[i]<getMean() ) - { - ss+=(values[i]-getMean())*(values[i]-getMean()); - ns++; - } - } - if( ss/ns>0 ) - return sqrt(ss/ns); - else - return 0; -} -double StatVar::getSigmaBigger() -{ - double ss=0; - int ns=0; - for(int i=0;i<n;i++) - if( values[i]>getMean() ) - { - ss+=(values[i]-getMean())*(values[i]-getMean()); - ns++; - } - if( ss/ns>0 ) - return sqrt(ss/ns); - else - return 0; -} - - - -void StatV::dumpOn(ostream &strm) -{ - strm << "MEAN: " << getMean() << " (" << smallest << "-" << biggest - << ") SIGMA:" << getSigma()<< " "; -} - - - -double StatVar::quantil(double percent) -{ - int index=(int)(n*percent); - if(index==n) - index=n-1; - assert(index>=0&&index<n); - if(sortedFlag==0) - { - qsort(values.getPointerToData(),n,sizeof(double),doublecompare); - assert(n<=values.size()); - sortedFlag=1; - } - if(index<0) - { - cerr << "WARNING: StatVar.cc\n"; - return 0.0; - } - else - return values[index]; -} - - -void StatVar::printValues(ostream &strm) -{ - qsort(values.getPointerToData(),n,sizeof(double),doublecompare); - assert(n<=values.size()); - for(int i=0;i<n;i++) - strm << i/(double)n << " " << values[i] << endl; - return; -} diff --git a/mgizapp/src/mkcls/StatVar.h b/mgizapp/src/mkcls/StatVar.h deleted file mode 100644 index bdf1e19..0000000 --- a/mgizapp/src/mkcls/StatVar.h +++ /dev/null @@ -1,134 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef STATVAR_H -#define STATVAR_H - -#include <stdlib.h> -#include <iostream> -#include "Array.h" -#include "mystl.h" -#include "myleda.h" -#include <cmath> - - -extern double compareStatVarQuantil; -int compareStatVar(const void *p,const void *j); - -class StatV - -{ - protected: - int n; - double sum; - double squareSum; - double smallest,biggest; - - public: - const char *title; - StatV() : n(0),sum(0),squareSum(0),smallest(1e100),biggest(-1e100),title("") {} - virtual ~StatV(); - - - virtual void addValue(double a) - { - n++; - sum+=a; - squareSum+=a*a; - if(smallest>a) - smallest=a; - if(biggest<a) - biggest=a; - - } - - - double getMean() - { return sum/n; } - - - double getSigma() - { - if(squareSum/n - getMean()*getMean()<=0) - return 0.0; - else - return sqrt(squareSum/n - getMean()*getMean()); - } - - - - double getBiggest() - { return biggest; } - - - double getSmallest() - { return smallest; } - - - int getNum() - { return n; } - - - void dumpOn(ostream &strm); - - -}; - -class StatVar : public StatV -{ - private: - Array<double> values; - short sortedFlag; - public: - StatVar() - : values(10,0.0,1),sortedFlag(0) {} - virtual ~StatVar(){} - double quantil(double percent=0.5); - - - inline double value(int i) - {return values[i];} - - - void printValues(ostream &strm); - - - virtual void addValue(double a) - { - sortedFlag=0; - values[n]=a; - StatV::addValue(a); - } - - double getSigmaSmaller(); - - - double getSigmaBigger(); - - -}; - - -#endif diff --git a/mgizapp/src/mkcls/TAOptimization.cpp b/mgizapp/src/mkcls/TAOptimization.cpp deleted file mode 100644 index 074ff62..0000000 --- a/mgizapp/src/mkcls/TAOptimization.cpp +++ /dev/null @@ -1,208 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include "TAOptimization.h" -#include "ProblemTest.h" - - -double TAOptimization::defaultAnnRate=0.4; -double TAOptimization::defaultMultiple=2.0; - - -TAOptimization::TAOptimization(Problem &p,double t,double d,int m) -: IterOptimization(p,m) , temperatur(t) , deltaTemperatur(d) -{ - assert(t>0 && d>0); -} - - - -TAOptimization::TAOptimization(Problem&p,int m) -: IterOptimization(p,m), temperatur(-1) -{ -} - - - -TAOptimization::TAOptimization(TAOptimization &o) -: IterOptimization(o) -{ - temperatur= o.temperatur; - deltaTemperatur= o.deltaTemperatur; -} - - - - -void TAOptimization::zInitialize() -{ - IterOptimization::zInitialize(); - if( temperatur<0) - { - - - int n; - - StatVar &v=problem.deviationStatVar(*this,ANZ_VERSCHLECHTERUNGEN); - - if(maxStep>0) - n=(int)(maxStep*4.0/5.0); - else - maxStep=n=(int)(problem.expectedNumberOfIterations()*defaultMultiple); - - temperatur = v.quantil(defaultAnnRate); - deltaTemperatur = temperatur/n; - - if( verboseMode>0 ) - cout << "#TA: (anfAnnRate=" - << defaultAnnRate << ",T=" << temperatur << ",deltaT=" - << deltaTemperatur << ")\n"; - curStep=0; - endFlag=0; - delete &v; - } -} - - -short TAOptimization::end() -{ - - - if( temperatur>0 ) - { - endFlag=0; - bestStep=curStep; - } - return endFlag>0; -} - -short TAOptimization::accept(double delta) -{ - if( temperatur<0 ) - return 1; - else - if( delta < temperatur ) - return 1; - else - return 0; -} - -void TAOptimization::abkuehlen() -{ - if( temperatur>=0 ) - temperatur=(temperatur-deltaTemperatur>0)?(temperatur-deltaTemperatur):0; -} - -void TAOptimization::makeGraphOutput() -{ - IterOptimization::makeGraphOutput(); - *GraphOutput << temperatur; -} - - - - -double TAOptimization::optimizeValue(Problem &p,int proParameter,int numParameter,int typ, - int optimierungsschritte,int print) -{ - switch(typ) - { - case 1: - { - double bestPar=-1,best=1e100; - if(print)cout << "#TA-optimizeValues: " << numParameter << endl; - for(int i=0;i<=numParameter;i++) - { - StatVar end,laufzeit,init; - double now; - defaultAnnRate = (float)(i)/numParameter; - solveProblem(0,p,proParameter,optimierungsschritte,TA_OPT,now,end, - laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultAnnRate; - } - if( print) - { - cout << defaultAnnRate << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit Bester" - " Sigma SigmaSmaller SigmaBigger\n"; - defaultAnnRate=0.5; - return bestPar; - } - break; - case 10: - { - double bestPar=-1,best=1e100; - if( print ) - cout << "#TA-optimizeValues: defaultMultiple " << 10 << endl; - for(int i=1;i<=6;i++) - { - StatVar end,laufzeit,init; - double now; - defaultMultiple = i; - solveProblem(0,p,proParameter,optimierungsschritte,TA_OPT,now, - end,laufzeit,init); - if( best>now ) - { - best=now; - bestPar=defaultMultiple; - } - if( print ) - { - cout << defaultMultiple << " "; - cout << end.getMean() << " " << end.quantil(0.2) << " " - << end.quantil(0.79) << " " << laufzeit.getMean() << " " - << end.quantil(0.0) << " " << end.getSigma() << " " - << end.getSigmaSmaller() << " " << end.getSigmaBigger() - << " " << now << endl; - } - } - if( print ) - cout << "#Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit Bester Sigma " - " SigmaSmaller SigmaBigger\n"; - defaultMultiple=2.0; - return bestPar; - } - break; - default: - cerr << "Error: wrong parameter-type in TAOptimization::optimizeValue (" - << typ << ")\n"; - exit(1); - } - return 1e100; -} - - diff --git a/mgizapp/src/mkcls/TAOptimization.h b/mgizapp/src/mkcls/TAOptimization.h deleted file mode 100644 index 3382306..0000000 --- a/mgizapp/src/mkcls/TAOptimization.h +++ /dev/null @@ -1,78 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - -#ifndef TAOPTIMIZATION -#define TAOPTIMIZATION - -#include "IterOptimization.h" - -class TAOptimization : public IterOptimization { - - - private: - double temperatur; - double deltaTemperatur; - - protected: - virtual void zInitialize(); - - - virtual short accept(double delta); - - - virtual void abkuehlen(); - - - virtual short end(); - - - virtual void makeGraphOutput(); - - - public: - TAOptimization(Problem &p,double temperatur, - double deltaTemperatur,int maxIter=-1); - - - TAOptimization(Problem &p,int maxIter=-1); - - - TAOptimization(TAOptimization &o); - - - static double optimizeValue(Problem &p,int proParameter, - int numParameter,int typ,int schritte= -1,int verbose=1); - - - static double defaultAnnRate; - - static double defaultMultiple; - -}; -#endif diff --git a/mgizapp/src/mkcls/general.cpp b/mgizapp/src/mkcls/general.cpp deleted file mode 100644 index ddd5fe4..0000000 --- a/mgizapp/src/mkcls/general.cpp +++ /dev/null @@ -1,120 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - -#include <stdlib.h> -#include <stdio.h> - - -extern "C" { -#include <sys/time.h> -#include <sys/resource.h> - - -} - -#include "general.h" - -extern "C" { -#ifndef __linux__ -int getrusage(int who, struct rusage *rusage); -#endif -}; -int verboseMode=0; - -#ifdef aNeXT -#define NO_TEMPLATES -#endif - - -void myerror(int line,const char *file,const char *expression) -{ - cerr << "(general.h):Assertion failed: '" << expression << "' ::: b " - << file << ":" << line << endl; -} - - -void imyerror(int line,const char *file,const char *expression) -{ - cerr << "Error: '" << expression << "' ::: in Source " << file - << ":" << line << endl; - #ifndef DEBUG - - #endif -} - - - -void zufallSeed(int z) -{ -#ifdef NeXT - srandom(z); -#else - srand48(z); -#endif -} - - - -double zufall01() -{ -#ifdef NeXT - return (double)(random()%65536)/65536.0; -#else - return drand48(); -#endif -} - - - -double zufall(double min,double max) -{ - double z=zufall01()*(max-min)+min; - assert(z>=min&&z<max); - return z; -} - - - -int randomInt(int exclusive) -{ - int i=(int)zufall(0,exclusive); - assert(i>=0); - assert(i<exclusive); - return i; -} - -double clockSec() -{ -#ifdef linux - enum __rusage_who who=RUSAGE_SELF; -#else - int who=RUSAGE_SELF; -#endif - struct rusage rusage; - getrusage(who, &rusage); - return rusage.ru_utime.tv_sec+rusage.ru_utime.tv_usec/1000000.0; -} diff --git a/mgizapp/src/mkcls/general.h b/mgizapp/src/mkcls/general.h deleted file mode 100644 index 8db48aa..0000000 --- a/mgizapp/src/mkcls/general.h +++ /dev/null @@ -1,89 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - - - - - -#ifndef GENERAL_HEADER -#define GENERAL_HEADER - -#include <iostream> -#ifdef NeXT -#include <minmax.h> -#endif -#include <string.h> - - - -#define NULLFLOAT(x) ( fabs(x)<=0.0000001 ) -#define EQUALFLOAT(x,y) ( fabs(x-y)<(fabs(x)+fabs(y))/10000000.0 ) - - - - -#define TEST_RANDOM_SEED 532567487 - -double zufall01(); - - -double zufall(double min,double max); - - -int randomInt(int exclusive); - - -void zufallSeed(int z =TEST_RANDOM_SEED); - - - - -#include "myassert.h" -#include <cassert> -#include "Array.h" - - - - - - -double clockSec(); - -extern int verboseMode; - - - -inline string operator&(const string&a,const string&b) -{ - string c(a); - c+=b; - return c; -} - - - -#endif - diff --git a/mgizapp/src/mkcls/mkcls.cpp b/mgizapp/src/mkcls/mkcls.cpp deleted file mode 100644 index 90ebfde..0000000 --- a/mgizapp/src/mkcls/mkcls.cpp +++ /dev/null @@ -1,618 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - - -#include <stdio.h> -#include <iostream> -#include <stdlib.h> -#include <ctype.h> -#include "general.h" - -#include "KategProblem.h" -#include "KategProblemTest.h" - -#include "ProblemTest.h" -#include "TAOptimization.h" -#include "GDAOptimization.h" -#include "RRTOptimization.h" -#include "SAOptimization.h" -#include "HCOptimization.h" - - -double SigmaVerfaelschung=5.0; -int OneWithHapas=1; -char *hapaxInitName=0; - - - - - -static int nLaeufe=1,nLaeufeReduce=3; - - -static int optimizeParameterAnzahl=10; - - -static int IterOptVerf=TA_OPT; - - -static int MaxIterOptSteps= -1; - - -static int MaxSecs=0; - - - - - -static int InitValue=INIT_RAN; - - -static int Criterion=CRITERION_ML; - - -static int Wwahl=W_DET_DECR; - - -static int Kwahl=K_BEST; - - -static int NumberCategories=100; - - -static int MinWordFrequency=0; - - -static int IterOptSet=0; - - -static KategProblem *p = 0; - - -char korpusName[1024]="train"; -int korpusIsText=1; - - -char *FileForOther=0; - -void printUsage(int r) -{ - cout << - "mkcls - a program for making word classes: Usage: \n" - " mkcls [-nnum] [-ptrain] [-Vfile] opt\n" - - - - - - - "-V output classes (Default: no file)\n" - - - "-n number of optimization runs (Default: 1); larger number => better results\n" - - "-p filename of training corpus (Default: 'train')\n" - - - - - - - - - "Example:\n" - " mkcls -c80 -n10 -pin -Vout opt\n" - " (generates 80 classes for the corpus 'in' and writes the classes in 'out')\n" - "Literature: \n" - " Franz Josef Och: »Maximum-Likelihood-Schätzung von Wortkategorien mit Verfahren\n" - " der kombinatorischen Optimierung« Studienarbeit, Universität Erlangen-Nürnberg,\n" - " Germany,1995. \n"; - exit(r); -} - - - - - - - -void makeIterOpt() -{ - double maxTime=clockSec()+MaxSecs; - if(MaxSecs==0)maxTime=0; - double mean; - StatVar end,laufzeit,init; - solveProblem(1+(PrintBestTo!=0),*p,nLaeufe,MaxIterOptSteps,IterOptVerf, - mean,end,laufzeit,init,maxTime); - if( verboseMode>1 ) - p->dumpOn(cout); -} - - - -void makeIzrOpt() -{ - double maxTime=clockSec()+MaxSecs; - if(MaxSecs==0)maxTime=0; - izrOptimization(*p,nLaeufeReduce,nLaeufeReduce,0,maxTime,IterOptVerf); -} - - - -int makeMetaOpt(int argc,char **argv) -{ - int ret=0; - - if(argc==4 || argc==3) - { - int typ=0; - if( argc==4 ) - { - sscanf(argv[3],"%d",&typ); - assert(typ>0 && typ<=11 ); - } - if( isdigit(argv[2][0]) ) - { - int a; - sscanf(argv[2],"%d",&a); - switch(a) - { - case 1: - SAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,1); - break; - case 2: - SAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,2); - break; - case 3: - SAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,10); - break; - case 4: - TAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,1); - break; - case 5: - TAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,10); - break; - case 6: - RRTOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,1); - break; - case 7: - RRTOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,10); - break; - case 8: - GDAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,1); - break; - default: - cerr << "Error: Wrong number of parameter (" << argv[2] - << ").\n"; - printUsage(1); - } - } - else - { - if(strcasecmp(argv[2],"gda")==0) - { - GDAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,typ); - } - else if(strcasecmp(argv[2],"ta")==0) - { - TAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,typ); - } - else if(strcasecmp(argv[2],"rrt")==0) - { - RRTOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,typ); - } - else if(strcasecmp(argv[2],"sa")==0) - { - SAOptimization::optimizeValue(*p,nLaeufe, - optimizeParameterAnzahl,typ); - } - - - - - else - { - cerr << "Error: unknown algorithm" << argv[2] << endl; - printUsage(1); - } - } - } - else - { - cerr << "Error: wrong number of arguments: " << argc << endl; - printUsage(1); - } - return ret; -} - - - - - - - - - - -void setVerfahren(char *p) -{ - if(strcasecmp(p,"rrt")==0 ) - IterOptVerf=RRT_OPT; - else if(strcasecmp(p,"ta")==0) - IterOptVerf=TA_OPT; - else if(strcasecmp(p,"gda")==0) - IterOptVerf=GDA_OPT; - else if(strcasecmp(p,"sa")==0) - IterOptVerf=SA_OPT; - else if(strcasecmp(p,"hc")==0) - IterOptVerf=HC_OPT; - else - { - cerr << "Error: Unknown iterativ-optimizing algorithm '" << p << "'.\n"; - printUsage(1); - } -} - - - -void setInitValue(char *iv,char *fileForOther) -{ - if(strcasecmp(iv,"ran")==0 ) - InitValue=INIT_RAN; - else if(strcasecmp(iv,"aio")==0) - InitValue=INIT_AIO; - else if(strcasecmp(iv,"gda")==0) - InitValue=INIT_LWRW; - else if(strcasecmp(iv,"freq")==0) - InitValue=INIT_FREQ; - else if(strcasecmp(iv,"other")==0) - { - InitValue=INIT_OTHER; - FileForOther=strdup(fileForOther); - } - else - { - cerr << "Error: Unknown initialization '" << p << "'.\n";; - printUsage(1); - } -} - - -void setWwahl(const char *ww) -{ - if(strcasecmp(ww,"ran")==0 ) - Wwahl=W_RAN; - else if(strcasecmp(ww,"det")==0) - Wwahl=W_DET_DECR; - else if(strcasecmp(ww,"incr")==0) - Wwahl=W_DET_INCR; - else - { - cerr << "Error: Unknown word-selection '" << ww << "'.\n";; - printUsage(1); - } -} - - -void setKwahl(const char *kw) -{ - if( strcasecmp(kw,"det")==0 ) - Kwahl=K_DET; - else if(strcasecmp(kw,"ran")==0 ) - Kwahl=K_RAN; - else if(strcasecmp(kw,"best")==0) - Kwahl=K_BEST; - else - { - cerr << "Error: Unknown category-selection '" << kw << "'.\n"; - printUsage(1); - } -} - - -void setParameter(const char *nr1,const char *nr2) -{ - int n1; - float n2; - sscanf(nr1,"%d",&n1); - sscanf(nr2,"%f",&n2); - IterOptSet=1; - switch(n1) - { - case 1: - SAOptimization::defaultAnfAnnRate=n2; - if(verboseMode)cout << "Parameter gamma_0 (SA) set to " - << SAOptimization::defaultAnfAnnRate << endl; - iassert(0<=SAOptimization::defaultAnfAnnRate&& - SAOptimization::defaultAnfAnnRate<=1); - break; - case 2: - SAOptimization::defaultEndAnnRate=n2; - if(verboseMode)cout << "Parameter gamma_e (SA) set to " - << SAOptimization::defaultEndAnnRate << endl; - iassert(0<=SAOptimization::defaultEndAnnRate - &&SAOptimization::defaultEndAnnRate<=1); - break; - case 3: - SAOptimization::defaultMultiple=n2; - if(verboseMode)cout << "Parameter nu_e (SA) set to " - << SAOptimization::defaultMultiple << endl; - iassert( SAOptimization::defaultMultiple>0 ); - break; - case 4: - TAOptimization::defaultAnnRate=n2; - if(verboseMode)cout << "Parameter gamma_{TA} set to " - << TAOptimization::defaultAnnRate << endl; - iassert(0<=TAOptimization::defaultAnnRate - &&TAOptimization::defaultAnnRate<=1); - break; - case 5: - TAOptimization::defaultMultiple=n2; - if(verboseMode)cout << "Parameter nu_{TA} set to " - << TAOptimization::defaultMultiple << endl; - iassert( TAOptimization::defaultMultiple>0 ); - break; - case 6: - RRTOptimization::defaultAnnRate=n2; - if(verboseMode)cout << "Parameter gamma_{RRT} set to " - << RRTOptimization::defaultAnnRate << endl; - iassert(0<=RRTOptimization::defaultAnnRate - && RRTOptimization::defaultAnnRate<=1); - break; - case 7: - RRTOptimization::defaultMultiple=n2; - if(verboseMode)cout << "Parameter nu_{RRT} set to " - << RRTOptimization::defaultMultiple << endl; - iassert( RRTOptimization::defaultMultiple>0 ); - break; - case 8: - GDAOptimization::defaultAlpha=n2; - if(verboseMode)cout << "Parameter alpha set to " - << GDAOptimization::defaultAlpha << endl; - iassert(0<=GDAOptimization::defaultAlpha - && GDAOptimization::defaultAlpha<1 ); - break; - default: - cerr << "Error: Wrong parameter number " << nr1 << " " << n1 << endl; - printUsage(1); - } -} - - - -void setKorpusName(const char *s) -{ - strcpy(korpusName,s); -} - -void setHapaxInitName(const char *s) -{ - hapaxInitName=strdup(s); -} - -void setKorpus() -{ - if( korpusIsText ) - { - if( (p=fromKModel(korpusName,NumberCategories,InitValue,Criterion,Wwahl|Kwahl, - MinWordFrequency))==0) - { - cerr << "Error: Could not read the file '" << korpusName << "'.\n"; - printUsage(1); - } - } - else - { - if( (p=fromNgrFile(korpusName,NumberCategories,InitValue,Criterion,Wwahl|Kwahl, - MinWordFrequency))==0) - { - cerr << "Error: Could not read the file '" << korpusName << "'.\n"; - printUsage(1); - } - p->wordFreq.initializeIndex(*(p->words),'1',2,1+NumberCategories/2,!OneWithHapas); - p->wordFreq.initializeIndex(*(p->words),'2',2+NumberCategories/2,1+NumberCategories,OneWithHapas); - } - if( IterOptSet==0 ) - KategProblemSetParameters(*p); -} - - - - - - -int main(int argc,char **argv) -{ - double startTime=clockSec(); - zufallSeed(); - while( argc>1 && argv[1][0]=='-' ) - { - - switch(argv[1][1]) - { - case 'v': - sscanf(argv[1]+2,"%d",&verboseMode); - iassert(verboseMode>=0); - break; - case 'O': - sscanf(argv[1]+2,"%d",&OneWithHapas); - cout << "OneWithHapas: " << OneWithHapas << endl; - break; - case 'n': - sscanf(argv[1]+2,"%d",&nLaeufe); - nLaeufeReduce=nLaeufe; - iassert( nLaeufe>=1 ); - break; - case 'l': - Criterion=1; - if( argv[1][2] ) - { - sscanf(argv[1]+2,"%lf",&rhoLo); - if( verboseMode ) - cout << "Parameter rho (for LO) set to" << rhoLo << ".\n"; - iassert(0<=rhoLo && rhoLo<=1); - } - if( verboseMode ) - cout << "Criterion LO used.\n"; - break; - case 'y': - Criterion=2; - if( argv[1][2] ) - { - sscanf(argv[1]+2,"%lf",&SigmaVerfaelschung); - if( verboseMode ) - cout << "Parameter rho (for LO) set to" << SigmaVerfaelschung << ".\n"; - iassert(0<SigmaVerfaelschung); - } - if( verboseMode ) - cout << "My special criterion used.\n"; - break; - case 'p': - setKorpusName(argv[1]+2); - assert(argv[2]&&argv[2][0]!='-' || argv[2][0]!='i'); - break; - case 'P': - setKorpusName(argv[1]+2); - korpusIsText=0; - assert(argv[2]&&argv[2][0]!='-' || argv[2][0]!='i'); - break; - case 'i': - setInitValue(argv[1]+2,argv[2]); - if( InitValue==INIT_OTHER ) - argv++,argc--; - break; - case 'h': - setHapaxInitName(argv[1]+2); - break; - case 'k': - setKwahl(argv[1]+2); - break; - case 'w': - setWwahl(argv[1]+2); - break; - case 'c': - sscanf(argv[1]+2,"%d",&NumberCategories); - iassert(NumberCategories>=2); - break; - case 'm': - sscanf(argv[1]+2,"%d",&MinWordFrequency); - break; - case 'e': - setParameter(argv[1]+2,argv[2]); - argv++,argc--; - break; - case 'a': - setVerfahren(argv[1]+2); - break; - case 'r': - { - int s; - sscanf(argv[1]+2,"%d",&s); - zufallSeed(s); - } - break; - case 'V': - if(argv[1][2]) - { - char str[1024]; - strcpy(str,argv[1]+2); - PrintBestTo=new ofstream(str); - strcat(str,".cats"); - PrintBestTo2=new ofstream(str); - } - else - cout << "AUSGABE auf cout\n"; - break; - case 'M': - sscanf(argv[1]+2,"%d",&MaxIterOptSteps); - break; - case 's': - sscanf(argv[1]+2,"%d",&MaxSecs); - break; - case 'N': - sscanf(argv[1]+2,"%d",&optimizeParameterAnzahl); - break; - case 'o': - GraphOutput = new ofstream(argv[1]+2); - if( GraphOutput==0 ) - cerr << "Warning: Open failed for file '" << argv[1]+2 << "'.\n"; - break; - default: - cerr << "Fehlerhafte Option: " << argv[1] << endl; - printUsage(1); - } - argv++; - argc--; - } - - - setKorpus(); - if( FileForOther ) - { - fromCatFile(p,FileForOther); - p->initialisierung=InitValue; - p->_initialize(InitValue); - } - - if( hapaxInitName ) - { - fromCatFile(p,hapaxInitName,0); - p->fixInitLike(); - } - - double start2Time=clockSec(); - - if(argc>=2 && strcasecmp(argv[1],"opt")==0 ) - makeIterOpt(); - else if(argc>=2 && strcasecmp(argv[1],"meta-opt")==0) - makeMetaOpt(argc,argv); - else if(argc>=2 && strcasecmp(argv[1],"izr-opt")==0) - makeIzrOpt(); - - - else - { - makeIterOpt(); - } - - if( verboseMode ) - { - cout << " full-time: " << clockSec()-startTime << endl; - cout << "optimize-time: " << clockSec()-start2Time << endl; - } - return 0; -} - diff --git a/mgizapp/src/mkcls/my.h b/mgizapp/src/mkcls/my.h deleted file mode 100644 index ba06657..0000000 --- a/mgizapp/src/mkcls/my.h +++ /dev/null @@ -1,54 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef HEADER_my_DEFINED -#define HEADER_my_DEFINED - -#define over_array(a,i) for(i=(a).low();i<=(a).high();i++) -#define backwards_array(a,i) for(i=(a).high();i>=(a).low();i--) -#define over_arr(a,i) for(int i=(a).low();i<=(a).high();i++) -#define over_arrMAX(a,i,max) for(int i=(a).low();i<=min((a).high(),max-1);i++) -#define backwards_arr(a,i) for(int i=(a).high();i>=(a).low();i--) - -extern double n1mult,n2mult,n3mult; - -inline double realProb(int n1,int n2) -{ - massert(n1<=n2); - iassert(n1>=0&&n2>0); - if(n2==0)n2=1; - return ((double)n1)/(double)n2; -} - -inline double verfProb(int n1,int n2) -{ - double prob = realProb(n1,n2); - if( n1==1 )return prob*n1mult; - else if( n1==2 )return prob*n2mult; - else if( n1==3 )return prob*n3mult; - else return prob; -} - -#endif diff --git a/mgizapp/src/mkcls/myassert.h b/mgizapp/src/mkcls/myassert.h deleted file mode 100644 index da86ffb..0000000 --- a/mgizapp/src/mkcls/myassert.h +++ /dev/null @@ -1,44 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef MY_ASSERT_DEFINED -#define MY_ASSERT_DEFINED -void myerror(int line,const char *file,const char *expression); -void imyerror(int line,const char *file,const char *expression); - -#define iassert(expression) do {if (!(expression)) {imyerror(__LINE__,__FILE__,#expression);}} while (0) - -#define massert(expr) do {} while(0) - -#define vassert(expr) do {} while(0) - -#include <assert.h> - -#endif - - - - - diff --git a/mgizapp/src/mkcls/myleda.h b/mgizapp/src/mkcls/myleda.h deleted file mode 100644 index 6fc936b..0000000 --- a/mgizapp/src/mkcls/myleda.h +++ /dev/null @@ -1,278 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef myleda_HEADER_defined -#define myleda_HEADER_defined -using namespace std; -#include "myassert.h" - - -#if defined(USE_LEDA_array)||defined(USE_LEDA) -#include <LEDA/array.h> -#else - -#include "FixedArray.h" - -template<class T> -class leda_array : public FixedArray<T> -{ -public: - leda_array() {} - leda_array(int n) : FixedArray<T>(n) {} -}; -#endif - - -#if defined(USE_LEDA_set)||defined(USE_LEDA) -#include <LEDA/set.h> -#define forall_set(a,b,c) forall(b,c) -#else -#include <set> -template<class T> -class leda_set : public set<T> -{ -public: - bool member(const T&m) const - { return this->count(m)!=0; } - void del(const T&m) - { this->erase(m); } -}; -#define forall_set(a,b,c) for(a::iterator __i__=c.begin();__i__!=c.end()&&((b=*__i__),1);++__i__) -template<class T> -leda_set<T> operator&(const leda_set<T>&a,const leda_set<T>&b) -{ - leda_set<T>c; - insert_iterator<set<T> > iter(c,c.begin()); - set_intersection(a.begin(),a.end(),b.begin(),b.end(),iter); - return c; -} -template<class T> -leda_set<T> operator-(const leda_set<T>&a,const leda_set<T>&b) -{ - leda_set<T>c; - insert_iterator<set<T> > iter(c,c.begin()); - set_difference(a.begin(),a.end(),b.begin(),b.end(),iter); - return c; -} - -#endif - - -#if defined(USE_LEDA_d_array)||defined(USE_LEDA) -#include <LEDA/d_array.h> -#define forall_defined_d(a,b,c,d) forall_defined(c,d) -#define forall_d(a,b,c,d) forall(c,d) -#else -#include <map> -template<class A,class B> -class leda_d_array : public map<A,B> -{ -private: - B init; -public: - bool defined(const A&a) const - { return find(a)!=this->end(); } - const B&operator[](const A&a)const - { - typename map<A,B>::const_iterator pos=find(a); - iassert(pos!=this->end()); - if( pos==this->end() ) - return init; - else - return pos->second; - } - B&operator[](const A&a) - { - typename map<A,B>::iterator pos=find(a); - if( pos==this->end() ) - { - insert(map<A,B>::value_type(a,init)); - pos=find(a); - iassert(pos!=this->end()); - } - return pos->second; - } -}; - -#define forall_defined_d(a,b,c,d) for(typename leda_d_array<a,b>::const_iterator __ii__=(d).begin();__ii__!=(d).end()&&((c=__ii__->first),1) ;++__ii__) -#define forall_d(a,b,c,d) for(typename leda_d_array<a,b>::const_iterator __ii__=(d).begin();__ii__!=(d).end()&&((c=__ii__->second),1);++__ii__) -#endif - - -#if defined(USE_LEDA_h_array)||defined(USE_LEDA) -#include <LEDA/h_array.h> -#define forall_defined_h(a,b,c,d) forall_defined(c,d) -#define forall_h(a,b,c,d) forall(c,d) -#else - -double used_time(); -#if 0 - -#include "my_hashmap.h" -#define leda_h_array my_hashmap - -#else - -template<class T> -class my_hash -{ -public: - int operator()(const T&t)const {return Hash(t);} -}; - -inline int Hash(int value) { return value; } -#define MY_HASH_BASE hash_map<A,B,my_hash<A> > - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -using __gnu_cxx::hash; -#else -#include <hash_map> -#endif -template<class A,class B> -class leda_h_array : public MY_HASH_BASE -{ -private: - B init; -public: - leda_h_array() {} - leda_h_array(const B&_init) - : MY_HASH_BASE(),init(_init) {} - bool defined(const A&a) const - { return find(a)!=this->end(); } - const B&operator[](const A&a)const - { - typename MY_HASH_BASE::const_iterator pos=this->find(a); - - if( pos==this->end() ) - return init; - else - return pos->second; - } - B&operator[](const A&a) - { - typename MY_HASH_BASE::iterator pos=this->find(a); - if( pos==this->end() ) - { - insert(typename MY_HASH_BASE::value_type(a,init)); - pos=this->find(a); - iassert(pos!=this->end()); - } - return pos->second; - } -}; - -#define forall_defined_h(a,b,c,d) for(typename leda_h_array<a,b>::const_iterator __jj__=(d).begin();__jj__!=(d).end()&&((c=__jj__->first),1); ++__jj__) -#define forall_defined_h2(a,b,c,d) for(leda_h_array<a,b>::const_iterator __jj__=(d).begin();__jj__!=(d).end()&&((c=__jj__->first),1); ++__jj__) -#define forall_h(a,b,c,d) for(typename leda_h_array<a,b>::const_iterator __jjj__=(d).begin();__jjj__!=(d).end()&&((c=__jjj__->second),1);++__jjj__) - -#endif - -#endif - - - -template<class T> int compare(const T&a,const T&b) -{if(a==b)return 0; else if(a<b) return -1; else return 1;} - -template<class T,class U> -ostream & operator<<(ostream&out,const leda_h_array<T,U>&w) -{ - T t; - bool makeNl=0; - out << "h_array{"; - forall_defined_h(T,U,t,w) - { - if( makeNl ) - out << "\n "; - out << "EL:" << t << " INH:" << w[t] << "."; - makeNl=1; - } - return out << "}\n"; -} -template<class T,class U> -ostream & operator<<(ostream&out,const leda_d_array<T,U>&w) -{ - T t; - bool makeNl=0; - out << "h_array{"; - forall_defined_h(T,U,t,w) - { - if( makeNl ) - out << "\n "; - out << "EL:" << t << " INH:" << w[t] << "."; - makeNl=1; - } - return out << "}\n"; -} - -template<class T> -ostream&printSet(ostream&out,const leda_set<T>&s) -{ - bool first=1; - T t; - out << "{"; - forall_set(typename set<T>,t,s) - { - if( first==0 ) - out << ", "; - out << t; - first=0; - } - return out << "}\n"; -} - -template<class T,class U> -istream & operator>>(istream&in,leda_h_array<T,U>&) -{ - return in; -} - -template<class A,class B> -bool operator==(const leda_h_array<A,B>&p1,const leda_h_array<A,B>&p2) -{ - A v; - forall_defined_h(A,B,v,p1) - if( !( p1[v]==p2[v]) ) return 0; - forall_defined_h(A,B,v,p2) - if( !( p1[v]==p2[v]) ) return 0; - return 1; -} -template<class A,class B> -bool operator==(const leda_d_array<A,B>&p1,const leda_d_array<A,B>&p2) -{ - A v; - forall_defined_d(A,B,v,p1) - if( !( p1[v]==p2[v]) ) return 0; - forall_defined_d(A,B,v,p2) - if( !( p1[v]==p2[v]) ) return 0; - return 1; -} - - - - -#endif diff --git a/mgizapp/src/mkcls/mystl.h b/mgizapp/src/mkcls/mystl.h deleted file mode 100644 index bcda88d..0000000 --- a/mgizapp/src/mkcls/mystl.h +++ /dev/null @@ -1,124 +0,0 @@ -/* - -Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och - -mkcls - a program for making word classes . - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - - - -#ifndef MY_STL_H_DEFINED -#define MY_STL_H_DEFINED -#include <string> -#include <utility> -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -using __gnu_cxx::hash; -#else -#include <hash_map> -#endif -#include <cmath> - -using namespace std; - -#define over_string(a,i) for(unsigned int i=0;i<a.length();i++) - -inline int Hash(const string& s) -{ - int sum=0; - string::const_iterator i=s.begin(),end=s.end(); - for(;i!=end;i++)sum=5*sum+(*i); - return sum; -} - -template<class V> int Hash(const pair<V,V>&a) -{ return Hash(a.first)+4*Hash(a.second); } - -template<class T1,class T2> -istream& operator>>(istream &in,pair<T1,T2> &ir) -{ - char c; - - do in.get(c); while (in && isspace(c)); - - if (!in) return in; - - if (c != '(') in.putback(c); - - in >> ir.first; - - do in.get(c); while (isspace(c)); - if (c != ',') in.putback(c); - - in >> ir.second; - - do in.get(c); while (c == ' '); - if (c != ')') in.putback(c); - - return in; -} - -template<class T1,class T2> -ostream& operator<<(ostream &out,const pair<T1,T2> &ir) -{ - out << "(" << ir.first << "," << ir.second << ")"; - return out; -} - -void printSpaces(ostream&out,int n); -void mysplit(const string &s,string &s1,string &s2); -string untilChar(const string&s,char c); - -template<class A,class B,class C> -class tri -{ -public: - A a; - B b; - C c; - tri(){}; - tri(const A&_a,const B&_b,const C&_c) - : a(_a),b(_b),c(_c) {} -}; -template<class A,class B,class C> -bool operator==(const tri<A,B,C>&x,const tri<A,B,C>&y) -{ return x.a==y.a&&x.b==y.b&&x.c==y.c;} - -template<class A,class B,class C> -bool operator<(const tri<A,B,C>&x,const tri<A,B,C>&y) -{ - if(x.a<y.a) - return 1; - if(y.a<x.a) - return 0; - - if(x.b<y.b) - return 1; - if(y.b<x.b) - return 0; - - if(x.c<y.c) - return 1; - if(y.c<x.c) - return 0; - return 0; -} - -#endif diff --git a/mgizapp/src/model1.h b/mgizapp/src/model1.h deleted file mode 100644 index cadc1e3..0000000 --- a/mgizapp/src/model1.h +++ /dev/null @@ -1,205 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _model1_h -#define _model1_h 1 - -#include <assert.h> - -#include <iostream> -#include <strstream> -#include <algorithm> -#include <functional> -#include <list> -#include <map> -#include <set> -#include <utility> - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include <time.h> -#include <fstream> -#include <math.h> -#include <stdio.h> - -#include "Vector.h" -#include "vocab.h" -#include "TTables.h" -#include "getSentence.h" -#include "Perplexity.h" -#include "vocab.h" -#include "Dictionary.h" -#include "ttableDiff.hpp" -#include "syncObj.h" - -extern int NumberOfVALIalignments; - -class report_info{ - public: - Mutex alLock; - Perplexity& perp; - sentenceHandler& sHandler1; - Perplexity* testPerp; - sentenceHandler* testHandler; - Perplexity& trainViterbiPerp; - Perplexity* testViterbiPerp; - report_info(Perplexity& _perp, - sentenceHandler& _sHandler1, - Perplexity* _testPerp, - sentenceHandler* _testHandler, - Perplexity& _trainViterbiPerp, - Perplexity* _testViterbiPerp) - : perp(_perp),sHandler1(_sHandler1),testPerp(_testPerp),testHandler(_testHandler),trainViterbiPerp(_trainViterbiPerp),testViterbiPerp(_testViterbiPerp) - {} - - report_info(const report_info & rp): - perp(rp.perp),sHandler1(rp.sHandler1), testPerp(rp.testPerp), - trainViterbiPerp(rp.trainViterbiPerp), testViterbiPerp(rp.testViterbiPerp), - testHandler(rp.testHandler) - {} -}; - - -class model1 : public report_info{ -public: - string efFilename; - vcbList& Elist ; - vcbList& Flist ; - double eTotalWCount ; // size of source copus in number of words - double fTotalWCount ; // size of target corpus in number of words - int noEnglishWords; - int noFrenchWords; - tmodel<COUNT, PROB>&tTable; - Vector<WordEntry>& evlist ; - Vector<WordEntry>& fvlist ; - int threadID; -public: - int ALmissing,ALtoomuch,ALeventsMissing,ALeventsToomuch; - int ALmissingVALI,ALtoomuchVALI,ALeventsMissingVALI,ALeventsToomuchVALI; - int ALmissingTEST,ALtoomuchTEST,ALeventsMissingTEST,ALeventsToomuchTEST; - model1 (const char* efname, vcbList& evcblist, vcbList& fvcblist,tmodel<COUNT, PROB>&_tTable,Perplexity& _perp, - sentenceHandler& _sHandler1, - Perplexity* _testPerp, - sentenceHandler* _testHandler, - Perplexity& _trainViterbiPerp, - Perplexity* _testViterbiPerp); - - model1 (const model1& m1, int _threadID=0); - void initialize_table_uniformly(sentenceHandler& sHandler1); - - int em_with_tricks(int noIterations, - bool seedModel1, Dictionary& dictionary, bool useDict, bool dumpCount = false, - const char* dumpCountName = NULL, bool useString = false); - int em_thread(int noIterations, int thread,Dictionary& dictionary, bool useDict); - bool load_table(const char* tname); - void readVocabFile(const char* fname, Vector<WordEntry>& vlist, int& vsize, - int& total); - inline Vector<WordEntry>& getEnglishVocabList(void)const {return Elist.getVocabList();}; - inline Vector<WordEntry>& getFrenchVocabList(void)const {return Flist.getVocabList();}; - inline double getETotalWCount(void) const {return eTotalWCount;}; - inline double getFTotalWCount(void) const {return fTotalWCount;}; - inline int getNoEnglishWords(void) const {return noEnglishWords;}; - inline int getNoFrenchWords(void) const {return noFrenchWords;}; - inline tmodel<COUNT, PROB>& getTTable(void) {return tTable;}; - inline string& getEFFilename(void) {return efFilename;}; - -//////////////////////////////////////////////////////////////// -// Added by Qin Gao To Enable Parallel Training -//////////////////////////////////////////////////////////////// - - CTTableDiff<COUNT,PROB>* one_step_em(int it ,bool seedModel1, Dictionary& dictionary, - bool useDict); - - void recombine(); - - void combine_one(CTTableDiff<COUNT,PROB>* cb); - - void save_table(const char* tname); - - - - -//////////////////////////////////////////////////////////////// -// END OF QIN GAO's CODE -//////////////////////////////////////////////////////////////// -private: - void em_loop(int it,Perplexity& perp, sentenceHandler& sHandler1, bool seedModel1, bool , const char*, Dictionary& dictionary, bool useDict, - Perplexity& viterbiperp, bool=false); - void em_loop_1(CTTableDiff<COUNT,PROB> *diff,int it,Perplexity& perp, sentenceHandler& sHandler1, bool seedModel1, bool , const char*, Dictionary& dictionary, bool useDict, - Perplexity& viterbiperp, bool=false); - friend class model2; - friend class hmm; -public: - void addAL(const Vector<WordIndex>& viterbi_alignment,int pair_no,int l){ - alLock.lock(); - if( pair_no<=int(ReferenceAlignment.size()) ){ - //cerr << "AL: " << viterbi_alignment << " " << pair_no << endl; - ErrorsInAlignment(ReferenceAlignment[pair_no-1],viterbi_alignment,l,ALmissing,ALtoomuch,ALeventsMissing,ALeventsToomuch,pair_no); - if( pair_no<=NumberOfVALIalignments ){ - ErrorsInAlignment(ReferenceAlignment[pair_no-1],viterbi_alignment,l,ALmissingVALI,ALtoomuchVALI,ALeventsMissingVALI,ALeventsToomuchVALI,pair_no); - } - if( pair_no>NumberOfVALIalignments ){ - ErrorsInAlignment(ReferenceAlignment[pair_no-1],viterbi_alignment,l,ALmissingTEST,ALtoomuchTEST,ALeventsMissingTEST,ALeventsToomuchTEST,pair_no); - } - } - alLock.unlock(); - } - void initAL(){ALmissingVALI=ALtoomuchVALI=ALeventsMissingVALI=ALeventsToomuchVALI=ALmissingTEST=ALtoomuchTEST=ALeventsMissingTEST=ALeventsToomuchTEST=ALmissing=ALtoomuch=ALeventsMissing=ALeventsToomuch=0;} - double errorsAL()const{ - if( ALeventsMissingVALI+ALeventsToomuchVALI ){ - return (ALmissingVALI+ALtoomuchVALI)/double(ALeventsMissingVALI+ALeventsToomuchVALI); - }else{ - return 0.0; - } - } - void errorReportAL(ostream&out,string m)const{ - if( ALeventsMissing+ALeventsToomuch ){ - out << "alignmentErrors (" << m << "): " - << 100.0*(ALmissing+ALtoomuch)/double(ALeventsMissing+ALeventsToomuch) - << " recall: " << 100.0*(1.0-ALmissing/double(ALeventsMissing)) - << " precision: " << 100.0*(1.0-ALtoomuch/double(ALeventsToomuch)) - << " (missing:" << ALmissing << "/" << ALeventsMissing << " " << ALtoomuch - << " " << ALeventsToomuch << ")\n"; - } - if( ALeventsMissingVALI+ALeventsToomuchVALI ){ - out << "alignmentErrors VALI (" << m << "): " - << 100.0*(ALmissingVALI+ALtoomuchVALI)/double(ALeventsMissingVALI+ALeventsToomuchVALI) - << " recall: " << 100.0*(1.0-ALmissingVALI/double(ALeventsMissingVALI)) - << " precision: " << 100.0*(1.0-ALtoomuchVALI/double(ALeventsToomuchVALI)) - << " (missing:" << ALmissingVALI << "/" << ALeventsMissingVALI << " " << ALtoomuchVALI - << " " << ALeventsToomuchVALI << ")\n"; - } - if( ALeventsMissingTEST+ALeventsToomuchTEST ){ - out << "alignmentErrors TEST(" << m << "): " - << 100.0*(ALmissingTEST+ALtoomuchTEST)/double(ALeventsMissingTEST+ALeventsToomuchTEST) - << " recall: " << 100.0*(1.0-ALmissingTEST/double(ALeventsMissingTEST)) - << " precision: " << 100.0*(1.0-ALtoomuchTEST/double(ALeventsToomuchTEST)) - << " (missing:" << ALmissingTEST << "/" << ALeventsMissingTEST << " " << ALtoomuchTEST - << " " << ALeventsToomuchTEST << ")\n"; - } - } -}; - -#endif diff --git a/mgizapp/src/model2.cpp b/mgizapp/src/model2.cpp deleted file mode 100644 index affa0bd..0000000 --- a/mgizapp/src/model2.cpp +++ /dev/null @@ -1,238 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "model2.h" -#include "Globals.h" -#include "utility.h" -#include "Parameter.h" -#include "defs.h" - -extern short NoEmptyWord; - - -GLOBAL_PARAMETER2(int,Model2_Dump_Freq,"MODEL 2 DUMP FREQUENCY","t2","dump frequency of Model 2",PARLEV_OUTPUT,0); - -model2::model2(model1& m,amodel<PROB>&_aTable,amodel<COUNT>&_aCountTable): - model1(m),aTable(_aTable),aCountTable(_aCountTable) -{ } - -void model2::initialize_table_uniformly(sentenceHandler& sHandler1){ - // initialize the aTable uniformly (run this before running em_with_tricks) - int n=0; - sentPair sent ; - sHandler1.rewind(); - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - WordIndex l = es.size() - 1; - WordIndex m = fs.size() - 1; - n++; - if(1<=m&&aTable.getValue(l,m,l,m)<=PROB_SMOOTH){ - PROB uniform_val = 1.0 / (l+1) ; - for(WordIndex j=1; j <= m; j++) - for(WordIndex i=0; i <= l; i++) - aTable.setValue(i,j, l, m, uniform_val); - } - } -} - -int model2::em_with_tricks(int noIterations,bool dumpCount, - const char* dumpCountName, bool useString){ - double minErrors=1.0;int minIter=0; - string modelName="Model2",shortModelName="2"; - time_t it_st, st, it_fn, fn; - string tfile, afile, number, alignfile, test_alignfile; - int pair_no = 0; - bool dump_files = false ; - ofstream of2 ; - st = time(NULL) ; - sHandler1.rewind(); - cout << "\n==========================================================\n"; - cout << modelName << " Training Started at: " << ctime(&st) << " iter: " << noIterations << "\n"; - for(int it=1; it <= noIterations ; it++){ - pair_no = 0; - it_st = time(NULL) ; - cout << endl << "-----------\n" << modelName << ": Iteration " << it << '\n'; - dump_files = (Model2_Dump_Freq != 0) && ((it % Model2_Dump_Freq) == 0) && !NODUMPS; - number = ""; - int n = it; - do{ - number.insert((size_t)0, 1, (char)(n % 10 + '0')); - } while((n /= 10) > 0); - tfile = Prefix + ".t" + shortModelName + "." + number ; - afile = Prefix + ".a" + shortModelName + "." + number ; - alignfile = Prefix + ".A" + shortModelName + "." + number ; - test_alignfile = Prefix + ".tst.A" + shortModelName + "." + number ; - aCountTable.clear(); - initAL(); - em_loop(perp, sHandler1, dump_files, alignfile.c_str(), trainViterbiPerp, false); - if( errorsAL()<minErrors ){ - minErrors=errorsAL(); - minIter=it; - } - if (testPerp && testHandler) - em_loop(*testPerp, *testHandler, dump_files, test_alignfile.c_str(), *testViterbiPerp, true); - if (dump_files&&OutputInAachenFormat==1) - tTable.printCountTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),1); - - if(dumpCount && it == noIterations){ - string realTableName = dumpCountName; - realTableName += ".t.count"; - tTable.printCountTable(realTableName.c_str(),Elist.getVocabList(),Flist.getVocabList(),useString); - string realATableName = dumpCountName; - realATableName += ".a.count"; - aCountTable.printRealTable(realATableName.c_str()); - } - tTable.normalizeTable(Elist, Flist); - aCountTable.normalize(aTable); - cout << modelName << ": ("<<it<<") TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<") TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() - << " PERPLEXITY " << (*testPerp).perplexity() - << '\n'; - cout << modelName << ": ("<<it<<") VITERBI TRAIN CROSS-ENTROPY " << trainViterbiPerp.cross_entropy() - << " PERPLEXITY " << trainViterbiPerp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<") VITERBI TEST CROSS-ENTROPY " << testViterbiPerp->cross_entropy() - << " PERPLEXITY " << testViterbiPerp->perplexity() - << '\n'; - if (dump_files) { - if(OutputInAachenFormat==0) - tTable.printProbTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),OutputInAachenFormat); - aCountTable.printTable(afile.c_str()); - } - it_fn = time(NULL) ; - cout << modelName << " Iteration: " << it<< " took: " << difftime(it_fn, it_st) << " seconds\n"; - } // end of iterations - aCountTable.clear(); - fn = time(NULL) ; - cout << endl << "Entire " << modelName << " Training took: " << difftime(fn, st) << " seconds\n"; - // cout << "tTable contains " << tTable.getHash().bucket_count() - // << " buckets and " << tTable.getHash().size() << " entries." ; - cout << "==========================================================\n"; - return minIter; -} - -void model2::load_table(const char* aname){ - /* This function loads the a table from the given file; use it - when you want to load results from previous a training without - doing any new training. - NAS, 7/11/99 - */ - cout << "Model2: loading a table \n"; - aTable.readTable(aname); -} - - -void model2::em_loop(Perplexity& perp, sentenceHandler& sHandler1, - bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp, - bool test) -{ - massert( aTable.is_distortion==0 ); - massert( aCountTable.is_distortion==0 ); - WordIndex i, j, l, m ; - double cross_entropy; - int pair_no=0 ; - perp.clear(); - viterbi_perp.clear(); - ofstream of2; - // for each sentence pair in the corpus - if (dump_alignment||FEWDUMPS ) - of2.open(alignfile); - sentPair sent ; - - vector<double> ferts(evlist.size()); - - sHandler1.rewind(); - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float so = sent.getCount(); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - Vector<WordIndex> viterbi_alignment(fs.size()); - double viterbi_score = 1; - for(j=1; j <= m; j++){ - Vector<LpPair<COUNT,PROB> *> sPtrCache(es.size(),0); // cache pointers to table - // entries that map fs to all possible ei in this sentence. - PROB denom = 0.0; - PROB e = 0.0, word_best_score = 0; - WordIndex best_i = 0 ; // i for which fj is best maped to ei - for(i=0; i <= l; i++){ - sPtrCache[i] = tTable.getPtr(es[i], fs[j]) ; - if (sPtrCache[i] != 0 &&(*(sPtrCache[i])).prob > PROB_SMOOTH ) - e = (*(sPtrCache[i])).prob * aTable.getValue(i,j, l, m) ; - else e = PROB_SMOOTH * aTable.getValue(i,j, l, m); - denom += e ; - if (e > word_best_score){ - word_best_score = e ; - best_i = i ; - } - } - viterbi_alignment[j] = best_i ; - viterbi_score *= word_best_score; ///denom ; - cross_entropy += log(denom) ; - if (denom == 0){ - if (test) - cerr << "WARNING: denom is zero (TEST)\n"; - else - cerr << "WARNING: denom is zero (TRAIN)\n"; - } - if (!test){ - if(denom > 0){ - COUNT val = COUNT(so) / (COUNT) double(denom) ; - for( i=0; i <= l; i++){ - PROB e(0.0); - if (sPtrCache[i] != 0 && (*(sPtrCache[i])).prob > PROB_SMOOTH) - e = (*(sPtrCache[i])).prob ; - else e = PROB_SMOOTH ; - e *= aTable.getValue(i,j, l, m); - COUNT temp = COUNT(e) * val ; - if( NoEmptyWord==0 || i!=0 ) - if (sPtrCache[i] != 0) - (*(sPtrCache[i])).count += temp ; - else - tTable.incCount(es[i], fs[j], temp); - aCountTable.addValue(i,j, l, m,temp) ; - } /* end of for i */ - } // end of if (denom > 0) - }// if (!test) - } // end of for (j) ; - sHandler1.setProbOfSentence(sent,cross_entropy); - perp.addFactor(cross_entropy, so, l, m,1); - viterbi_perp.addFactor(log(viterbi_score), so, l, m,1); - if (dump_alignment||(FEWDUMPS&&sent.sentenceNo<1000) ) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, viterbi_alignment, sent.sentenceNo, viterbi_score); - addAL(viterbi_alignment,sent.sentenceNo,l); - pair_no++; - } /* of while */ - sHandler1.rewind(); - perp.record("Model2"); - viterbi_perp.record("Model2"); - errorReportAL(cout,"IBM-2"); -} - - - - - diff --git a/mgizapp/src/model2.h b/mgizapp/src/model2.h deleted file mode 100644 index ff8e993..0000000 --- a/mgizapp/src/model2.h +++ /dev/null @@ -1,70 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _model2_h -#define _model2_h 1 - -#include <assert.h> - -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -#include "Vector.h" -#include <utility> - -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif - -#include <fstream> -#include <math.h> -#include <time.h> - -#include "TTables.h" -#include "ATables.h" -#include "getSentence.h" -#include "defs.h" -#include "model1.h" -#include "Perplexity.h" -#include "vocab.h" - -class model2 : public model1{ -public: - amodel<PROB>&aTable; - amodel<COUNT>&aCountTable; -public: - model2(model1& m1,amodel<PROB>&,amodel<COUNT>&); - void initialize_table_uniformly(sentenceHandler&); - int em_with_tricks(int iterations,bool dumpCount = false, - const char* dumpCountName = NULL, bool useString = false); - void load_table(const char* aname); - inline amodel<PROB>& getATable(void) {return aTable;}; - inline amodel<COUNT>& getACountTable(void) {return aCountTable;}; - void em_loop(Perplexity& perp,sentenceHandler& sHandler1, bool dump_files,const char* alignfile, Perplexity&, bool test); - friend class model3; -}; - -#endif diff --git a/mgizapp/src/model2to3.cpp b/mgizapp/src/model2to3.cpp deleted file mode 100644 index d4db81a..0000000 --- a/mgizapp/src/model2to3.cpp +++ /dev/null @@ -1,398 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "model3.h" -#include "utility.h" -#include "Globals.h" - -#define _MAX_FERTILITY 10 - -double get_sum_of_partitions(int n, int source_pos, double alpha[_MAX_FERTILITY][MAX_SENTENCE_LENGTH_ALLOWED]) -{ - int done, init ; - double sum = 0, prod ; - int s, w, u, v; - WordIndex k, k1, i ; - WordIndex num_parts = 0 ; - int total_partitions_considered = 0; - - int part[_MAX_FERTILITY], mult[_MAX_FERTILITY]; - - done = false ; - init = true ; - for (i = 0 ; i < _MAX_FERTILITY ; i++){ - part[i] = mult[i] = 0 ; - } - - //printf("Entering get sum of partitions\n"); - while(! done){ - total_partitions_considered++; - if (init){ - part[1] = n ; - mult[1] = 1 ; - num_parts = 1 ; - init = false ; - } - else { - if ((part[num_parts] > 1) || (num_parts > 1)){ - if (part[num_parts] == 1){ - s = part[num_parts-1] + mult[num_parts]; - k = num_parts - 1; - } - else { - s = part[num_parts]; - k = num_parts ; - } - w = part[k] - 1 ; - u = s / w ; - v = s % w ; - mult[k] -= 1 ; - if (mult[k] == 0) - k1 = k ; - else k1 = k + 1 ; - mult[k1] = u ; - part[k1] = w ; - if (v == 0){ - num_parts = k1 ; - } - else { - mult[k1+1] = 1 ; - part[k1+1] = v ; - num_parts = k1 + 1; - } - } /* of if num_parts > 1 || part[num_parts] > 1 */ - else { - done = true ; - } - } - /* of else of if(init) */ - if (!done){ - prod = 1.0 ; - if (n != 0) - for (i = 1 ; i <= num_parts ; i++){ - prod *= pow(alpha[part[i]][source_pos], mult[i]) / factorial(mult[i]) ; - } - sum += prod ; - } - } /* of while */ - if (sum < 0) sum = 0 ; - return(sum) ; -} - -void model3::estimate_t_a_d(sentenceHandler& sHandler1, Perplexity& perp, Perplexity& trainVPerp, - bool simple, bool dump_files,bool updateT) -{ - string tfile, nfile, dfile, p0file, afile, alignfile; - WordIndex i, j, l, m, max_fertility_here, k ; - PROB val, temp_mult[MAX_SENTENCE_LENGTH_ALLOWED][MAX_SENTENCE_LENGTH_ALLOWED]; - double cross_entropy; - double beta, sum, - alpha[_MAX_FERTILITY][MAX_SENTENCE_LENGTH_ALLOWED]; - double total, temp, r ; - - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear() ; - if (simple) - nTable.clear(); - perp.clear() ; - trainVPerp.clear() ; - ofstream of2; - if (dump_files){ - alignfile = Prefix +".A2to3"; - of2.open(alignfile.c_str()); - } - if (simple) cerr <<"Using simple estimation for fertilties\n"; - sHandler1.rewind() ; - sentPair sent ; - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.getCount(); - Vector<WordIndex> viterbi_alignment(fs.size()); - l = es.size() - 1; - m = fs.size() - 1; - cross_entropy = log(1.0); - double viterbi_score = 1 ; - PROB word_best_score ; // score for the best mapping of fj - for(j = 1 ; j <= m ; j++){ - word_best_score = 0 ; // score for the best mapping of fj - Vector<LpPair<COUNT,PROB> *> sPtrCache(es.size(),0); - total = 0 ; - WordIndex best_i = 0 ; - for(i = 0; i <= l ; i++){ - sPtrCache[i] = tTable.getPtr(es[i], fs[j]) ; - if (sPtrCache[i] != 0 && (*(sPtrCache[i])).prob > PROB_SMOOTH) // if valid pointer - temp_mult[i][j]= (*(sPtrCache[i])).prob * aTable.getValue(i, j, l, m) ; - else - temp_mult[i][j] = PROB_SMOOTH * aTable.getValue(i, j, l, m) ; - total += temp_mult[i][j] ; - if (temp_mult[i][j] > word_best_score){ - word_best_score = temp_mult[i][j] ; - best_i = i ; - } - } // end of for (i) - viterbi_alignment[j] = best_i ; - viterbi_score *= word_best_score ; /// total ; - cross_entropy += log(total) ; - if (total == 0){ - cerr << "WARNING: total is zero (TRAIN)\n"; - viterbi_score = 0 ; - } - if (total > 0){ - for(i = 0; i <= l ; i++){ - temp_mult[i][j] /= total ; - if (temp_mult[i][j] == 1) // smooth to prevent underflow - temp_mult[i][j] = 0.99 ; - else if (temp_mult[i][j] == 0) - temp_mult[i][j] = PROB_SMOOTH ; - val = temp_mult[i][j] * PROB(count) ; - if ( val > PROB_SMOOTH) { - if( updateT ) - { - if (sPtrCache[i] != 0) - (*(sPtrCache[i])).count += val ; - else - tTable.incCount(es[i], fs[j], val); - } - aCountTable.addValue(i, j, l, m,val); - if (0 != i) - dCountTable.addValue(j, i, l, m,val); - } - } // for (i = ..) - } // for (if total ...) - } // end of for (j ...) - if (dump_files) - printAlignToFile(es, fs, Elist.getVocabList(), Flist.getVocabList(), of2, viterbi_alignment, sent.sentenceNo, viterbi_score); - addAL(viterbi_alignment,sent.sentenceNo,l); - if (!simple){ - max_fertility_here = min(WordIndex(m+1), MAX_FERTILITY); - for (i = 1; i <= l ; i++) { - for ( k = 1; k < max_fertility_here; k++){ - beta = 0 ; - alpha[k][i] = 0 ; - for (j = 1 ; j <= m ; j++){ - temp = temp_mult[i][j]; - if (temp > 0.95) temp = 0.95; // smooth to prevent under/over flow - else if (temp < 0.05) temp = 0.05; - beta += pow(temp/(1.0-temp), (double) k); - } - alpha[k][i] = beta * pow((double) -1, (double) (k+1)) / (double) k ; - } - } - for (i = 1; i <= l ; i++){ - r = 1; - for (j = 1 ; j <= m ; j++) - r *= (1 - temp_mult[i][j]); - for (k = 0 ; k < max_fertility_here ; k++){ - sum = get_sum_of_partitions(k, i, alpha); - temp = r * sum * count; - nCountTable.addValue(es[i], k,temp); - } // end of for (k ..) - } // end of for (i == ..) - } // end of if (!simple) - perp.addFactor(cross_entropy, count, l, m,1); - trainVPerp.addFactor(log(viterbi_score), count, l, m,1); - } // end of while - sHandler1.rewind(); - cerr << "Normalizing t, a, d, n count tables now ... " ; - if( dump_files && OutputInAachenFormat==1 ) - { - tfile = Prefix + ".t2to3" ; - tTable.printCountTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),1); - } - if( updateT ) - tTable.normalizeTable(Elist, Flist); - aCountTable.normalize(aTable); - dCountTable.normalize(dTable); - if (!simple) - nCountTable.normalize(nTable,&Elist.getVocabList()); - else { - for (i = 0 ; i< Elist.uniqTokens() ; i++){ - if (0 < MAX_FERTILITY){ - nTable.addValue(i,0,PROB(0.2)); - if (1 < MAX_FERTILITY){ - nTable.addValue(i,1,PROB(0.65)); - if (2 < MAX_FERTILITY){ - nTable.addValue(i,2,PROB(0.1)); - if (3 < MAX_FERTILITY) - nTable.addValue(i,3,PROB(0.04)); - PROB val = 0.01/(MAX_FERTILITY-4); - for (k = 4 ; k < MAX_FERTILITY ; k++) - nTable.addValue(i, k,val); - } - } - } - } - } // end of else (!simple) - p0 = 0.95; - p1 = 0.05; - if (dump_files){ - tfile = Prefix + ".t2to3" ; - afile = Prefix + ".a2to3" ; - nfile = Prefix + ".n2to3" ; - dfile = Prefix + ".d2to3" ; - p0file = Prefix + ".p0_2to3" ; - - if( OutputInAachenFormat==0 ) - tTable.printProbTable(tfile.c_str(),Elist.getVocabList(),Flist.getVocabList(),OutputInAachenFormat); - aTable.printTable(afile.c_str()); - dTable.printTable(dfile.c_str()); - nCountTable.printNTable(Elist.uniqTokens(), nfile.c_str(), Elist.getVocabList(),OutputInAachenFormat); - ofstream of(p0file.c_str()); - of << p0; - of.close(); - } - errorReportAL(cerr,"IBM-2"); - if(simple) - { - perp.record("T2To3"); - trainVPerp.record("T2To3"); - } - else - { - perp.record("ST2To3"); - trainVPerp.record("ST2To3"); - } -} - -void model3::transferSimple(/*model1& m1, model2& m2, */ sentenceHandler& sHandler1, - bool dump_files, Perplexity& perp, Perplexity& trainVPerp,bool updateT) -{ - /* - This function performs simple Model 2 -> Model 3 transfer. - It sets values for n and p without considering Model 2's ideas. - It sets d values based on a. - */ - time_t st, fn; - // just inherit these from the previous models, to avoid data duplication - - st = time(NULL); - cerr << "==========================================================\n"; - cerr << "\nTransfer started at: "<< ctime(&st) << '\n'; - - cerr << "Simple tranfer of Model2 --> Model3 (i.e. estimating initial parameters of Model3 from Model2 tables)\n"; - - estimate_t_a_d(sHandler1, perp, trainVPerp, true, dump_files,updateT) ; - fn = time(NULL) ; - cerr << "\nTransfer: TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - cerr << "\nTransfer took: " << difftime(fn, st) << " seconds\n"; - cerr << "\nTransfer Finished at: "<< ctime(&fn) << '\n'; - cerr << "==========================================================\n"; - -} - - -void model3::transfer(sentenceHandler& sHandler1,bool dump_files, Perplexity& perp, Perplexity& trainVPerp,bool updateT) -{ - if (Transfer == TRANSFER_SIMPLE) - transferSimple(sHandler1,dump_files,perp, trainVPerp,updateT); - { - time_t st, fn ; - - st = time(NULL); - cerr << "==========================================================\n"; - cerr << "\nTransfer started at: "<< ctime(&st) << '\n'; - cerr << "Transfering Model2 --> Model3 (i.e. estimating initial parameters of Model3 from Model2 tables)\n"; - - p1_count = p0_count = 0 ; - - estimate_t_a_d(sHandler1, perp, trainVPerp, false, dump_files,updateT); - - - - /* Below is a made-up stab at transferring t & a probs to p0/p1. - (Method not documented in IBM paper). - It seems to give p0 = .96, which may be right for Model 2, or may not. - I'm commenting it out for now and hardwiring p0 = .90 as above. -Kevin - - // compute p0, p1 counts - Vector<LogProb> nm(Elist.uniqTokens(),0.0); - - for(i=0; i < Elist.uniqTokens(); i++){ - for(k=1; k < MAX_FERTILITY; k++){ - nm[i] += nTable.getValue(i, k) * (LogProb) k; - } - } - - LogProb mprime; - // sentenceHandler sHandler1(efFilename.c_str()); - // sentPair sent ; - - while(sHandler1.getNextSentence(sent)){ - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.noOccurrences; - - l = es.size() - 1; - m = fs.size() - 1; - mprime = 0 ; - for (i = 1; i <= l ; i++){ - mprime += nm[es[i]] ; - } - mprime = LogProb((int((double) mprime + 0.5))); // round mprime to nearest integer - if ((mprime < m) && (2 * mprime >= m)) { - // cerr << "updating both p0_count and p1_count, mprime: " << mprime << - // "m = " << m << "\n"; - p1_count += (m - (double) mprime) * count ; - p0_count += (2 * (double) mprime - m) * count ; - // cerr << "p0_count = "<<p0_count << " , p1_count = " << p1_count << endl ; - } - else { - // p1_count += 0 ; - // cerr << "updating only p0_count, mprime: " << mprime << - // "m = " << m << "\n"; - p0_count += double(m * count) ; - // cerr << "p0_count = "<<p0_count << " , p1_count = " << p1_count << endl ; - } - } - - // normalize p1, p0 - - cerr << "p0_count = "<<p0_count << " , p1_count = " << p1_count << endl ; - p1 = p1_count / (p1_count + p0_count ) ; - p0 = 1 - p1; - cerr << "p0 = "<<p0 << " , p1 = " << p1 << endl ; - // Smooth p0 probability to avoid getting zero probability. - if (0 == p0){ - p0 = (LogProb) SMOOTH_THRESHOLD ; - p1 = p1 - (LogProb) SMOOTH_THRESHOLD ; - } - if (0 == p1){ - p1 = (LogProb) SMOOTH_THRESHOLD ; - p0 = p0 - (LogProb) SMOOTH_THRESHOLD ; - } - */ - - fn = time(NULL) ; - cerr << "\nTransfer: TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - // cerr << "tTable contains " << tTable.getHash().bucket_count() - // << " buckets and " << tTable.getHash().size() << " entries." ; - cerr << "\nTransfer took: " << difftime(fn, st) << " seconds\n"; - cerr << "\nTransfer Finished at: "<< ctime(&fn) << endl; - cerr << "==========================================================\n"; - - } - -} diff --git a/mgizapp/src/model3.cpp b/mgizapp/src/model3.cpp deleted file mode 100644 index 5b04ae0..0000000 --- a/mgizapp/src/model3.cpp +++ /dev/null @@ -1,1370 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#include "model3.h" -#include "collCounts.h" -#include "Globals.h" -#include "utility.h" -#include "transpair_model5.h" -#include "transpair_modelhmm.h" -#include "Parameter.h" - -#define TRICKY_IBM3_TRAINING - -GLOBAL_PARAMETER(int,M4_Dependencies,"depm4","d_{=1}: &1:l, &2:m, &4:F, &8:E, d_{>1}&16:l, &32:m, &64:F, &128:E",PARLEV_MODELS,76) -; -GLOBAL_PARAMETER(int,M5_Dependencies,"depm5","d_{=1}: &1:l, &2:m, &4:F, &8:E, d_{>1}&16:l, &32:m, &64:F, &128:E",PARLEV_MODELS,68) -; -GLOBAL_PARAMETER4(int,Model3_Dump_Freq,"MODEL 345 DUMP FREQUENCY","MODEL 3 DUMP FREQUENCY","t3","t345","dump frequency of Model 3/4/5",PARLEV_OUTPUT,0) -; - -/*model3::model3(model2& m2) : - model2(m2),dTable( amodel<PROB>(true)), dCountTable(true), - nTable( nmodel<PROB>(m2.getNoEnglishWords()+1, MAX_FERTILITY)), - nCountTable(m2.getNoEnglishWords()+1, MAX_FERTILITY),h(0) - {}*/ - -extern int Transfer_Dump_Freq; - -model3::model3(model2& m2, amodel<PROB>& d, nmodel<PROB>& n) : - model2(m2), dTable(d), dCountTable(true), nTable(n),//m2.getNoEnglishWords()+1, MAX_FERTILITY), - nCountTable(m2.getNoEnglishWords()+1, MAX_FERTILITY), h(0) { - ewordclasses = fwordclasses = NULL; -} - -model3::model3(model3& m3, amodel<PROB>& d, nmodel<PROB>& n, amodel<COUNT>& a) : - model2(*(&m3), m3.aTable, a), dTable(d), dCountTable(true), nTable(n),//m2.getNoEnglishWords()+1, MAX_FERTILITY), - nCountTable(m3.getNoEnglishWords()+1, MAX_FERTILITY), h(0) { - ewordclasses = fwordclasses = NULL; -} - -void model3::load_tables(const char *nfile, const char *dfile, - const char *p0file) { - cout << "Model3: loading n, d, p0 tables \n"; - - nTable.readNTable(nfile); - dTable.readTable(dfile); - ifstream inf(p0file); - if ( !inf) - cerr << "Can not open: " << p0file << '\n'; - else { - cout << "Reading p0 value from " << p0file << "\n"; - inf >> p0; - inf.close(); - p1 = 1 - p0; - } - cout << "p0 is: " << p0 << " p1:" << p1 << '\n'; -} - -model3::~model3() { - dTable.clear(); - dCountTable.clear(); - nTable.clear(); - nCountTable.clear(); - if(h==NULL && ewordclasses!=NULL && fwordclasses!=NULL){ - delete ewordclasses; - delete fwordclasses; - } -} - -void model3::em(int noIterations, sentenceHandler& sHandler1) { - - LogProb all_prob, aprob, temp; - WordIndex i, j, l, m; - time_t it_st, st, it_fn, fn; - string tfile, dfile, nfile, p0file, afile, number; - - st = time(NULL) ; - cout << "\n" << "Starting Model3: Training"; - // sentenceHandler sHandler1(efFilename.c_str()); - sHandler1.rewind(); - for (int it=1; it <= noIterations; it++) { - it_st = time(NULL) ; - cout << "\n" << "Model3: Iteration " << it; - - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - tfile = Prefix + ".t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - dfile = Prefix + ".d3." + number; - p0file = Prefix + ".p0_3." + number; - // tCountTable.clear(); - dCountTable.clear(); - nCountTable.clear(); - p0_count = 0.0; - p1_count = 0.0; - all_prob = 0; - sentPair sent; - while (sHandler1.getNextSentence(sent)) { - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.getCount(); - if ((sent.sentenceNo % 1000) == 0) - cout <<sent.sentenceNo << '\n'; - Vector<WordIndex> A(fs.size(),/*-1*/0); - Vector<WordIndex> Fert(es.size(),0); - LogProb lcount=(LogProb)count; - l = es.size()-1; - m = fs.size()-1; - WordIndex x, y; - all_prob = prob_of_target_given_source(tTable, fs, es); - if (all_prob == 0) - cout << "\n" <<"all_prob = 0"; - - for (x = 0; x < pow(l+1.0, double(m)) ; x++) { // For all possible alignmets A - y = x; - for (j = 1; j <= m; j++) { - A[j] = y % (l+1); - y /= (l+1); - } - for (i = 0; i <= l; i++) - Fert[i] = 0; - for (j = 1; j <= m; j++) - Fert[A[j]]++; - if (2 * Fert[0] <= m) { /* consider alignments that has Fert[0] less than - half the number of words in French sentence */ - aprob = prob_of_target_and_alignment_given_source(A, Fert, - tTable, fs, es); - temp = aprob/all_prob; - LogProb templcount = temp*lcount; - - for (j = 1; j <= m; j++) { - tTable.incCount(es[A[j]], fs[j], templcount); - if (0 != A[j]) - dCountTable.addValue(j, A[j], l, m, templcount); - } - for (i = 0; i <= l; i++) { - nCountTable.addValue(es[i], Fert[i], templcount); - //cout << "AFTER INC2: " << templcount << " " << nCountTable.getRef(es[i], Fert[i]) << '\n'; - } - p1_count += double(temp) * (Fert[0] * count); - p0_count += double(temp) * ((m - 2 * Fert[0]) * count); - } - } /* of looping over all alignments */ - } /* of sentence pair E, F */ - sHandler1.rewind(); - - // normalize tables - if (OutputInAachenFormat==1) - tTable.printCountTable(tfile.c_str(), Elist.getVocabList(), - Flist.getVocabList(), 1); - tTable.normalizeTable(Elist, Flist); - aCountTable.normalize(aTable); - dCountTable.normalize(dTable); - nCountTable.normalize(nTable, &Elist.getVocabList()); - - // normalize p1 & p0 - - if (p1_count + p0_count != 0) { - p1 = p1_count / (p1_count + p0_count ); - p0 = 1 - p1; - } else { - p1 = p0 = 0; - } - // print tables - if (OutputInAachenFormat==0) - tTable.printProbTable(tfile.c_str(), Elist.getVocabList(), - Flist.getVocabList(), OutputInAachenFormat); - dTable.printTable(dfile.c_str()); - nTable.printNTable(Elist.uniqTokens(), nfile.c_str(), - Elist.getVocabList(), OutputInAachenFormat); - ofstream of(p0file.c_str()); - of << p0; - of.close(); - it_fn = time(NULL) ; - cout << "\n" << "Model3 Iteration "<<it<<" took: " << difftime(it_fn, - it_st) << " seconds\n"; - - } /* of iterations */ - fn = time(NULL) ; - cout << "\n" << "Entire Model3 Training took: " << difftime(fn, st) - << " seconds\n"; -} - -//----------------------------------------------------------------------- - -/* - void simpleModel3Test() - { - PositionIndex l=6; - PositionIndex m=8; - alignment al(l,m); - al.set(1,1); - al.set(2,2); - al.set(3,3); - al.set(4,2); - al.set(5,0); - al.set(6,6); - al.set(7,3); - al.set(8,4); - cout << al; - PositionIndex prev_cept=0; - PositionIndex vac_all=m; - Vector<char> vac(m+1,0); - for(PositionIndex i=1;i<=l;i++) - { - PositionIndex cur_j=al.als_i[i]; - cout << "LOOP: " << i << " " << cur_j << '\n'; - PositionIndex prev_j=0; - PositionIndex k=0; - if(cur_j) { // process first word of cept - k++; - vac_all--; - assert(vac[cur_j]==0); - vac[cur_j]=1; - for(unsigned int q=0;q<vac.size();q++)cout << (vac[q]?'1':'0') << ' '; - cout << '\n'; - cout << i << " " << cur_j << ": d1(" << vacancies(vac,cur_j) << "|" << vacancies(vac,al.get_center(prev_cept)) << "," << vac_all << "+" << -al.fert(i)<< "+" << +k << ")\n" << '\n'; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - while(cur_j) { // process following words of cept - k++; - vac_all--; - vac[cur_j]=1; - int vprev=vacancies(vac,prev_j); - cout << "PREV: " << prev_j << '\n'; - for(unsigned int q=0;q<vac.size();q++)cout << (vac[q]?'1':'0') << ' '; - cout << '\n'; - cout << i << " " << cur_j << ": d>1(" << vacancies(vac,cur_j) << "-" << vprev << "|" << vac_all<< "+" << -al.fert(i)<< "+" << +k << ")\n" << '\n'; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - assert(k==al.fert(i)); - if( k ) - prev_cept=i; - } - assert(vac_all==al.fert(0)); - } - */ - -extern short DoViterbiTraining; - -struct m3_em_loop_t { - model3 *m; - int done; - int valid; - string alignfile; - string modelName; - int it; - bool dump_files; - char toModel, fromModel; - pthread_t thread; - d4model* d4; - d5model* d5; - bool final; - m3_em_loop_t() : - m(0), done(0), valid(0),d4(0),d5(0) { - } - ; -}; - -void* m3_exe_emloop(void *arg) { - m3_em_loop_t* em =(m3_em_loop_t *) arg; - em->m->viterbi_thread(em->it, em->alignfile, em->dump_files, *(em->d4),*(em->d5),em->final,em->fromModel,em->toModel,em->modelName); - em->done = -1; - return arg; -} - -void model3::viterbi_thread(int it, string alignfile, bool dump_files,d4model& d4m,d5model& d5m,bool final,char fromModel,char toModel,string& modelName) { -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, dump_files, alignfile.c_str(), true, modelName,final - switch (toModel) { - case '3':{ - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0); - break; - default: - abort(); - } - break; - } - case '4': { - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d4model>(TRAIN_ARGS,h,&d4m); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m); - break; - case '4': - viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m); - break; - default: - abort(); - } - } - break; - case '5': { - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d5model>(TRAIN_ARGS,h,&d5m); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3, void, d5model>(TRAIN_ARGS, (void*)0,&d5m); - break; - case '4': - viterbi_loop_with_tricks<transpair_model4, d4model, d5model>(TRAIN_ARGS, &d4m,&d5m); - break; - case '5': - viterbi_loop_with_tricks<transpair_model5, d5model, d5model>(TRAIN_ARGS, &d5m,&d5m); - break; - default: - abort(); - } - } - break; - default: - abort(); - } - -} -extern short NCPUS; - -int model3::viterbi(int noIterationsModel3, int noIterationsModel4, - int noIterationsModel5, int noIterationsModel6, const char* prev_d4,const char* prev_d4_2,bool dumpCount, - const char* dumpCountName, bool useString) { - double minErrors=1.0; - int minIter=0; - if(ewordclasses==NULL) - ewordclasses = new WordClasses; - if(fwordclasses==NULL) - fwordclasses = new WordClasses; - d4model d4m(MAX_SENTENCE_LENGTH,*ewordclasses,*fwordclasses); - if(prev_d4){ - string previous_d4model = prev_d4; - - string previous_d4model_1 = prev_d4_2; - cerr << "We are going to read d4 table from " << previous_d4model << "," << previous_d4model_1 << endl; - d4m.readProbTable(previous_d4model.c_str(),previous_d4model_1.c_str()); - } - if(h==NULL) - d4m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes", - TargetVocabFilename+".classes",Elist,Flist); - - d5model d5m(d4m); - //d5m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes", - // TargetVocabFilename+".classes"); - time_t it_st, st, it_fn, fn; - bool dump_files = false; - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - st = time(NULL); - sHandler1.rewind(); - if (testPerp && testHandler) - (*testHandler).rewind(); - string trainingString; - - trainingString+=(prev_d4 ? '4' : (h ? 'H' : '3')); - for (int i=0; i<noIterationsModel3; ++i) - trainingString+='3'; - for (int i=0; i<noIterationsModel4; ++i) - trainingString+='4'; - for (int i=0; i<noIterationsModel5; ++i) - trainingString+='5'; - for (int i=0; i<noIterationsModel6; ++i) - trainingString+='6'; - cout << "\n==========================================================\n"; - cout << "Starting "<<trainingString<<": Viterbi Training"; - cout << "\n "<<trainingString<<" Training Started at: "<< ctime(&st) - << '\n'; - - - vector<m3_em_loop_t> th; - th.resize(NCPUS); - - int k; - - for(k = 1; k< NCPUS; k++){ - th[k].m = this; - th[k].d4 = &d4m; - th[k].d5 = &d5m; - } - - for (unsigned int it=1; it < trainingString.length(); it++) { - bool final=0; - if (it==trainingString.length()-1) - final=1; - string modelName; - char fromModel=trainingString[it-1], toModel=trainingString[it]; - if (fromModel==toModel) - modelName=string("Model")+fromModel; - else - modelName=string("T")+fromModel+"To"+toModel; - it_st = time(NULL); - cout <<"\n---------------------\n"<<modelName<<": Iteration " << it - <<'\n'; - dump_files = (final || ((Model3_Dump_Freq != 0) && ((it - % Model3_Dump_Freq) == 0))) && !NODUMPS; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - if (final) - number="final"; - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".A3." + number; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - // clear count tables - // tCountTable.clear(); - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear(); - d4m.clear(); - p0_count = p1_count = 0; - //dump_files=true; - - sHandler1.rewind(); - if (testPerp && testHandler) - (*testHandler).rewind(); - - char node[2] ; - node[1] = '\0'; - for (k=1 ; k< NCPUS ; k++){ - th[k].m = this; - th[k].done = 0; - th[k].valid = 0; - th[k].it = it; - th[k].final = final; - th[k].alignfile = alignfile + ".part"; - node[0] = '0' + k; - th[k].alignfile += node; - th[k].dump_files = dump_files; - th[k].fromModel = fromModel; - th[k].toModel = toModel; - th[k].modelName = modelName; - th[k].valid = pthread_create(&(th[k].thread),NULL,m3_exe_emloop,&(th[k])); - if(th[k].valid){ - cerr << "Error starting thread " << k << endl; - } - } - node[0] = '0'; - alignfile = alignfile + ".part"; - alignfile += node; - -#ifdef TRICKY_IBM3_TRAINING - -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, dump_files, alignfile.c_str(), true, modelName,final -#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final - switch (toModel) { - case '3': - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TEST_ARGS, h,(void*)0); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model3>( TEST_ARGS, (void*)0,(void*)0); - break; - default: - abort(); - } - break; - case '4': { - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d4model>(TRAIN_ARGS,h,&d4m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, - d4model>(TEST_ARGS, h,&d4m); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model3, void, d4model>( TEST_ARGS , (void*)0,&d4m); - break; - case '4': - viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model4, d4model, d4model>( TEST_ARGS, &d4m,&d4m); - break; - default: - abort(); - } - if(dumpCount && it == trainingString.length()-1){ - string realD4TableName = dumpCountName; - realD4TableName += ".d4.count"; - string realD4bTableName = realD4TableName+".b"; - if(!d4m.dumpCount(realD4TableName.c_str(),realD4bTableName.c_str())) - cerr <<"Error writing count file to" << realD4TableName << endl; - } - d4m.normalizeTable(); - if (dump_files) - d4m.printProbTable(d4file.c_str(), d4file2.c_str()); - } - break; - case '5': { - switch (fromModel) { - case 'H': - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, d5model>(TRAIN_ARGS,h,&d5m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_modelhmm, const hmm, - d5model>(TEST_ARGS, h,&d5m); - break; - case '3': - viterbi_loop_with_tricks<transpair_model3, void, d5model>(TRAIN_ARGS, (void*)0,&d5m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model3, void, d5model>( TEST_ARGS , (void*)0,&d5m); - break; - case '4': - viterbi_loop_with_tricks<transpair_model4, d4model, d5model>(TRAIN_ARGS, &d4m,&d5m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model4, d4model, d5model>( TEST_ARGS, &d4m,&d5m); - break; - case '5': - viterbi_loop_with_tricks<transpair_model5, d5model, d5model>(TRAIN_ARGS, &d5m,&d5m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model5, d5model, d5model>( TEST_ARGS, &d5m,&d5m); - break; - default: - abort(); - } - if(dumpCount && it == trainingString.length()-1){ - string realD4TableName = dumpCountName; - realD4TableName += ".d4"; - string realD4bTableName = realD4TableName+".b"; - if(!d5m.d4m.dumpCount(realD4TableName.c_str(),realD4bTableName.c_str())) - cerr <<"Error writing count file to" << realD4TableName << endl; - } - d5m.d4m.normalizeTable(); - if (dump_files) - d5m.d4m.printProbTable(d4file.c_str(), d4file2.c_str()); - d5m.normalizeTable(); - if (dump_files) { - ofstream d5output(d5file.c_str()); - d5output << d5m; - } - } - break; - default: - abort(); - } - -#else - viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files, - alignfile.c_str(), true, model); - if (testPerp && testHandler) - viterbi_loop(*testPerp, *testViterbiPerp, *testHandler, - dump_files, test_alignfile.c_str(), false, model); -#endif - for (k=1;k<NCPUS;k++){ - pthread_join((th[k].thread),NULL); - cerr << "Thread " << k << "done" << endl; - } - if (errorsAL()<minErrors) { - minErrors=errorsAL(); - minIter=it; - } - // now normalize count tables -// dump_files = true; - if (dump_files&&OutputInAachenFormat==1) - tTable.printCountTable(tfile.c_str(), Elist.getVocabList(), - Flist.getVocabList(), 1); - perp.record(modelName); - errorReportAL(cerr, modelName); - trainViterbiPerp.record(modelName); - - if(dumpCount && it == trainingString.length()-1){ - string realTableName = dumpCountName; - realTableName += ".t.count"; - tTable.printCountTable(realTableName.c_str(),Elist.getVocabList(),Flist.getVocabList(),useString); - string realATableName = dumpCountName; - realATableName += ".a.count"; - aCountTable.printRealTable(realATableName.c_str()); - string realDTableName = dumpCountName; - realDTableName += ".d.count"; - dCountTable.printRealTable(realDTableName.c_str()); - string realNTableName = dumpCountName; - realNTableName += ".n.count"; - nCountTable.printRealNTable(Elist.uniqTokens(),realNTableName.c_str(),Elist.getVocabList(),useString); - } - - tTable.normalizeTable(Elist, Flist); - aCountTable.normalize(aTable); - dCountTable.normalize(dTable); - nCountTable.normalize(nTable, &Elist.getVocabList()); - sHandler1.rewind(); - //testHandler->rewind(); - // cout << "tTable contains " << - // tTable.getHash().bucket_count() << " buckets and "<< - //tTable.getHash().size() << " entries.\n"; - - // normalize p1 & p0 - - cout << "p0_count is " << p0_count << " and p1 is " << p1_count << "; "; - if (P0!=-1.0) { - p0 = P0; - p1 = 1-P0; - } else { - if (p1_count + p0_count != 0) { - p1 = p1_count / (p1_count + p0_count ); - p0 = 1 - p1; - } else { - p1 = p0 = 0; - cerr << "ERROR: p0_count+p1_count is zero!!!\n"; - } - } - - cout << "p0 is " << p0 << " p1: " << p1 << '\n'; - - cout << modelName<<": TRAIN CROSS-ENTROPY " << perp.cross_entropy() - << " PERPLEXITY " << perp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ":("<<it<<" TEST CROSS-ENTROPY " << (*testPerp).cross_entropy() << " PERPLEXITY " << (*testPerp).perplexity() << " sum: " << (*testPerp).getSum()<< " wc: " << (*testPerp).word_count() << '\n'; - cout << modelName << ": ("<<it<<") TRAIN VITERBI CROSS-ENTROPY " - << trainViterbiPerp.cross_entropy() << " PERPLEXITY " - << trainViterbiPerp.perplexity() << '\n'; - if (testPerp && testHandler) - cout << modelName << ": ("<<it<<")TEST VITERBI CROSS-ENTROPY " - << (*testViterbiPerp).cross_entropy() << " PERPLEXITY " - << (*testViterbiPerp).perplexity() << " Sum: " << (*testViterbiPerp).getSum() << " wc: " << (*testViterbiPerp).word_count() << '\n'; - //dump_files = true; - if (dump_files) { - if (OutputInAachenFormat==0) - tTable.printProbTable(tfile.c_str(), Elist.getVocabList(), - Flist.getVocabList(), OutputInAachenFormat); - aTable.printTable(afile.c_str()); - dTable.printTable(dfile.c_str()); - nTable.printNTable(Elist.uniqTokens(), nfile.c_str(), - Elist.getVocabList(), OutputInAachenFormat); - ofstream of(p0file.c_str()); - of << p0; - of.close(); - } - it_fn = time(NULL) ; - cout << "\n" << modelName << " Viterbi Iteration : "<<it<< " took: " - << difftime(it_fn, it_st) << " seconds\n"; - } /* of iterations */ - fn = time(NULL); - cout << trainingString <<" Training Finished at: " << ctime(&fn) << "\n"; - cout << "\n" << "Entire Viterbi "<<trainingString<<" Training took: " - << difftime(fn, st) << " seconds\n"; - cout << "==========================================================\n"; - if (noIterationsModel4||noIterationsModel5) - minIter-=noIterationsModel3; - if (noIterationsModel5) - minIter-=noIterationsModel4; - return minIter; -} - -int model3::viterbi_hto3() { - - double minErrors=1.0; - int minIter=0; - time_t it_st, st, it_fn, fn; - bool dump_files = false; - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - st = time(NULL); - cout << "Starting HMM To Model 3 Viterbi Training"; - cout << "\n hto3 Training Started at: "<< ctime(&st) << '\n'; - string modelName="H23"; - //cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n'; - int it = 1; - bool final =false; - ///ump_files = true; - dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq) - == 0))) && !NODUMPS; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - if (final) - number="final"; - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".AH3_"; - char _p[2]; - _p[1] = 0; - _p[0] = iter + '0'; - alignfile += _p; - alignfile += ".part"; - _p[1] = 0; - _p[0] = part + '0'; - alignfile += _p; - test_alignfile = Prefix + ".tst.A3." + number; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - // clear count tables - // tCountTable.clear(); - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear(); - p0_count = p1_count = 0; - -#ifdef TRICKY_IBM3_TRAINING - -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final -#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final - viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TRAIN_ARGS,h,(void*)0); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_modelhmm, const hmm>(TEST_ARGS, h,(void*)0); - -#else - viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files, - alignfile.c_str(), true, model); - if (testPerp && testHandler) - viterbi_loop(*testPerp, *testViterbiPerp, *testHandler, - dump_files, test_alignfile.c_str(), false, model); -#endif - if (errorsAL()<minErrors) { - minErrors=errorsAL(); - minIter=it; - } - return minIter; -} - -int model3::viterbi_3to3() { - bool final = false; - double minErrors=1.0; - int minIter=0; - time_t it_st, st, it_fn, fn; - bool dump_files = false; - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - st = time(NULL); - cout << "Starting HMM To Model 3 Viterbi Training"; - cout << "\n hto3 Training Started at: "<< ctime(&st) << '\n'; - string modelName="H23"; - int it = 1; - - // cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n'; - - dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq) - == 0))) && !NODUMPS; - dump_files = true; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - if (final) - number="final"; - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".A3_"; - char _p[2]; - _p[1] = 0; - _p[0] = iter + '0'; - alignfile += _p; - alignfile += ".part"; - _p[1] = 0; - _p[0] = part + '0'; - alignfile += _p; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - // clear count tables - // tCountTable.clear(); - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear(); - p0_count = p1_count = 0; - -#ifdef TRICKY_IBM3_TRAINING - -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final -#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final - viterbi_loop_with_tricks<transpair_model3>( TRAIN_ARGS, (void*)0,(void*)0); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model3>( TEST_ARGS, (void*)0,(void*)0); - -#else - viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files, - alignfile.c_str(), true, model); - if (testPerp && testHandler) - viterbi_loop(*testPerp, *testViterbiPerp, *testHandler, - dump_files, test_alignfile.c_str(), false, model); -#endif - if (errorsAL()<minErrors) { - minErrors=errorsAL(); - minIter=it; - } - return minIter; -} - -d4model* model3::viterbi_3to4() { - double minErrors=1.0; - int minIter=0; - time_t it_st, st, it_fn, fn; - bool final = false; - bool dump_files = false; - if(ewordclasses==NULL) - ewordclasses = new WordClasses; - if(fwordclasses==NULL) - fwordclasses = new WordClasses; - - d4model *dm1 = new d4model(MAX_SENTENCE_LENGTH,*ewordclasses,*fwordclasses); - d4model& d4m = *dm1; - //d4m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes", - // TargetVocabFilename+".classes"); - - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - st = time(NULL); - cout << "Starting Model 3 To Model 4 Viterbi Training"; - cout << "\n hto3 Training Started at: "<< ctime(&st) << '\n'; - string modelName="34"; - int it = 1; - //cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n'; - - dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq) - == 0))) && !NODUMPS; - dump_files = true; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - if (final) - number="final"; - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".A34_"; - char _p[2]; - _p[1] = 0; - _p[0] = iter + '0'; - alignfile += _p; - alignfile += ".part"; - _p[1] = 0; - _p[0] = part + '0'; - alignfile += _p; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - // clear count tables - // tCountTable.clear(); - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear(); - p0_count = p1_count = 0; - -#ifdef TRICKY_IBM3_TRAINING - -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final -#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final - viterbi_loop_with_tricks<transpair_model3, void, d4model>(TRAIN_ARGS, (void*)0,&d4m); - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model3, void, d4model>( TEST_ARGS , (void*)0,&d4m); - -#else - viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files, - alignfile.c_str(), true, model); - if (testPerp && testHandler) - viterbi_loop(*testPerp, *testViterbiPerp, *testHandler, - dump_files, test_alignfile.c_str(), false, model); -#endif - if (errorsAL()<minErrors) { - minErrors=errorsAL(); - minIter=it; - } - return dm1; -} - -int model3::viterbi_4to4(d4model& d4m) { - double minErrors=1.0; - int minIter=0; - bool dump_files = false; - - //d4model d4m(MAX_SENTENCE_LENGTH); - //d4m.makeWordClasses(Elist, Flist, SourceVocabFilename+".classes", - // TargetVocabFilename+".classes"); - - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - - cout << "Starting Model4 To Model 4 Viterbi Training"; - int it = 1; - bool final = false; - dump_files = (final || ((Model3_Dump_Freq != 0) && ((it % Model3_Dump_Freq) - == 0))) && !NODUMPS; - dump_files = true; - - string modelName="H23"; - //cout <<"\n---------------------\n"<<modelName<<": Iteration " << it<<'\n'; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = it; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".A4_"; - char _p[2]; - _p[1] = 0; - _p[0] = iter + '0'; - alignfile += _p; - alignfile += ".part"; - _p[1] = 0; - _p[0] = part + '0'; - alignfile += _p; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - // clear count tables - // tCountTable.clear(); - dCountTable.clear(); - aCountTable.clear(); - initAL(); - nCountTable.clear(); - p0_count = p1_count = 0; - -#ifdef TRICKY_IBM3_TRAINING - -#define TRAIN_ARGS perp, trainViterbiPerp, sHandler1, true, alignfile.c_str(), true, modelName,final -#define TEST_ARGS *testPerp, *testViterbiPerp, *testHandler, dump_files, test_alignfile.c_str(),false, modelName,final - - viterbi_loop_with_tricks<transpair_model4, d4model, d4model>(TRAIN_ARGS , &d4m,&d4m); - - if (testPerp && testHandler) - viterbi_loop_with_tricks<transpair_model4, d4model, d4model>( TEST_ARGS, &d4m,&d4m); - -#else - viterbi_loop(perp, trainViterbiPerp, sHandler1, dump_files, - alignfile.c_str(), true, model); - if (testPerp && testHandler) - viterbi_loop(*testPerp, *testViterbiPerp, *testHandler, - dump_files, test_alignfile.c_str(), false, model); -#endif - if (errorsAL()<minErrors) { - minErrors=errorsAL(); - minIter=it; - } - return minIter; -} - -struct model3_align_struct { - model3 *m; - int part; - int iter; - int valid; - pthread_t thread; - int done; - d4model *d4; - int result; - model3_align_struct() : - m(NULL), part(0), iter(0), valid(0), done(0), d4(NULL) { - } - -}; - -void* em_thread_h23(void *arg) { - model3_align_struct * m3 = (model3_align_struct*) arg; - m3->m->initAL(); - m3->result = m3->m->viterbi_hto3(); - m3->done = 1; - return m3; -} - -void* em_thread_323(void *arg) { - model3_align_struct * m3 = (model3_align_struct*) arg; - m3->m->initAL(); - m3->result = m3->m->viterbi_3to3(); - m3->done = 1; - return m3; -} - -void* em_thread_324(void *arg) { - model3_align_struct * m3 = (model3_align_struct*) arg; - m3->m->initAL(); - m3->d4 = m3->m->viterbi_3to4(); - m3->done = 1; - return m3; -} - -void* em_thread_424(void *arg) { - model3_align_struct * m3 = (model3_align_struct*) arg; - m3->m->initAL(); - m3->result = m3->m->viterbi_4to4(*(m3->d4)); - m3->done = 1; - return m3; -} - -void multi_thread_m34_em(model3& m3, int ncpu, int Model3_Iterations, - int Model4_Iterations) { - string tfile, tfile_actual, dfile, afile, nfile, nfile_actual, p0file, - alignfile, number, test_alignfile, d4file, d5file, zeroFertFile; - vector<model3_align_struct> threads; - bool dump_files = false; - threads.resize(ncpu); - time_t it_st, st, it_fn, fn; - int i, j; - int H = 0; - int T4 = Model3_Iterations; - ncpu=1; - vector<amodel<COUNT> > counts; - counts.resize(ncpu); - m3.part=0; - for (i=1; i<ncpu; i++) { - threads[i].m = new model3(m3,m3.dTable,m3.nTable,counts[i]); - threads[i].m->setHMM(m3.h); - threads[i].m->part = i; - } - d4model *d4m= NULL; - st = time(NULL); - - string trainingString; - trainingString+=(m3.h ? 'H' : '3'); - for (int i=0; i<Model3_Iterations; ++i) - trainingString+='3'; - for (int i=0; i<Model4_Iterations; ++i) - trainingString+='4'; - cout << "\n==========================================================\n"; - cout << "Starting "<<trainingString<<": Viterbi Training"; - cout << "\n "<<trainingString<<" Training Started at: "<< ctime(&st) - << '\n'; - - for (i=0; i<Model3_Iterations+Model4_Iterations; i++) { - m3.perp.clear(); - m3.trainViterbiPerp.clear(); - m3.iter = i; - bool final = (i==Model3_Iterations-1 || i == Model4_Iterations - +Model3_Iterations-1); - dump_files = (final || ((Model3_Dump_Freq != 0) && ((i - % Model3_Dump_Freq) == 0))) && !NODUMPS; - m3.sHandler1.rewind(); - m3.perp.clear() ; // clears cross_entrop & perplexity - m3.trainViterbiPerp.clear() ; // clears cross_entrop & perplexity - string modelName; - it_st = time(NULL); - dump_files = (final || ((Model3_Dump_Freq != 0) && ((i - % Model3_Dump_Freq) == 0))) && !NODUMPS; - string d4file2; - { - // set up the names of the files where the tables will be printed - int n = i; - number = ""; - do { - //mj changed next line - number.insert((size_t) 0, 1, (char)(n % 10 + '0')); - } while ((n /= 10) > 0); - if (final) - number="final"; - tfile = Prefix + ".t3." + number; - tfile_actual = Prefix + ".actual.t3." + number; - afile = Prefix + ".a3." + number; - nfile = Prefix + ".n3." + number; - nfile_actual = Prefix + ".actual.n3." + number; - dfile = Prefix + ".d3." + number; - d4file = Prefix + ".d4." + number; - d4file2 = Prefix + ".D4." + number; - d5file = Prefix + ".d5." + number; - alignfile = Prefix + ".A3." + number; - test_alignfile = Prefix + ".tst.A3." + number; - p0file = Prefix + ".p0_3." + number; - } - if (m3.testPerp && m3.testHandler) { - m3.testHandler->rewind(); - m3.testPerp->clear(); - m3.testViterbiPerp->clear(); - } - - for (j=1; j<ncpu; j++) { - threads[j].m->p0 = m3.p0; - threads[j].m->p1 = m3.p1; - threads[j].m->p0_count = 0; - threads[j].m->p1_count = 0; - threads[j].m->nCountTable.clear(); - threads[j].m->dCountTable.clear(); - threads[j].m->aCountTable.clear(); - threads[j].m->iter = i; - if (threads[j].d4) { - *(threads[j].d4) = *d4m; - threads[j].d4->clear(); - } - } - if (i==0) { // H23 - for (j=1; j<ncpu; j++) { - threads[j].valid = pthread_create(&(threads[j].thread), NULL, - em_thread_h23, &(threads[j])); - if (threads[j].valid) { - cerr << "Error Starting Thread " << j << endl; - } - } - modelName = "HTO3"; - m3.viterbi_hto3(); - while (1) { - bool done = true; - for (j=1; j<ncpu; j++) { - //pthread_join((args[j].thread),NULL); - // Start normalization as soon as possible - if (threads[j].done==1) { - threads[j].done = 2; - m3.aCountTable.merge(threads[j].m->aCountTable); - m3.dCountTable.merge(threads[j].m->dCountTable); - m3.nCountTable.merge(threads[j].m->nCountTable, - m3.Elist.uniqTokens(), m3.Elist.getVocabList()); - m3.p0_count += threads[j].m->p0_count; - m3.p1_count += threads[j].m->p1_count; - } else if (threads[j].done==2) { - // Nothing - } else if (threads[j].done==0) { - done = false; - } - } - if (done) - break; - } - } else if (i>0 && i< Model3_Iterations) { - modelName = "3TO3"; - for (j=1; j<ncpu; j++) { - threads[j].valid = pthread_create(&(threads[j].thread), NULL, - em_thread_323, &(threads[j])); - if (threads[j].valid) { - cerr << "Error Starting Thread " << j << endl; - } - } - m3.viterbi_3to3(); - while (1) { - bool done = true; - for (j=1; j<ncpu; j++) { - //pthread_join((args[j].thread),NULL); - // Start normalization as soon as possible - if (threads[j].done==1) { - threads[j].done = 2; - m3.aCountTable.merge(threads[j].m->aCountTable); - m3.dCountTable.merge(threads[j].m->dCountTable); - m3.nCountTable.merge(threads[j].m->nCountTable, - m3.Elist.uniqTokens(), m3.Elist.getVocabList()); - m3.p0_count += threads[j].m->p0_count; - m3.p1_count += threads[j].m->p1_count; - } else if (threads[j].done==2) { - // Nothing - } else if (threads[j].done==0) { - done = false; - } - } - if (done) - break; - } - } else if (i==Model3_Iterations) { - modelName = "3TO4"; - for (j=1; j<ncpu; j++) { - threads[j].valid = pthread_create(&(threads[j].thread), NULL, - em_thread_324, &(threads[j])); - if (threads[j].valid) { - cerr << "Error Starting Thread " << j << endl; - } - } - d4m = m3.viterbi_3to4(); - while (1) { - bool done = true; - for (j=1; j<ncpu; j++) { - //pthread_join((args[j].thread),NULL); - // Start normalization as soon as possible - if (threads[j].done==1) { - threads[j].done = 2; - m3.aCountTable.merge(threads[j].m->aCountTable); - m3.dCountTable.merge(threads[j].m->dCountTable); - m3.nCountTable.merge(threads[j].m->nCountTable, - m3.Elist.uniqTokens(), m3.Elist.getVocabList()); - m3.p0_count += threads[j].m->p0_count; - m3.p1_count += threads[j].m->p1_count; - d4m->merge(*threads[j].d4); - } else if (threads[j].done==2) { - // Nothing - } else if (threads[j].done==0) { - done = false; - } - } - if (done) - break; - } - } else if (i>Model3_Iterations) { - modelName = "4TO4"; - for (j=1; j<ncpu; j++) { - threads[j].valid = pthread_create(&(threads[j].thread), NULL, - em_thread_424, &(threads[j])); - if (threads[j].valid) { - cerr << "Error Starting Thread " << j << endl; - } - } - m3.viterbi_4to4(*d4m); - while (1) { - bool done = true; - for (j=1; j<ncpu; j++) { - //pthread_join((args[j].thread),NULL); - // Start normalization as soon as possible - if (threads[j].done==1) { - threads[j].done = 2; - m3.aCountTable.merge(threads[j].m->aCountTable); - m3.dCountTable.merge(threads[j].m->dCountTable); - m3.nCountTable.merge(threads[j].m->nCountTable, - m3.Elist.uniqTokens(), m3.Elist.getVocabList()); - m3.p0_count += threads[j].m->p0_count; - m3.p1_count += threads[j].m->p1_count; - d4m->merge(*(threads[j].d4)); - } else if (threads[j].done==2) { - // Nothing - } else if (threads[j].done==0) { - done = false; - } - } - if (done) - break; - } - } - m3.perp.record(modelName); - m3.errorReportAL(cerr, modelName); - m3.trainViterbiPerp.record(modelName); - - m3.tTable.normalizeTable(m3.Elist, m3.Flist); - m3.aCountTable.normalize(m3.aTable); - m3.aCountTable.clear(); - m3.dCountTable.normalize(m3.dTable); - m3.dCountTable.clear(); - m3.nCountTable.normalize(m3.nTable, &(m3.Elist.getVocabList())); - m3.nCountTable.clear(); - cout << "p0_count is " << m3.p0_count << " and p1 is " << m3.p1_count - << "; "; - if (P0!=-1.0) { - m3.p0 = P0; - m3.p1 = 1-P0; - } else { - if (m3.p1_count + m3.p0_count != 0) { - m3.p1 = m3.p1_count / (m3.p1_count + m3.p0_count ); - m3.p0 = 1 - m3.p1; - } else { - m3.p1 = m3.p0 = 0; - cerr << "ERROR: p0_count+p1_count is zero!!!\n"; - } - } - m3.p0_count = m3.p1_count = 0; - cout << "p0 is " << m3.p0 << " p1: " << m3.p1 << '\n'; - if (d4m) { - d4m->normalizeTable(); - d4m->clear(); - } - - cout << modelName<<": TRAIN CROSS-ENTROPY " << m3.perp.cross_entropy() - << " PERPLEXITY " << m3.perp.perplexity() << '\n'; - if (m3.testPerp && m3.testHandler) - cout << modelName << ":("<<i<<" TEST CROSS-ENTROPY " - << m3.testPerp->cross_entropy() << " PERPLEXITY " - << m3.testPerp->perplexity() << " sum: " - << m3.testPerp->getSum()<< " wc: " - << m3.testPerp->word_count() << '\n'; - cout << modelName << ": ("<<i<<") TRAIN VITERBI CROSS-ENTROPY " - << m3.trainViterbiPerp.cross_entropy() << " PERPLEXITY " - << m3.trainViterbiPerp.perplexity() << '\n'; - bool dump_files = true; - if (dump_files) { - if (OutputInAachenFormat==0) - m3.tTable.printProbTable(tfile.c_str(), - m3.Elist.getVocabList(), m3.Flist.getVocabList(), - OutputInAachenFormat); - m3.aTable.printTable(afile.c_str()); - m3.dTable.printTable(dfile.c_str()); - m3.nTable.printNTable(m3.Elist.uniqTokens(), nfile.c_str(), - m3.Elist.getVocabList(), OutputInAachenFormat); - ofstream of(p0file.c_str()); - of << m3.p0; - of.close(); - } - it_fn = time(NULL); - cout << "\n" << modelName << " Viterbi Iteration : "<<i<< " took: " - << difftime(it_fn, it_st) << " seconds\n"; - } - fn = time(NULL); - cout << trainingString <<" Training Finished at: " << ctime(&fn) << "\n"; - cout << "\n" << "Entire Viterbi "<<trainingString<<" Training took: " - << difftime(fn, st) << " seconds\n"; - cout << "==========================================================\n"; - -} - diff --git a/mgizapp/src/model3.h b/mgizapp/src/model3.h deleted file mode 100644 index c3e7d28..0000000 --- a/mgizapp/src/model3.h +++ /dev/null @@ -1,154 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#ifndef _model3_h -#define _model3_h 1 -#include <assert.h> -#include <iostream> -#include <algorithm> -#include <functional> -#include <map> -#include <set> -#include "Vector.h" -#include <utility> -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif - -#include <time.h> -#include <fstream> -#include <math.h> -#include "MoveSwapMatrix.h" -#include "TTables.h" -#include "ATables.h" -#include "NTables.h" -#include "getSentence.h" -#include "defs.h" -#include "model2.h" -#include "Perplexity.h" -#include "transpair_model3.h" -#include "transpair_modelhmm.h" -#include "alignment.h" -#include "vocab.h" -#include "D4Tables.h" -#include "D5Tables.h" -#include "AlignTables.h" -#include "syncObj.h" -class model3 : public model2 { - Mutex plock; -public: - amodel<PROB>& dTable; - amodel<COUNT> dCountTable; - - PROB p0, p1; - SyncDouble p0_count, p1_count; - - nmodel<PROB>& nTable; - nmodel<COUNT> nCountTable; - hmm*h; - int part; - int iter; - -private: - WordClasses* ewordclasses; - WordClasses* fwordclasses; -public: - - model3(model2& m2); - void setHMM(hmm*_h) { - ewordclasses = &(_h->ewordclasses); - fwordclasses = &(_h->fwordclasses); - h=_h; - } - model3(model2& m2, amodel<PROB>& d, nmodel<PROB>& n); - model3(model3& m3, amodel<PROB>& d, nmodel<PROB>& n, amodel<COUNT>&); - ~model3(); - // methods - void transfer(sentenceHandler&, bool, Perplexity&, Perplexity&, - bool updateT=1); - void transferSimple(sentenceHandler&, bool, Perplexity&, Perplexity&, - bool updateT=1); - void load_tables(const char *nfile, const char *dfile, const char *p0file); - - void em(int, sentenceHandler&); - int viterbi(int, int, int, int,const char* prev_d4 = NULL,const char* prev_d4_2=NULL,bool dumpCount = false, - const char* dumpCountName = NULL, bool useString = false); - int viterbi_hto3(); - d4model* viterbi_3to4(); - int viterbi_3to3(); - int viterbi_4to4(d4model& d4m); - void viterbi_thread(int it, string alignfile, bool dump_files,d4model& d4m,d5model& d5m,bool final,char fromModel,char toModel,string& modelName); -private: - - - LogProb prob_of_special(Vector<WordIndex>&, Vector<WordIndex>&, - tmodel<COUNT, PROB>&, Vector<WordIndex>&, Vector<WordIndex>&); - - LogProb prob_of_target_and_alignment_given_source(Vector<WordIndex>&, - Vector<WordIndex>&, tmodel<COUNT, PROB>&, Vector<WordIndex>&, - Vector<WordIndex>&); - LogProb prob_of_target_given_source(tmodel<COUNT, PROB>&, - Vector<WordIndex>&, Vector<WordIndex>&); - - LogProb scoreOfMove(Vector<WordIndex>&, Vector<WordIndex>&, - Vector<WordIndex>&, Vector<WordIndex>&, tmodel<COUNT, PROB>&, - WordIndex, WordIndex); - - LogProb scoreOfSwap(Vector<WordIndex>&, Vector<WordIndex>&, - Vector<WordIndex>&, tmodel<COUNT, PROB>&, int, int); - - void hillClimb(Vector<WordIndex>&, Vector<WordIndex>&, Vector<WordIndex>&, - Vector<WordIndex>&, LogProb&, tmodel<COUNT, PROB>&, int, int); - - void findBestAlignment(Vector<WordIndex>&, Vector<WordIndex>&, - Vector<WordIndex>&, Vector<WordIndex>&, LogProb&, int, int); - - void findAlignmentsNeighborhood(Vector<WordIndex>&, Vector<WordIndex>&, - LogProb&align_total_count, alignmodel&neighborhood, int, int); - void collectCountsOverAlignement(const Vector<WordIndex>& es, - const Vector<WordIndex>& fs, const Vector<WordIndex>&, LogProb, - float count); - LogProb viterbi_model2(const transpair_model3&ef, alignment&output, - int pair_no, int i_peg = -1, int j_peg = -1) const; - LogProb _viterbi_model2(const transpair_model2&ef, alignment&output, - int i_peg = -1, int j_peg = -1) const; - LogProb viterbi_model2(const transpair_modelhmm&ef, alignment&output, - int pair_no, int i_peg = -1, int j_peg = -1) const; - -private: - void estimate_t_a_d(sentenceHandler& sHandler1, Perplexity& perp, Perplexity& perp1, - bool simple, bool dump_files, bool updateT); - void viterbi_loop(Perplexity&, Perplexity&, sentenceHandler&, bool, - const char*, bool, string model); - - template<class MODEL_TYPE, class A, class B> void viterbi_loop_with_tricks( - Perplexity&, Perplexity&, sentenceHandler&, bool, const char*, - bool, string model, bool final, A*d4m, B*d5m); - -}; - -void multi_thread_m34_em(model3& m3, int ncpu, int Model3_Iterations, - int Model4_Iterations); - -#endif diff --git a/mgizapp/src/model345-peg.cpp b/mgizapp/src/model345-peg.cpp deleted file mode 100644 index 8c1bde6..0000000 --- a/mgizapp/src/model345-peg.cpp +++ /dev/null @@ -1,191 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "model3.h" -#include "collCounts.h" - -bool makeOneMoveSwap(const alignment&x,const alignment&y,set<OneMoveSwap>&soms) -{ - OneMoveSwap oms; - oms.type=0; - int count=0; - Vector<int> positions(4); - assert(x.get_m()==y.get_m()); - for(PositionIndex j=1;j<=x.get_m();j++) - if(x(j)!=y(j)) - { - if(count==4) - return 0; - positions[count]=j; - count++; - } - assert(count>0); - if(count==1) - { - oms.type=1; - oms.a=positions[0]; - oms.b=y(positions[0]); - soms.insert(oms); - for(unsigned int j=1;j<=x.get_m();++j) - { - if( int(j)!=positions[0]&&y(j)==y(positions[0])) - { - oms.type=3; - oms.a=j; - oms.b=x(positions[0]); - soms.insert(oms); - } - } - for(unsigned int j=1;j<=x.get_m();++j) - { - if( int(j)!=positions[0]&&x(j)==x(positions[0])) - { - oms.type=2; - oms.a=positions[0]; - oms.b=j; - if( oms.b<oms.a)swap(oms.b,oms.a); - soms.insert(oms); - } - } - return 1; - } - else if(count==2) - { - if(x(positions[0])==y(positions[1]) && x(positions[1])==y(positions[0])) - { - oms.type=4; - oms.a=positions[0]; - oms.b=positions[1]; - soms.insert(oms); - for(unsigned int j=1;j<=x.get_m();++j) - { - if( int(j)!=positions[0]&&y(j)==y(positions[0])) - { - oms.type=2;oms.a=j;oms.b=positions[1];if( oms.b<oms.a)swap(oms.b,oms.a);soms.insert(oms); - } - if( int(j)!=positions[1]&&y(j)==y(positions[1])) - { - oms.type=2;oms.a=j;oms.b=positions[0];if( oms.b<oms.a)swap(oms.b,oms.a);soms.insert(oms); - } - } - } - else if(x(positions[0])==y(positions[1]) ) - { - oms.type=3; - oms.a=positions[0]; - oms.b=x(positions[1]); - soms.insert(oms); - oms.type=2; - oms.a=positions[0]; - oms.b=positions[1]; - soms.insert(oms); - } - else if( x(positions[1])==y(positions[0]) ) - { - oms.type=3; - oms.a=positions[1]; - oms.b=x(positions[0]); - soms.insert(oms); - oms.type=2; - oms.a=positions[0]; - oms.b=positions[1]; - soms.insert(oms); - } - oms.type=3; - oms.a=positions[0]; - oms.b=x(positions[0]); - soms.insert(oms); - oms.a=positions[1]; - oms.b=x(positions[1]); - soms.insert(oms); - return 1; - } - else if( count==3 ) - { // three differences and three different numbers - Vector<int> xx(3),yy(3); - xx[0]=x(positions[0]);xx[1]=x(positions[1]);xx[2]=x(positions[2]); - yy[0]=y(positions[0]);yy[1]=y(positions[1]);yy[2]=y(positions[2]); - sort(xx.begin(),xx.end()); - sort(yy.begin(),yy.end()); - if(xx==yy) - { - oms.type=2;oms.a=positions[0];oms.b=positions[1];soms.insert(oms); - oms.type=2;oms.a=positions[0];oms.b=positions[2];soms.insert(oms); - oms.type=2;oms.a=positions[1];oms.b=positions[2];soms.insert(oms); - } - else - { - //cout << "HERE.\n"; - if( x(positions[0])==y(positions[1])&&x(positions[1])==y(positions[0]) ) - { - oms.type=2;oms.a=positions[0];oms.b=positions[1]; - if( oms.b<oms.a) swap(oms.b,oms.a); - soms.insert(oms); - oms.type=3;oms.a=positions[2];oms.b=x(positions[2]);soms.insert(oms); - } - if( x(positions[2])==y(positions[1])&&x(positions[1])==y(positions[2]) ) - { - oms.type=2;oms.a=positions[2];oms.b=positions[1]; - if( oms.b<oms.a) swap(oms.b,oms.a); - soms.insert(oms); - oms.type=3;oms.a=positions[0];oms.b=x(positions[0]);soms.insert(oms); - } - if( x(positions[0])==y(positions[2])&&x(positions[2])==y(positions[0]) ) - { - oms.type=2;oms.a=positions[0];oms.b=positions[2]; - if( oms.b<oms.a) swap(oms.b,oms.a); - soms.insert(oms); - oms.type=3;oms.a=positions[1];oms.b=x(positions[1]);soms.insert(oms); - } - } - return 1; - } - else if(count==4) - { - Vector<int> xx(4),yy(4); - for(int i=0;i<4;++i) - { - xx[i]=x(positions[i]); - yy[i]=y(positions[i]); - } - sort(xx.begin(),xx.end()); - sort(yy.begin(),yy.end()); - if(xx==yy) - { - oms.type=2; - for(int j1=0;j1<4;j1++) - for(int j2=j1+1;j2<4;j2++) - { - if(x(positions[j1])!=x(positions[j2])&& - x(positions[j1])==y(positions[j2])&& - x(positions[j2])==y(positions[j1])) - { - oms.type=2;oms.a=positions[j1];oms.b=positions[j2]; - soms.insert(oms); - } - } - } - return 1; - } - else - return 0; -} diff --git a/mgizapp/src/model3_viterbi.cpp b/mgizapp/src/model3_viterbi.cpp deleted file mode 100644 index 8c95310..0000000 --- a/mgizapp/src/model3_viterbi.cpp +++ /dev/null @@ -1,560 +0,0 @@ -/* - - EGYPT Toolkit for Statistical Machine Translation - Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License - as published by the Free Software Foundation; either version 2 - of the License, or (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, - USA. - - */ -#include "model3.h" -#include "utility.h" -#include "Globals.h" - -LogProb model3::prob_of_target_and_alignment_given_source(Vector<WordIndex>& A, - Vector<WordIndex>& Fert, tmodel<COUNT, PROB>& tTable, - Vector<WordIndex>& fs, Vector<WordIndex>& es) { - LogProb total = 1.0; - LogProb temp = 0.0; - const LogProb zero = 0.0; - WordIndex l = es.size()-1, m = fs.size()-1; - WordIndex i, j; - - total *= pow(double(1-p1), m-2.0 * Fert[0]) * pow(double(p1), double(Fert[0])); - if (total == 0) - return (zero); - for (i = 1; i <= Fert[0]; i++) { // loop caculates m-fert[0] choose fert[0] - total *= double(m - Fert[0] - i + 1) / i; - if (total == 0) - return (zero); - } - for (i = 1; i <= l; i++) { // this loop calculates fertilities term - total *= double(nTable.getValue(es[i], Fert[i])) * (LogProb) factorial(Fert[i]); - if (total == 0) - return (zero); - } - for (j = 1; j <= m; j++) { - // temp = tTable.getValue(es[A[j]], fs[j]) ; - temp = double(tTable.getProb(es[A[j]], fs[j])); - total *= temp; - if (0 != A[j]) - total *= double(dTable.getValue(j, A[j], l, m)); - if (total == 0) - return (zero); - } - return (total); -} - -LogProb model3::prob_of_target_given_source(tmodel<COUNT, PROB>& tTable, - Vector<WordIndex>& fs, Vector<WordIndex>& es) { - - WordIndex x, y; - LogProb total = 0; - // WordIndex l = es.size(), m = fs.size(); - WordIndex l = es.size()-1, m = fs.size()-1; - Vector<WordIndex> A(fs.size(),/*-1*/0); - Vector<WordIndex> Fert(es.size(),0); - WordIndex i, j; - - for (x = 0; x < pow(l+1.0, double(m)) ; x++) { // For all possible alignmets A - y = x; - // for (j = 1 ; j < m ; j++){ - for (j = 1; j <= m; j++) { - A[j] = y % (l+1); - y /= (l+1); - } - // for(i = 0 ; i < l ; i++) - for (i = 0; i <= l; i++) - Fert[i] = 0; - // for (j = 1 ; j < m ; j++) - for (j = 1; j <= m; j++) - Fert[A[j]]++; - // if (2 * Fert[0] < m){ - if (2 * Fert[0] <= m) { /* consider alignments that has Fert[0] less than - half the length of french sentence */ - total += prob_of_target_and_alignment_given_source(A, Fert, tTable, - fs, es); - } - } - return (total); -} - -LogProb model3::scoreOfMove(Vector<WordIndex>& es, Vector<WordIndex>& fs, - Vector<WordIndex>& A, Vector<WordIndex>& Fert, - tmodel<COUNT, PROB>& tTable, WordIndex j, WordIndex i) -// returns the scaling factor of the original score if A[j] is linked to -// i, no change is really made to A -// but the score is calculated if the move is to be taken (i.e. -// no side effects on Alignment A nor its Fertility Fert -// If the value of the scaling factor is: -// 1: then the score of the new alignment if the move is taken will -// not change. -// 0.5: the new score is half the score of the original alignment. -// 2.0: the new score will be twice as much. -// -{ - // LogProb score; - LogProb change; - WordIndex m, l; - - m = fs.size() - 1; - l = es.size() - 1; - - if (A[j] == i) - // return(original_score); - return (1); - else if (A[j] == 0) { // a move from position zero to something else - change = double(p0*p0)/p1 * (double((Fert[0]*(m-Fert[0]+1))) / ((m-2*Fert[0]+1)*(m-2*Fert[0] - +2))) * (Fert[i]+1) * double(nTable.getValue(es[i], Fert[i]+1)) / double(nTable.getValue(es[i], Fert[i])) * double(tTable.getProb(es[i], fs[j])) / double(tTable.getProb(es[A[j]], fs[j])) * double(dTable.getValue(j, i, l, m)); - } else if (i == 0) { // a move to position zero - change= ((double(p1) / (p0*p0)) * (double((m-2*Fert[0])*(m-2*Fert[0]-1))/((Fert[0]+1)*(m-Fert[0]))) * (double(1)/Fert[A[j]]) * double(nTable.getValue(es[A[j]], Fert[A[j]]-1)) / double(nTable.getValue(es[A[j]], Fert[A[j]]))* double(tTable.getProb(es[i], fs[j])) / double(tTable.getProb(es[A[j]], fs[j])) * 1.0 / double(dTable.getValue(j, A[j], l, m))); - } else { // a move that does not involve position zero - change = ((double(Fert[i]+1)/Fert[A[j]]) * double(nTable.getValue(es[A[j]], Fert[A[j]]-1)) / double(nTable.getValue(es[A[j]], Fert[A[j]])) * double(nTable.getValue(es[i], Fert[i]+1)) / double(nTable.getValue(es[i], Fert[i])) * double(tTable.getProb(es[i], fs[j]))/ double(tTable.getProb(es[A[j]], fs[j])) * double(dTable.getValue(j, i, l, m))/ double(dTable.getValue(j, A[j], l, m))); - } - return (change); -} - -LogProb model3::scoreOfSwap(Vector<WordIndex>& es, Vector<WordIndex>& fs, - Vector<WordIndex>& A, tmodel<COUNT, PROB>& tTable, int j1, int j2) -// returns the scaling factor of the original score if the swap to -// take place, -// No side effects here (none of the parameters passed is changed! -// (i.e. the alignment A is not really changed) -// If the value of the scaling factor is: -// 1: then the score of the new alignment if the move is taken will -// not change. -// 0.5: the new score is half the score of the original alignment. -// 2.0: the new score will be twice as much. -// -{ - LogProb score; - WordIndex i1, i2, m, l; - - m = fs.size() - 1; - l = es.size() - 1; - if (j1 == j2 || A[j1] == A[j2]) // if swapping same position return ratio 1 - return (1); - else { - i1 = A[j1]; - i2 = A[j2]; - score = double(tTable.getProb(es[i2], fs[j1]))/double(tTable.getProb(es[i1], fs[j1])) * double(tTable.getProb(es[i1], fs[j2]))/double(tTable.getProb(es[i2], fs[j2])); - if (i1 != 0) { - score *= double(dTable.getValue(j2, i1, l, m))/double(dTable.getValue(j1, i1, l, m)); - } - if (i2 != 0) { - score *= double(dTable.getValue(j1, i2, l, m))/double(dTable.getValue(j2, i2, l, m)); - } - return (score); - } -} - -void model3::hillClimb(Vector<WordIndex>& es, Vector<WordIndex>& fs, - Vector<WordIndex>& A, Vector<WordIndex>& Fert, LogProb& best_score, - tmodel<COUNT, PROB>& tTable, int = -1, int j_peg = -1) -// Hill climbing given alignment A . -// Alignment A will be updated and also best_score -// if no pegging is needed i_peg == -1, and j_peg == -1 -{ - WordIndex i, j, l, m, j1, old_i; - LogProb change; - bool local_minima; - int level = 0; - LogProb best_change_so_far, best_change; - Vector<WordIndex> A_so_far; - Vector<WordIndex> Fert_so_far; - - l = es.size() - 1; - m = fs.size() - 1; - best_change = 1; // overall scaling factor (i.e. from the begining of climb - do { - best_change_so_far = 1; // best scaling factor of this level of hill climb - local_minima = true; - for (j = 1; j <= m; j++) { - if (int(j) != j_peg) { // make sure not to change the pegged link - for (j1 = j + 1; j1 <= m; j1++) { - // for all possible swaps - // make sure you are not swapping at same position - if ((A[j] != A[j1]) && (int(j1) != j_peg)) { - // change = scoreOfSwap(es, fs, A, best_score, tTable, j, j1); - change = scoreOfSwap(es, fs, A, tTable, j, j1); - if (change > best_change_so_far) { // if better alignment found, keep it - local_minima = false; - best_change_so_far = change; - A_so_far = A; - Fert_so_far = Fert; - old_i = A_so_far[j]; - A_so_far[j] = A_so_far[j1]; - A_so_far[j1] = old_i; - } // end of if (change > best_change_so_far) - } // end of if (A[j] != A[j1] ..) - } // of for (j1 = j+1 ....) - // for (i = 0 ; i < l ; i++){ // all possible moves - for (i = 0; i <= l; i++) { // all possible moves - if (i != A[j]) { // make sure not to move to same position - if (i != 0 || (m >= 2 * (Fert[0]+1))) { // if moving to NULL word - // (pos 0), make sure not to violate the fertility restriction - // i.e. NULL can not take more than half the target words - // change = scoreOfMove(es, fs, A, Fert, best_score, tTable, j, i); - change = scoreOfMove(es, fs, A, Fert, tTable, j, i); - if (change > best_change_so_far) { // if better alignment found, keep it - best_change_so_far = change; - local_minima = false; - A_so_far = A; - Fert_so_far = Fert; - old_i = A_so_far[j]; - A_so_far[j] = i; - Fert_so_far[old_i]--; - Fert_so_far[i]++; - } // end of if (change > best_change_so_far) - } // end of if ((i!=0) ... - } // end of if (i != A[j] ) - } // end of for (i = 0 ; ....) - } // end of if(j != j_peg) - } // end of for (j = 1 ; ...) - level++; - if (!local_minima) { - if (best_change_so_far > 1) { // if current chage is improving - A = A_so_far; - Fert = Fert_so_far; - best_change *= best_change_so_far; - } else { - local_minima = true; - } - } // end of if(!local_minima) - if (level> 15) - cerr << "."; - } while (local_minima == false); - if (level > 15) - cerr << "\nHill Climb Level: " << level << " score: scaling old: " - <<(best_score*best_change); - best_score = prob_of_target_and_alignment_given_source(A, Fert, tTable, fs, - es); - if (level>15) - cerr << " using new calc: " << best_score << '\n'; -} - -void model3::findBestAlignment(Vector<WordIndex>& es, Vector<WordIndex>& fs, - Vector<WordIndex>& A, Vector<WordIndex>& Fert, LogProb& best_score, - /*tmodel<COUNT, PROB>& tTable, - amodel<PROB>& aTable, */ - int i_peg = -1, int j_peg = -1) -// This finds the best Model2 alignment (i.e. no fertilities stuff) in A -// for the given sentence pair. Its score is returned in A. Its fertility -// info in Fert. -// if j_peg == -1 && i_peg == -1 then No pegging is performed. -{ - WordIndex i, j, l, m, best_i=0; - LogProb temp, score, ss; - - l = es.size() - 1; - m = fs.size() - 1; - for (i=0; i <= l; i++) - Fert[i] = 0; - ss = 1; - if ((j_peg != -1) && (i_peg != -1)) { // if you're doing pegging - A[j_peg] = i_peg; - Fert[i_peg] = 1; - ss *= double(tTable.getProb(es[i_peg], fs[j_peg])) * double(aTable.getValue(i_peg, j_peg, l, m)); - } - for (j = 1; j <= m; j++) { - if (int(j) != j_peg) { - score = 0; - for (i = 0; i <= l; i++) { - // first make sure that connecting target word at pos j to source word - // at pos i will not lead to a violation on Fertility restrictions - // (e.g. maximum fertility for a word, max fertility for NULL word, etc) - if ((Fert[i]+1 < MAX_FERTILITY) && ((i == 0 && (m >= 2*(Fert[0] - +1))) || (i != 0))) { - temp = double(tTable.getProb(es[i], fs[j])) * double(aTable.getValue(i, j, l, m)); - if (temp > score) { - best_i = i; - score = temp; - } // end of if (temp > score) - } // end of if (((i == 0 ...) - } // end of for (i= 0 ...) - if (score == 0) { - cerr << "WARNING: In searching for model2 best alignment\n "; - cerr << "Nothing was set for target token " << fs[j] - << "at position j: " << j << "\n"; - for (i = 0; i <= l; i++) { - cerr << "i: " << i << "ttable("<<es[i]<<", "<<fs[j]<<") = " - << tTable.getProb(es[i], fs[j]) << " atable(" << i - <<", "<<j<<", "<< l<<", "<<m<<") = " - << aTable.getValue(i, j, l, m) << " product " - << double(tTable.getProb(es[i], fs[j])) * double(aTable.getValue(i, j, l, m)) << '\n'; - if ((Fert[i]+1 < MAX_FERTILITY) && ((i == 0 && (m >= 2 - *(Fert[0]+1))) || (i != 0))) - cerr <<"Passed fertility condition \n"; - else - cerr <<"Failed fertility condition \n"; - } - - } // end of if (score == 0) - else { - Fert[best_i]++; - A[j] = best_i; - } - ss *= score; - } // end of if (j != j_peg) - } // end of for (j == 1 ; ...) - if (ss <= 0) { - cerr - << "WARNING: Model2 viterbi alignment has zero score for sentence pair:\n"; - printSentencePair(es, fs, cerr); - } - best_score = prob_of_target_and_alignment_given_source(A, Fert, tTable, fs, - es); -} - -void model3::collectCountsOverAlignement(const Vector<WordIndex>& es, - const Vector<WordIndex>& fs, const Vector<WordIndex>& A, LogProb score, - float count) { - WordIndex j, i, l, m; - Vector<WordIndex> Fert(es.size(),0); - l = es.size() - 1; - m = fs.size() - 1; - score *= LogProb(count); - COUNT temp = COUNT(score) ; - for (i=0; i <= l; i++) - Fert[i] = 0; - for (j = 1; j <= m; j++) { - Fert[A[j]]++; - tTable.incCount(es[A[j]], fs[j], temp); - // tCountTable.getRef(es[A[j]], fs[j])+=score; - if (A[j]) - dCountTable.addValue(j, A[j], l, m, temp); - aCountTable.addValue(A[j], j, l, m, temp); - } - for (i = 0; i <= l; i++) - nCountTable.addValue(es[i], Fert[i], temp); - // p1_count += score * (LogProb) (Fert[0]) ; - // p0_count += score * (LogProb) ((m - 2 * Fert[0])) ; - p1_count += temp * (Fert[0]); - p0_count += temp * ((m - 2 * Fert[0])); -} - -void model3::findAlignmentsNeighborhood(Vector<WordIndex>& es, - Vector<WordIndex>& fs, LogProb&align_total_count, - alignmodel&neighborhood, int i_peg = -1, int j_peg = -1) -// Finding the Neigborhood of a best viterbi alignment after hill climbing -// if (i_peg == -1 and j_peg == -1, then No Pegging is done. -{ - LogProb best_score, score; - WordIndex i, j, l, m, old_i, j1; - Vector<WordIndex> A(fs.size(),0); - Vector<WordIndex> Fert(es.size(),0); - time_t it_st; - - best_score = 0; - l = es.size() - 1; - m = fs.size() - 1; - findBestAlignment(es, fs, A, Fert, best_score, /*tTable, aTable,*/i_peg, - j_peg); - if (best_score == 0) { - cerr - << "WARNING: viterbi alignment score is zero for the following pair\n"; - printSentencePair(es, fs, cerr); - } - hillClimb(es, fs, A, Fert, best_score, tTable, i_peg, j_peg); - if (best_score <= 0) { - cerr - << "WARNING: Hill Climbing yielded a zero score viterbi alignment for the following pair:\n"; - printSentencePair(es, fs, cerr); - } else { // best_score > 0 - // if (2 * Fert[0] < m ){ - if (2*Fert[0] <= m) { - /* consider alignments that has Fert[0] less than - half the number of words in French sentence */ - if (neighborhood.insert(A, best_score)) { - align_total_count += best_score; - } - } else { // else part is added for debugging / Yaser - cerr - << "WARNING:Best Alignment found violates Fertility requiremnets !!\n"; - for (i = 0; i <= l; i++) - cerr << "Fert["<<i<<"] = "<< Fert[i] << "\n"; - for (j = 1; j <= m; j++) { - cerr << "A["<<j<<"] = "<< A[j] <<"\n"; - } - cerr << "Condition violated : 2 * Fert[0] <= m " << 2*Fert[0] <<"?" - << m << "\n"; - } // end of added code for debugging // Yaser - it_st = time(NULL) ; - - // Now find add all neighbors of the best alignmet to the collection - for (j = 1; j <= m; j++) { - for (j1 = j + 1; j1 <= m; j1++) { // all possible swaps - if (A[j] != A[j1]) {// make sure you are not swapping at same position - // score = best_score * scoreOfSwap(es, fs, A, best_score, tTable, j, j1); - score = best_score * scoreOfSwap(es, fs, A, tTable, j, j1); - // ADD A and its score to list of alig. to collect counts over - if (2 * Fert[0] <= m && score > 0) { - /* consider alignments that has Fert[0] less than - half the number of words in French sentence */ - old_i = A[j]; - A[j] = A[j1]; - A[j1] = old_i; - if (neighborhood.insert(A, score)) { - align_total_count += score; - } - // restore original alignment - old_i = A[j]; - A[j] = A[j1]; - A[j1] = old_i; - } - } - } - for (i = 0; i <= l; i++) { // all possible moves - if (i != A[j]) { // make sure not to move to same position - if ((Fert[i]+1 < MAX_FERTILITY) && ((i == 0 && (m >= 2 - *(Fert[0]+1))) || (i != 0))) { - // consider legal alignments only - score = best_score * scoreOfMove(es, fs, A, Fert, - tTable, j, i); - // ADD A and its score to list of alig. to collect counts over - if (score > 0) { - old_i = A[j]; - A[j] = i; - Fert[old_i]--; - Fert[i]++; - // add to list of alignemts here ****************** - if (neighborhood.insert(A, score)) { - align_total_count += score; - } - // now resotre alignment and fertilities to previoud values - A[j] = old_i; - Fert[old_i]++; - Fert[i]--; - } // end of if (score > 0) - } // end of if (i == 0 ...) - } // end of if (i != A[j]) - }// end of for(i = 0 ; ...) - }// end of for (j = 1 ; ...) - } // of else best_score <= 0 -} - -void model3::viterbi_loop(Perplexity& perp, Perplexity& viterbiPerp, - sentenceHandler& sHandler1, bool dump_files, const char* alignfile, - bool collect_counts, string model) { - WordIndex i, j, l, m; - ofstream of2; - int pair_no; - LogProb temp; - - if (dump_files) - of2.open(alignfile); - pair_no = 0; // sentence pair number - // for each sentence pair in the corpus - perp.clear() ; // clears cross_entrop & perplexity - viterbiPerp.clear(); - sentPair sent; - while (sHandler1.getNextSentence(sent)) { - Vector<WordIndex>& es = sent.eSent; - Vector<WordIndex>& fs = sent.fSent; - const float count = sent.getCount(); - if ((sent.sentenceNo % 1000) == 0) - cerr <<sent.sentenceNo << '\n'; - time_t sent_s = time(NULL) ; - pair_no++; - l = es.size() - 1; - m = fs.size() - 1; - - LogProb align_total_count=0; - // LogProb best_score; - - Vector<WordIndex> viterbi_alignment; - LogProb viterbi_score; - alignmodel neighborhood; - neighborhood.clear(); - align_total_count = 0; - findAlignmentsNeighborhood( - /*tTable, aTable,*//*p1_count, p0_count,*/es, fs, - align_total_count, neighborhood) ; - if (Peg) { - for (i = 0; i <= l; i++) - for (j = 1; j <= m; j++) { - if ( (tTable.getProb(es[i], fs[j]) > PROB_SMOOTH) - && (aTable.getValue(i, j, l, m) > PROB_SMOOTH) - && (dTable.getValue(j, i, l, m) > PROB_SMOOTH)) - findAlignmentsNeighborhood(/*tTable, aTable,*//*p1_count, - p0_count, */es, fs, align_total_count, neighborhood, i, - j); - } - } - // Now Collect counts over saved neighborhoods - viterbi_score = 0; - if (Verbose) - cerr << "\nCollecting counts over found alignments, total prob: " - << align_total_count << "\n"; - hash_map<Vector<WordIndex>, LogProb, hashmyalignment, equal_to_myalignment >::iterator - align; - int acount = 0; - if (align_total_count == 0) { - cerr << " WARNINIG: For the following sentence pair : \n"; - printSentencePair(es, fs, cerr); - cerr << "The collection of alignments found have 0 probability!!\n"; - cerr << "No counts will be collected of it \n"; - } else { - if (collect_counts) { - for (align = neighborhood.begin(); align != neighborhood.end(); align++) { - temp = (*align).second/align_total_count; - collectCountsOverAlignement(/*tTable, aCountTable, */es, - fs, /*p1_count, - p0_count ,*/((*align).first), temp, count); - acount++; - if (viterbi_score < temp) { - viterbi_alignment = ((*align).first); - viterbi_score = temp; - } - } - } // end of if (collect_counts) - perp.addFactor(log(double(align_total_count)), count, l, m, 0); - viterbiPerp.addFactor(log(double(viterbi_score)), count, l, m, 0); - - if (Verbose) { - cerr << "Collected counts over "<<acount <<" (of " << pow( - double(m), double(l+1)) <<") differnet alignments\n"; - cerr << "Bucket count of alignments hash: " - << neighborhood.getHash().bucket_count()<< ", size " - << neighborhood.getHash().size() << "\n"; - } - } // end of else - // write best alignment (viterbi) for this sentence pair to alignment file - if (collect_counts) { - if (viterbi_score <= 0) { - cerr << "Viterbi Alignment for this pair have score zero!!\n"; - of2 << "\n\n"; - } else { - if (dump_files) - printAlignToFile(es, fs, Elist.getVocabList(), - Flist.getVocabList(), of2, viterbi_alignment, - pair_no, viterbi_score); - addAL(viterbi_alignment, sent.sentenceNo, l); - } - } // end of if (collect_counts) - double period = difftime(time(NULL), sent_s); - if (Verbose) - cerr << "processing this sentence pair took : " << period - << " seconds\n"; - - } /* of sentence pair E, F */ - sHandler1.rewind(); - errorReportAL(cerr, model); - perp.record(model); - viterbiPerp.record(model); - if (dump_files) - of2.close(); - -} diff --git a/mgizapp/src/myassert.cpp b/mgizapp/src/myassert.cpp deleted file mode 100644 index 2d49be8..0000000 --- a/mgizapp/src/myassert.cpp +++ /dev/null @@ -1,20 +0,0 @@ -#include "mystl.h" -#include <iostream> -#include "myassert.h" - -#ifndef STANDARD_ASSERT -void myerror(int line,const char *file,const char *expression) -{ - cerr << "(general.h):Assertion failed: '" << expression << "' ::: b " - << file << ":" << line << endl; - cout << "(general.h):Assertion failed: '" << expression << "' ::: b " - << file << ":" << line << endl; -} -void imyerror(int line,const char *file,const char *expression) -{ - cerr << "Error: '" << expression << "' ::: in Source " << file - << ":" << line << endl; -} - -#endif - diff --git a/mgizapp/src/myassert.h b/mgizapp/src/myassert.h deleted file mode 100644 index b648fdd..0000000 --- a/mgizapp/src/myassert.h +++ /dev/null @@ -1,20 +0,0 @@ -#ifndef MY_ASSERT_DEFINED -#define MY_ASSERT_DEFINED -void myerror(int line,const char *file,const char *expression); -void imyerror(int line,const char *file,const char *expression); - -#define iassert(expression) do {if (!(expression)) {imyerror(__LINE__,__FILE__,#expression);}} while (0) - -# -#define massert(expr) do {} while(0) - -#define vassert(expr) do {} while(0) - -#include <cassert> - -#endif - - - - - diff --git a/mgizapp/src/mymath.h b/mgizapp/src/mymath.h deleted file mode 100644 index f8ad926..0000000 --- a/mgizapp/src/mymath.h +++ /dev/null @@ -1,9 +0,0 @@ -/* ---------------------------------------------------------------- */ -/* Copyright 1998 (c) by RWTH Aachen - Lehrstuhl fuer Informatik VI */ -/* Franz Josef Och */ -/* ---------------------------------------------------------------- */ -#ifndef HEADER_MYMATH_DEFINED -#define HEADER_MYMATH_DEFINED -inline double mfabs(double x){return (x<0)?(-x):x;} -#include <math.h> -#endif diff --git a/mgizapp/src/mystl.h b/mgizapp/src/mystl.h deleted file mode 100644 index 65c5ca1..0000000 --- a/mgizapp/src/mystl.h +++ /dev/null @@ -1,322 +0,0 @@ -/* ---------------------------------------------------------------- */ -/* Copyright 1998 (c) by RWTH Aachen - Lehrstuhl fuer Informatik VI */ -/* Franz Josef Och */ -/* ---------------------------------------------------------------- */ -#ifndef MY_STL_H_DEFINED -#define MY_STL_H_DEFINED - -#include <string> -using namespace std; -#ifdef USE_STLPORT -#ifdef __STL_DEBUG -using namespace _STLD; -#else -using namespace _STL; -#endif -#endif - -#include "myassert.h" -#include <string> -#include <utility> -#if __GNUC__>2 -#include <ext/hash_map> -using __gnu_cxx::hash_map; -#else -#include <hash_map> -#endif -#include <iostream> -#include "mymath.h" -#include "Array2.h" - -#define over_string(a,i) for(unsigned int i=0;i<a.length();i++) -#define over_array(a,i) for(i=(a).low();i<=(a).high();i++) -#define backwards_array(a,i) for(i=(a).high();i>=(a).low();i--) -#define over_arr(a,i) for(int i=(a).low();i<=(a).high();i++) -#define over_arrMAX(a,i,max) for(int i=(a).low();i<=min((a).high(),max-1);i++) -#define backwards_arr(a,i) for(int i=(a).high();i>=(a).low();i--) - -extern double n1mult,n2mult,n3mult; - -inline double realProb(int n1,int n2) -{ - massert(n1<=n2); - iassert(n1>=0&&n2>0); - if(n2==0)n2=1; - return ((double)n1)/(double)n2; -} - -inline double verfProb(int n1,int n2) -{ - double prob = realProb(n1,n2); - if( n1==1 )return prob*n1mult; - else if( n1==2 )return prob*n2mult; - else if( n1==3 )return prob*n3mult; - else - return prob; -} - -inline bool prefix(const string&x,const string&y) -{ - if(y.size()>x.size() ) - return 0; - for(unsigned int i=0;i<y.size();++i) - if( y[i]!=x[i] ) - return 0; - return 1; -} - - -/*template<class T> -int lev(const T&s1,const T&s2) -{ - Array2<int,vector<int> > a(s1.size()+1,s2.size()+1,1000); - Array2<pair<int,int>,vector<pair<int,int> > > back(s1.size()+1,s2.size()+1,pair<int,int>(0,0)); - for(unsigned int i=0;i<=s1.size();i++) - for(unsigned int j=0;j<=s2.size();j++) - { - if( i==0&&j==0 ) - a(i,j)=0; - else - { - int aDEL=100,aINS=100,aSUB=100; - if(i>0) - aDEL=a(i-1,j)+1; - if(j>0) - aINS=a(i,j-1)+1; - if(i>0&&j>0) - aSUB=a(i-1,j-1)+ !(s1[i-1]==s2[j-1]); - if( aSUB<=aDEL && aSUB<=aINS ) - { - a(i,j)=aSUB; - back(i,j)=pair<int,int>(i-1,j-1); - } - else if( aDEL<=aSUB && aDEL<=aINS ) - { - a(i,j)=aDEL; - back(i,j)=pair<int,int>(i-1,j); - } - else - { - a(i,j)=aINS; - back(i,j)=pair<int,int>(i,j-1); - } - } - } - return a(s1.size(),s2.size()); -} - -template<class T> -float rel_lev(const T&s1,const T&s2) -{ - if( s1.size()==0 ) - return s2.size()==0; - else - return min(1.0,lev(s1,s2)/(double)s1.size()); -}*/ - -template<class V> int Hash(const pair<V,V>&a) -{ return Hash(a.first)+13001*Hash(a.second); } - -template<class T1,class T2> -ostream& operator<<(ostream &out,const pair<T1,T2> &ir) -{ - out << "(" << ir.first << "," << ir.second << ")"; - return out; -} - -inline int Hash(const string& s) -{ - int sum=0; - string::const_iterator i=s.begin(),end=s.end(); - for(;i!=end;i++)sum=5*sum+(*i); - return sum; -} -template<class A,class B,class C> -class tri -{ -public: - A a; - B b; - C c; - tri(){}; - tri(const A&_a,const B&_b,const C&_c) - : a(_a),b(_b),c(_c) {} -}; -template<class A,class B,class C> -bool operator==(const tri<A,B,C>&x,const tri<A,B,C>&y) -{ return x.a==y.a&&x.b==y.b&&x.c==y.c;} - -template<class A,class B,class C> -bool operator<(const tri<A,B,C>&x,const tri<A,B,C>&y) -{ - if(x.a<y.a)return 1; - if(y.a<x.a)return 0; - if(x.b<y.b)return 1; - if(y.b<x.b)return 0; - if(x.c<y.c)return 1; - if(y.c<x.c)return 0; - return 0; -} - -double used_time(); - -template<class T> -class my_hash -{ -public: - int operator()(const T&t)const {return Hash(t);} -}; - -inline int Hash(int value) { return value; } -#define MY_HASH_BASE hash_map<A,B,my_hash<A> > - -template<class A,class B> -class leda_h_array : public MY_HASH_BASE -{ -private: - B init; -public: - leda_h_array() : MY_HASH_BASE() {} - leda_h_array(const B&_init) - : MY_HASH_BASE(),init(_init) {} - bool defined(const A&a) const - { return find(a)!=this->end(); } - const B&operator[](const A&a)const - { - typename MY_HASH_BASE::const_iterator pos=find(a); - if( pos==this->end() ) - return init; - else - return pos->second; - } - B&operator[](const A&a) - { - typename MY_HASH_BASE::iterator pos=find(a); - if( pos==this->end() ) - { - insert(MY_HASH_BASE::value_type(a,init)); - pos=find(a); - iassert(pos!=this->end()); - } - return pos->second; - } - const B&initValue()const - {return init;} -}; - -#define forall_defined_h(a,b,c,d) for(typename leda_h_array<a,b>::const_iterator __jj__=(d).begin();__jj__!=(d).end()&&((c=__jj__->first),1); ++__jj__) -template<class T,class U> -ostream & operator<<(ostream&out,const leda_h_array<T,U>&w) -{ - T t; - bool makeNl=0; - out << "h_array{"; - forall_defined_h(T,U,t,w) - { - if( makeNl ) - out << "\n "; - out << "EL:" << t << " INH:" << w[t] << "."; - makeNl=1; - } - return out << "}\n"; -} - -template<class T,class U> -istream & operator>>(istream&in,leda_h_array<T,U>&) -{ - return in; -} - -template<class A,class B> -bool operator==(const leda_h_array<A,B>&p1,const leda_h_array<A,B>&p2) -{ - A v; - forall_defined_h(A,B,v,p1) - if( !( p1[v]==p2[v]) ) return 0; - forall_defined_h(A,B,v,p2) - if( !( p1[v]==p2[v]) ) return 0; - return 1; -} - -template<class T> -int count_elements(T a,T b) -{ - int c=0; - while(a!=b) - { - a++; - c++; - } - return c; -} - -template<class T> -T normalize_if_possible_with_increment(T*a,T*b,int increment) -{ - T sum=0; - for(T*i=a;i!=b;i+=increment) - sum+=*i; - if( sum ) - for(T*i=a;i!=b;i+=increment) - *i/=sum; - else - { - T factor=increment/(b-a); - for(T*i=a;i!=b;i+=increment) - *i=factor; - } - return sum; -} - -template<class T> -inline int m_comp_3way(T a,T b,int n) -{ - int _n=0; - while((_n++<n) && a && b) - { - const typename T::value_type &aa=*a; - const typename T::value_type &bb=*b; - if( aa<bb )return 1; - if( bb<aa )return -1; - ++a; - ++b; - } - return 0; -} - -template<class T> -void smooth_standard(T*a,T*b,double p) -{ - int n=b-a; - if( n==0 ) - return; - double pp=p/n; - for(T*i=a;i!=b;++i) - *i = (1.0-p)*(*i)+pp; -} - -template<class T> -const T *conv(typename vector<T>::const_iterator i) -{ - return &(*i); -} -#if __GNUC__>2 -template<class T> -T *conv(typename vector<T>::iterator i) -{ - return &(*i); -} -#endif - -/*template<class T> -const T *conv(const T*x) -{ - return x; -}*/ -template<class T> -T *conv(T*x) -{ - return x; -} - -#endif diff --git a/mgizapp/src/parse.cpp b/mgizapp/src/parse.cpp deleted file mode 100644 index c8eb570..0000000 --- a/mgizapp/src/parse.cpp +++ /dev/null @@ -1,150 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ - -/* FJO 01/2001: completely reorganized parameter processing */ - -#include <strstream> -#include <string> -#include <fstream> -#include "defs.h" -#include "utility.h" -#include "Globals.h" -#include "D4Tables.h" -#include "D5Tables.h" -#include "ATables.h" -#include "Parameter.h" - -extern bool ONLYALDUMPS; - -void parseConfigFile (char * fname ) - // This functions reads in the configuration file to set up some run-time - // parameters. The parameters are global variables that are defined in - // main.cc and used all over the place in the program - // The format of the configuration file can be explained in the following way - // FORMAT: - // the character '\n' separates lines .. - // lines that start with "//" (skipping over white spaces are considered - // as comments and will be ignored. - // Any other line is considered as an attribute setting instruction and it - // is divided into haves (separated by a colon ":"). The first half is the - // attribute value which consists of the concatenation of all non-white space - // tokens before the colon. These tokens will have spaces eseparating them. - // The attribute vlue is the first token after the colon (any thing after - // it will be ignored ; - // For example : - // if the configuration file has the following entry: - // - // NO. ITERATIONS MODEL 2 : 10 - // - // then the attribute is "NO. ITERATIONS MODEL 2" , and the attribute value - // is "10" (these do not include the quotation marks). - -{ - - string line, word, attrib, attribval ; - ifstream Config_File(fname); - if(!Config_File){ - cerr << "ERROR: Cannot open configuration file " << fname << "!\n" ; - exit(1); - } - - cout << "The following options are from the config file and will be overwritten by any command line options.\n"; - - while(getline(Config_File, line)){ - - istrstream buffer(line.c_str()); - word = attrib = attribval = "" ; - buffer >> word ; - if (word != "//"){ // if line does not start with "//" (i.e. not a comment) - attrib = word ; - while((buffer >> word) && (word != ":")){ - attrib += " " + word ; - } - if(!(buffer >> attribval)) - { - istrstream buffer2(line.c_str()); - buffer2>>attrib; - buffer2>>attribval; - } - - // This# is where (1) the configuration file is defined and - // (2) parsing of its attributes occurs. - - if(attrib == "t FILE"){ - t_Filename = attribval; - cout << "\tt file: " << t_Filename << '\n'; - } - else if(attrib == "a FILE"){ - a_Filename = attribval; - cout << "\ta file: " << a_Filename << '\n'; - } - else if(attrib == "d FILE"){ - d_Filename = attribval; - cout << "\td file: " << d_Filename << '\n'; - } - else if(attrib == "n FILE"){ - n_Filename = attribval; - cout << "\tn file: " << n_Filename << '\n'; - } - else if(attrib == "p0 FILE"){ - p0_Filename = attribval; - cout << "\tp0 file: " << p0_Filename << '\n'; - } - else if ( line == ""){} - else if( !makeSetCommand(attrib,attribval,getGlobalParSet(),2) ) - cerr << "ERROR: Unrecognized attribute :" << attrib << '\n'; - } - } -} - - -void parseArguments(int argc, char *argv[]) -{ - int arg = 1; - - if(!strcmp(argv[1], "--h") || !strcmp(argv[1], "--help")){ - printHelp(); - exit(0); - } - if( argv[1][0]=='-' ) - arg=0; - else - parseConfigFile(argv[1]); - while(++arg<argc){ - if( strlen(argv[arg])>2 && argv[arg][0]=='-' && argv[arg][1]=='-' ) { - if( !makeSetCommand(argv[arg]+1,"1",getGlobalParSet(),2)) - cerr << "WARNING: ignoring unrecognized option: "<< argv[arg] << '\n' ; - } - else if( arg+1<argc && !makeSetCommand(argv[arg],argv[arg+1],getGlobalParSet(),2)) - cerr << "WARNING: ignoring unrecognized option: "<< argv[arg] << '\n' ; - else - { - arg++; - } - } - if( OPath.length() ) - OPath+="/"; - Prefix = (OPath + Prefix); - LogFilename = (OPath + LogFilename); - printGIZAPars(cout); -} - diff --git a/mgizapp/src/plain2snt.cpp b/mgizapp/src/plain2snt.cpp deleted file mode 100644 index 6e8f0b7..0000000 --- a/mgizapp/src/plain2snt.cpp +++ /dev/null @@ -1,117 +0,0 @@ -#include <iostream> -#include <string> -#include <strstream> -#include <fstream> -#include <map> -#include <vector> -#include <stdlib.h> -#include <stdio.h> - -using namespace std; - -int main(int argc,char**argv) -{ - vector<double>weights; - vector<string>filenames; - for(int i=1;i<argc;++i) - if(string(argv[i])=="-weight") - weights.push_back(atof(argv[++i])); - else - filenames.push_back(argv[i]); - - if((filenames.size()%2)==1||filenames.size()==0 ) - { - cerr << argv[0] << " txt1 txt2 [txt3 txt4 -weight w]\n"; - cerr << " Converts plain text into GIZA++ snt-format.\n"; - exit(1); - } - string line1,line2,word; - map<string,int> v1,v2; - map<string,int> id1,id2; - vector<string> iid1(2),iid2(2); - - string w1(filenames[0]); - string w2(filenames[1]); - - if( w1.length()>4&&w2.length()>4&&((w1.substr(w1.length()-4,w1.length())==".tok" && w2.substr(w2.length()-4,w2.length())==".tok" )|| - (w1.substr(w1.length()-4,w1.length())==".txt" && w2.substr(w2.length()-4,w2.length())==".txt" ) )) - { - w1=w1.substr(0,w1.length()-4); - w2=w2.substr(0,w2.length()-4); - cerr << "w1:"<< w1 << " w2:" << w2 << endl; - } - - - string vocab1(w1),vocab2(w2),snt1,snt2; - unsigned int slashpos=vocab1.rfind('/')+1; - if( slashpos>=vocab1.length() ) slashpos=0; - string vocab1x(vocab1.substr(slashpos,vocab1.length())); - cout << vocab1 << " -> " << vocab1x << endl; - slashpos=vocab2.rfind('/')+1; - if( slashpos>=vocab2.length() ) slashpos=0; - string vocab2x(vocab2.substr(slashpos,vocab2.length())); - cout << vocab2 << " -> " << vocab2x << endl; - snt1=vocab1+"_"+vocab2x+string(".snt"); - snt2=vocab2+"_"+vocab1x+string(".snt"); - vocab1+=string(".vcb"); - vocab2+=string(".vcb"); - - ofstream ovocab1(vocab1.c_str()),ovocab2(vocab2.c_str()),osnt1(snt1.c_str()),osnt2(snt2.c_str()); - for(unsigned int i=0;i<filenames.size();i+=2) - { - ifstream i1(filenames[i].c_str()),i2(filenames[i+1].c_str()); - if(!i1)cerr << "WARNING: " << filenames[i] << " cannot be read.\n"; - if(!i2)cerr << "WARNING: " << filenames[i+1] << " cannot be read.\n"; - while(getline(i1,line1) && getline(i2,line2) ) - { - vector<string> t1,t2; - istrstream ii1(line1.c_str()); - while(ii1>>word) - { - t1.push_back(word); - v1[word]++; - if( id1.find(word)==id1.end() ) - { - iid1.push_back(word); - id1[word]=iid1.size()-1; - } - } - istrstream ii2(line2.c_str()); - while(ii2>>word) - { - t2.push_back(word); - v2[word]++; - if( id2.find(word)==id2.end() ) - { - iid2.push_back(word); - id2[word]=iid2.size()-1; - } - } - double w=1.0; - if( i/2<weights.size() ) - w=weights[i/2]; - if( t1.size()&&t2.size() ) - { - osnt1 << w << "\n"; - for(unsigned int j=0;j<t1.size();++j)osnt1 << id1[t1[j]] << ' '; - osnt1 << '\n'; - for(unsigned int j=0;j<t2.size();++j)osnt1 << id2[t2[j]] << ' '; - osnt1 << '\n'; - - osnt2 << w << "\n"; - for(unsigned int j=0;j<t2.size();++j)osnt2 << id2[t2[j]] << ' '; - osnt2 << '\n'; - for(unsigned int j=0;j<t1.size();++j)osnt2 << id1[t1[j]] << ' '; - osnt2 << '\n'; - } - else - cerr << "WARNING: filtered out empty sentence (source: " << filenames[i] << " " << t1.size() << - " target: " << filenames[i+1] << " " << t2.size() << ").\n"; - } - } - - for(unsigned int i=2;i<iid1.size();++i) - ovocab1 << i << ' ' << iid1[i] << ' ' << v1[iid1[i]] << '\n'; - for(unsigned int i=2;i<iid2.size();++i) - ovocab2 << i << ' ' << iid2[i] << ' ' << v2[iid2[i]] << '\n'; -} diff --git a/mgizapp/src/reports.cpp b/mgizapp/src/reports.cpp deleted file mode 100644 index 4d5873a..0000000 --- a/mgizapp/src/reports.cpp +++ /dev/null @@ -1,211 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include <strstream> -#include <time.h> -#include <set> -#include "defs.h" -#include "vocab.h" -#include "Perplexity.h" -#include "getSentence.h" -#include "TTables.h" -#include "Globals.h" -#include "Parameter.h" - -void printHelp(void) -{ - cerr << "Usage:\n\n" << Usage << '\n'; - cerr << "Options (these override parameters set in the config file):\n\n"; - cerr << "\t--v \t\t print verbose message, Warning this is not very descriptive and not systematic.\n"; - cerr << "\t--NODUMPS \t Do not write any files to disk (This will over write dump frequency options).\n"; - cerr << "\t--h[elp]\t\tprint this help\n"; - cerr << "\t--p\t\tUse pegging when generating alignments for Model3 training. (Default NO PEGGING)\n"; - cerr << "\t--st\t\tto use a fixed ditribution for the fertility parameters when tranfering from model 2 to model 3 (Default complicated estimation)\n"; - printGIZAPars(cout); -} - - -void generatePerplexityReport(const Perplexity& trainperp, - const Perplexity& testperp, - const Perplexity& trainVperp, - const Perplexity& testVperp, - ostream& of, int trainsize, int testsize, - bool) -{ - unsigned int i, m; - unsigned int m1 = max(trainperp.size(), testperp.size()); - unsigned int m2 = max(trainVperp.size(), testVperp.size()); - m = max(m1,m2); - of << "#trnsz\ttstsz\titer\tmodel\ttrn-pp\t\ttest-pp\t\ttrn-vit-pp\t\ttst-vit-pp\n"; - for (i = 0 ; i <m ; i++){ - of << trainsize << '\t' << testsize << '\t' << i<< '\t' << trainperp.modelid[i] << '\t'; - if (i < trainperp.perp.size()) - of << trainperp.perp[i] << "\t\t" ; - else - of << "N/A\t\t"; - if (i<testperp.perp.size()) - of << testperp.perp[i] << "\t\t" ; - else - of << "N/A\t\t"; - if (i < trainVperp.perp.size()) - of << trainVperp.perp[i] << "\t\t" ; - else - of << "N/A\t"; - if (i< testVperp.perp.size()) - of << testVperp.perp[i] << '\n' ; - else - of << "N/A\n"; - } -} - -void printSentencePair(Vector<WordIndex>& es, - Vector<WordIndex>& fs, - ostream& of) - - // just writes a sentece pair to the give output stream, one sentence pair line - // it writes token ids not actual tokens. -{ - WordIndex i, j, l, m; - l = es.size() - 1; - m = fs.size() - 1; - of << "Source sentence length : " << l << " , target : " << m << "\n"; - for (i = 1 ; i <= l ; i++) - of << es[i] << ' '; - of << "\n"; - for (j = 1 ; j <= m ; j++) - of << fs[j] << ' '; - of << "\n"; - -} - -extern short CompactAlignmentFormat; -void printAlignToFile(const Vector<WordIndex>& es, - const Vector<WordIndex>& fs, - const Vector<WordEntry>& evlist, - const Vector<WordEntry>& fvlist, - ostream& of2, - const Vector<WordIndex>& viterbi_alignment, - int pair_no, double alignment_score) - - // prints the given alignment to alignments file (given it stream pointer) - // in a format recognizable by the draw-alignment tool ... which is of the - // example (each line triple is one sentence pair): - // # sentence caption - // target_word_1 target_word_2 ..... target_word_m - // source_word_1 ({ x y z }) source_word_2 ({ }) .. source_word_n ({w}) - // where x, y, z, and w are positions of target words that each source word - // is connected to. - -{ - WordIndex l, m; - Vector<Vector<WordIndex> > translations(es.size()); // each english words has a vector - // of zero or more translations . - l = es.size() - 1; - m = fs.size() - 1; - if( CompactAlignmentFormat ) - { - for (WordIndex j = 1 ; j <= m ; j++) - if( viterbi_alignment[j] ) - of2 << viterbi_alignment[j]-1 << ' ' << j-1 << ' '; - of2 << '\n'; - } - else - { - of2 << "# Sentence pair (" << pair_no <<") source length " << l << " target length "<< m << - " alignment score : "<< alignment_score << '\n'; - for (WordIndex j = 1 ; j <= m ; j++){ - of2 << fvlist[fs[j]].word << " " ; - translations[viterbi_alignment[j]].push_back(j); - } - of2 << '\n'; - - for (WordIndex i = 0 ; i <= l ; i++){ - of2 << evlist[es[i]].word << " ({ " ; - for (WordIndex j = 0 ; j < translations[i].size() ; j++) - of2 << translations[i][j] << " " ; - of2 << "}) "; - } - of2 << '\n'; - } -} - - -void printOverlapReport(const tmodel<COUNT, PROB>& tTable, - sentenceHandler& testHandler, vcbList& trainEList, - vcbList& trainFList, vcbList& testEList, vcbList& testFList) -{ - set<pair<WordIndex, WordIndex> > testCoocur ; - sentPair s ; - /* string unseenCoocurFile = Prefix + ".tst.unseen.cooc" ; - ofstream of_unseenCoocur(unseenCoocurFile.c_str()); - - string seenCoocurFile = Prefix + ".tst.seen.cooc" ; - ofstream of_seenCoocur(seenCoocurFile.c_str()); - */ - testHandler.rewind(); - int seen_coocur = 0, unseen_coocur = 0, srcUnk = 0, trgUnk = 0 ; - while(testHandler.getNextSentence(s)){ - for (WordIndex i = 1 ; i < s.eSent.size() ; i++) - for (WordIndex j = 1 ; j < s.fSent.size() ; j++) - testCoocur.insert(pair<WordIndex, WordIndex> (s.eSent[i], s.fSent[j])) ; - } - set<pair<WordIndex, WordIndex> >::const_iterator i ; - for (i = testCoocur.begin() ; i != testCoocur.end() ; ++i){ - if (tTable.getProb((*i).first, (*i).second) > PROB_SMOOTH){ - seen_coocur ++ ; - // of_seenCoocur << (*i).first << ' ' << (*i).second << '\n'; - } - else { - unseen_coocur++; - // of_unseenCoocur << (*i).first << ' ' << (*i).second << '\n'; - } - } - - string trgUnkFile = Prefix + ".tst.trg.unk" ; - ofstream of_trgUnk(trgUnkFile.c_str()); - - for (WordIndex i = 0 ; i < testFList.getVocabList().size() && i < testFList.uniqTokens();i++) - if (testFList.getVocabList()[i].freq > 0 && trainFList.getVocabList()[i].freq <= 0){ - of_trgUnk << i << ' ' << testFList.getVocabList()[i].word << ' ' << testFList.getVocabList()[i].freq - << '\n'; - trgUnk++ ; - } - string srcUnkFile = Prefix + ".tst.src.unk" ; - ofstream of_srcUnk(srcUnkFile.c_str()); - - for (WordIndex j = 0 ; j < testEList.getVocabList().size() && j < testEList.uniqTokens();j++) - if (testEList.getVocabList()[j].freq > 0 && trainEList.getVocabList()[j].freq <= 0){ - srcUnk++ ; - of_srcUnk << j << ' ' << testEList.getVocabList()[j].word << ' ' << testEList.getVocabList()[j].freq - << '\n'; - } - string summaryFile = Prefix + ".tst.stats" ; - ofstream of_summary(summaryFile.c_str()); - of_summary << "\t\t STATISTICS ABOUT TEST CORPUS\n\n"; - of_summary << "source unique tokens: " << testEList.uniqTokens() << '\n'; - of_summary << "target unique tokens: " << testFList.uniqTokens() << '\n'; - of_summary << "unique unseen source tokens: " << srcUnk << '\n'; - of_summary << "unique unseen target tokens: " << trgUnk << '\n'; - of_summary << "cooccurrences not found in the final t table: " << unseen_coocur << '\n'; - of_summary << "cooccurrences found in the final t table: " << seen_coocur << '\n'; - -} - diff --git a/mgizapp/src/snt2cooc.cpp b/mgizapp/src/snt2cooc.cpp deleted file mode 100644 index 0eb2aaf..0000000 --- a/mgizapp/src/snt2cooc.cpp +++ /dev/null @@ -1,111 +0,0 @@ -#include <iostream> -#include <string> -#include <strstream> -#include <fstream> -#include <map> -#include <vector> -#include <set> -#include <stdio.h> -#include <stdlib.h> - -using namespace std; - -void readVoc(istream&in,map<string,string>&voc) -{ - string line,s1,s2; - voc["1"]="UNK"; - if( !in )cerr <<"Vocabulary does not exist.\n"; - while(getline(in,line)) - { - istrstream eingabe(line.c_str()); - if( !(eingabe>>s1>>s2)) - cerr << "ERROR in vocabulary '" << line << "'\n"; - voc[s1]=s2; - } -} - -int maxElems=0; -int main(int argc,char **argv) -{ - if( argc!=5&&argc!=6 ) - { - cerr << "Usage: " << argv[0] << " output vcb1 vcb2 snt12 \n"; - cerr << "Converts GIZA++ snt-format into plain text.\n"; - exit(1); - } - bool counts=0; - if( argc==6 ) - { - if(string(argv[5])!="-counts") - cerr << "ERROR: wrong option " << argv[6] << endl; - counts=1; - maxElems=10000000; - } - ifstream v1(argv[2]),v2(argv[3]),t(argv[4]); - ofstream ou(argv[1]); - map<string,string>voc1,voc2; - readVoc(v1,voc1); - readVoc(v2,voc2); - string line1,line2,line3; - vector<map<int,int> > vsi(voc1.size()+1000); - int nLine=0; - int totalElems=0; - while(getline(t,line1)&&getline(t,line2)&&getline(t,line3)) - { - istrstream eingabe1(line1.c_str()),eingabe2(line2.c_str()),eingabe3(line3.c_str()); - double count; - string word; - eingabe1>>count; - vector<int>l1,l2; - while(eingabe2>>word) - l1.push_back(atoi(word.c_str())); - while(eingabe3>>word) - l2.push_back(atoi(word.c_str())); - if( ((++nLine)%1000)==0 ) - cerr << "line " << nLine << '\n'; - totalElems-=vsi[0].size(); - for(unsigned int j=0;j<l2.size();++j) - vsi[0][l2[j]]++; - totalElems+=vsi[0].size(); - for(unsigned int i=0;i<l1.size();++i) - { - if( l1[i]>=int(vsi.size()) ) - { - cerr << "I have to resize: " << l1[i] << endl; - vsi.resize(l1[i]+1); - } - map<int,int>&theset=vsi[l1[i]]; - totalElems-=theset.size(); - for(unsigned int j=0;j<l2.size();++j) - theset[l2[j]]++; - totalElems+=theset.size(); - } - if( totalElems>maxElems&&maxElems ) - { - cerr << "INFO: print out " << totalElems << " entries.\n"; - for(unsigned int i=0;i<vsi.size();++i) - for(map<int,int>::const_iterator j=vsi[i].begin();j!=vsi[i].end();++j) - { - if(counts==1 ) - ou << j->second << " " << i << " " << j->first << '\n'; - else - ou << i << " " << j->first << '\n'; - } - totalElems=0; - vsi.clear(); - vsi.resize(voc1.size()+1000); - } - } - cerr << "END.\n"; - for(unsigned int i=0;i<vsi.size();++i) - for(map<int,int>::const_iterator j=vsi[i].begin();j!=vsi[i].end();++j) - { - if(counts==1 ) - ou << j->second << " " << i << " " << j->first << '\n'; - else - ou << i << " " << j->first << '\n'; - } - ou.flush(); - ou.close(); -} - diff --git a/mgizapp/src/snt2plain.cpp b/mgizapp/src/snt2plain.cpp deleted file mode 100644 index 23dacbe..0000000 --- a/mgizapp/src/snt2plain.cpp +++ /dev/null @@ -1,93 +0,0 @@ -#include <iostream> -#include <string> -#include <strstream> -#include <fstream> -#include <map> -#include <vector> -#include <stdio.h> -#include <stdlib.h> - - -using namespace std; - -void readVoc(istream&in,map<string,string>&voc) -{ - string line,s1,s2; - voc["1"]="UNK"; - if( !in )cerr <<"Vocabulary does not exist.\n"; - while(getline(in,line)) - { - istrstream eingabe(line.c_str()); - if( !(eingabe>>s1>>s2)) - cerr << "ERROR in vocabulary '" << line << "'\n"; - voc[s1]=s2; - } -} - -int main(int argc,char **argv) -{ - if( argc!=5&&argc!=6 ) - { - cerr << "Usage: " << argv[0] << " vcb1 vcb2 snt12 output_prefix [ -counts ]\n"; - cerr << "Converts GIZA++ snt-format into plain text.\n"; - exit(1); - } - bool counts=0; - if( argc==6 ) - { - if(string(argv[5])!="-counts") - cerr << "ERROR: wrong option " << argv[5] << endl; - counts=1; - } - ifstream v1(argv[1]),v2(argv[2]),t(argv[3]); - string prefix(argv[4]); - string outfil1=prefix+"1.txt"; - string outfil2=prefix+"2.txt"; - ofstream out1(outfil1.c_str()); - ofstream out2(outfil2.c_str()); - map<string,string>voc1,voc2; - readVoc(v1,voc1); - readVoc(v2,voc2); - int source=0,target=0; - string line1,line2,line3; - int printed=0; - while(getline(t,line1)&&getline(t,line2)&&getline(t,line3)) - { - istrstream eingabe1(line1.c_str()),eingabe2(line2.c_str()),eingabe3(line3.c_str()); - double count; - string word; - eingabe1>>count; - vector<string>l1,l2; - while(eingabe2>>word) - l1.push_back(word); - while(eingabe3>>word) - l2.push_back(word); - if( counts ) - cout << count << '\n'; - for(unsigned int p=0;p<l1.size();p++) - { - if(voc1.count(l1[p])==0) - { - if( printed++==0) - cerr << "ERROR: source vocabulary entry " << l1[p] << " unknown.\n"; - out1 << l1[p]<<' '; - } - else - out1 << voc1[l1[p]] << ' '; - source++; - } - for(unsigned int p=0;p<l2.size();p++) - { - if(voc2.count(l2[p])==0) - { - if( printed++ ==0) - cerr << "ERROR: target vocabulary entry " << l2[p] << " unknown.\n"; - out2 <<l2[p]<<' '; - } - out2 << voc2[l2[p]] << ' '; - target++; - } - out1<<'\n'; - out2<<'\n'; - } -} diff --git a/mgizapp/src/symal.cpp b/mgizapp/src/symal.cpp deleted file mode 100644 index 5767859..0000000 --- a/mgizapp/src/symal.cpp +++ /dev/null @@ -1,501 +0,0 @@ -// $Id: symal.cpp 1905 2008-10-16 21:14:38Z phkoehn $ - -#include <cassert> -#include <iomanip> -#include <iostream> -#include <fstream> -#include <sstream> -#include <string> -#include <list> -#include <vector> -#include <set> -#include <algorithm> -#include <cstring> -#include "cmd.h" - -using namespace std; - -#define MAX_WORD 1000 //maximum lengthsource/target strings -#define MAX_M 200 //maximum length of source strings -#define MAX_N 200 //maximum length of target strings - -#define UNION 1 -#define INTERSECT 2 -#define GROW 3 -#define SRCTOTGT 4 -#define TGTTOSRC 5 -#define BOOL_YES 1 -#define BOOL_NO 0 - -#define END_ENUM { (char*)0, 0 } - -static Enum_T AlignEnum [] = { -{ "union", UNION }, -{ "u", UNION }, -{ "intersect", INTERSECT}, -{ "i", INTERSECT}, -{ "grow", GROW }, -{ "g", GROW }, -{ "srctotgt", SRCTOTGT }, -{ "s2t", SRCTOTGT }, -{ "tgttosrc", TGTTOSRC }, -{ "t2s", TGTTOSRC }, - END_ENUM -}; - -static Enum_T BoolEnum [] = { - { "true", BOOL_YES }, - { "yes", BOOL_YES }, - { "y", BOOL_YES }, - { "false", BOOL_NO }, - { "no", BOOL_NO }, - { "n", BOOL_NO }, - END_ENUM -}; - - - -// global variables and constants - -int* fa; //counters of covered foreign positions -int* ea; //counters of covered english positions -int** A; //alignment matrix with information symmetric/direct/inverse alignments - -int verbose=0; - -//read an alignment pair from the input stream. - -int lc = 0; - -int getals(fstream& inp,int& m, int *a,int& n, int *b,ostream& out) -{ - char w[MAX_WORD], dummy[10]; - string tgtsent; - int i,j,freq; - if (inp >> freq){ - ++lc; - //target sentence - inp >> n; assert(n<MAX_N); - for (i=1;i<=n;i++){ - inp >> setw(MAX_WORD) >> w; - if (strlen(w)>=MAX_WORD-1) { - cerr << lc << ": target len=" << strlen(w) << " is not less than MAX_WORD-1=" - << MAX_WORD-1 << endl; - assert(strlen(w)<MAX_WORD-1); - } - tgtsent+=w; - tgtsent+=" "; - } - - inp >> dummy; //# separator - // inverse alignment - for (i=1;i<=n;i++) inp >> b[i]; - - //source sentence - inp >> m; assert(m<MAX_M); - for (j=1;j<=m;j++){ - inp >> setw(MAX_WORD) >> w; - if (strlen(w)>=MAX_WORD-1) { - cerr << lc << ": source len=" << strlen(w) << " is not less than MAX_WORD-1=" - << MAX_WORD-1 << endl; - assert(strlen(w)<MAX_WORD-1); - } - out << w << " "; - } - out << "{##} " << tgtsent << "{##} "; - - - inp >> dummy; //# separator - - // direct alignment - for (j=1;j<=m;j++) { - inp >> a[j]; - assert(0<=a[j] && a[j]<=n); - } - - //check inverse alignemnt - for (i=1;i<=n;i++) - assert(0<=b[i] && b[i]<=m); - - return 1; - - } - else - return 0; -}; - - -//compute union alignment -int prunionalignment(fstream& out,int m,int *a,int n,int* b){ - - ostringstream sout; - - for (int j=1;j<=m;j++) - if (a[j]) - sout << j-1 << "-" << a[j]-1 << " "; - - for (int i=1;i<=n;i++) - if (b[i] && a[b[i]]!=i) - sout << b[i]-1 << "-" << i-1 << " "; - - //fix the last " " - string str = sout.str(); - if (str.length() == 0) - str = "\n"; - else - str.replace(str.length()-1,1,"\n"); - - out << str; - out.flush(); - - return 1; -} - - -//Compute intersection alignment - -int printersect(fstream& out,int m,int *a,int n,int* b){ - - ostringstream sout; - - for (int j=1;j<=m;j++) - if (a[j] && b[a[j]]==j) - sout << j-1 << "-" << a[j]-1 << " "; - - //fix the last " " - string str = sout.str(); - if (str.length() == 0) - str = "\n"; - else - str.replace(str.length()-1,1,"\n"); - - out << str; - out.flush(); - - return 1; -} - -//Compute target-to-source alignment - -int printtgttosrc(fstream& out,int m,int *a,int n,int* b){ - - ostringstream sout; - - for (int i=1;i<=n;i++) - if (b[i]) - sout << b[i]-1 << "-" << i-1 << " "; - - //fix the last " " - string str = sout.str(); - if (str.length() == 0) - str = "\n"; - else - str.replace(str.length()-1,1,"\n"); - - out << str; - out.flush(); - - return 1; -} - -//Compute source-to-target alignment - -int printsrctotgt(fstream& out,int m,int *a,int n,int* b){ - - ostringstream sout; - - for (int j=1;j<=m;j++) - if (a[j]) - sout << j-1 << "-" << a[j]-1 << " "; - - //fix the last " " - string str = sout.str(); - if (str.length() == 0) - str = "\n"; - else - str.replace(str.length()-1,1,"\n"); - - out << str; - out.flush(); - - return 1; -} - -//Compute Grow Diagonal Alignment -//Nice property: you will never introduce more points -//than the unionalignment alignemt. Hence, you will always be able -//to represent the grow alignment as the unionalignment of a -//directed and inverted alignment - -int printgrow(fstream& out,int m,int *a,int n,int* b, bool diagonal=false,bool final=false,bool bothuncovered=false){ - - ostringstream sout; - - vector <pair <int,int> > neighbors; //neighbors - - pair <int,int> entry; - - neighbors.push_back(make_pair(-1,-0)); - neighbors.push_back(make_pair(0,-1)); - neighbors.push_back(make_pair(1,0)); - neighbors.push_back(make_pair(0,1)); - - - if (diagonal){ - neighbors.push_back(make_pair(-1,-1)); - neighbors.push_back(make_pair(-1,1)); - neighbors.push_back(make_pair(1,-1)); - neighbors.push_back(make_pair(1,1)); - } - - - int i,j,o; - - - //covered foreign and english positions - - memset(fa,0,(m+1)*sizeof(int)); - memset(ea,0,(n+1)*sizeof(int)); - - //matrix to quickly check if one point is in the symmetric - //alignment (value=2), direct alignment (=1) and inverse alignment - - for (int i=1;i<=n;i++) memset(A[i],0,(m+1)*sizeof(int)); - - set <pair <int,int> > currentpoints; //symmetric alignment - set <pair <int,int> > unionalignment; //union alignment - - pair <int,int> point; //variable to store points - set<pair <int,int> >::const_iterator k; //iterator over sets - - //fill in the alignments - for (j=1;j<=m;j++){ - if (a[j]){ - unionalignment.insert(make_pair(a[j],j)); - if (b[a[j]]==j){ - fa[j]=1;ea[a[j]]=1; - A[a[j]][j]=2; - currentpoints.insert(make_pair(a[j],j)); - } - else - A[a[j]][j]=-1; - } - } - - for (i=1;i<=n;i++) - if (b[i] && a[b[i]]!=i){ //not intersection - unionalignment.insert(make_pair(i,b[i])); - A[i][b[i]]=1; - } - - - int added=1; - - while (added){ - added=0; - ///scan the current alignment - for (k=currentpoints.begin();k!=currentpoints.end();k++){ - //cout << "{"<< (k->second)-1 << "-" << (k->first)-1 << "}"; - for (o=0;o<neighbors.size();o++){ - //cout << "go over check all neighbors\n"; - point.first=k->first+neighbors[o].first; - point.second=k->second+neighbors[o].second; - //cout << point.second-1 << " " << point.first-1 << "\n"; - //check if neighbor is inside 'matrix' - if (point.first>0 && point.first <=n && point.second>0 && point.second<=m) - //check if neighbor is in the unionalignment alignment - if (b[point.first]==point.second || a[point.second]==point.first){ - //cout << "In unionalignment ";cout.flush(); - //check if it connects at least one uncovered word - if (!(ea[point.first] && fa[point.second])) - { - //insert point in currentpoints! - currentpoints.insert(point); - A[point.first][point.second]=2; - ea[point.first]=1; fa[point.second]=1; - added=1; - //cout << "added grow: " << point.second-1 << "-" << point.first-1 << "\n";cout.flush(); - } - } - } - } - } - - if (final){ - for (k=unionalignment.begin();k!=unionalignment.end();k++) - if (A[k->first][k->second]==1) - { - point.first=k->first;point.second=k->second; - //one of the two words is not covered yet - //cout << "{" << point.second-1 << "-" << point.first-1 << "} "; - if ((bothuncovered && !ea[point.first] && !fa[point.second]) || - (!bothuncovered && !(ea[point.first] && fa[point.second]))) - { - //add it! - currentpoints.insert(point); - A[point.first][point.second]=2; - //keep track of new covered positions - ea[point.first]=1;fa[point.second]=1; - - //added=1; - //cout << "added final: " << point.second-1 << "-" << point.first-1 << "\n"; - } - } - - for (k=unionalignment.begin();k!=unionalignment.end();k++) - if (A[k->first][k->second]==-1) - { - point.first=k->first;point.second=k->second; - //one of the two words is not covered yet - //cout << "{" << point.second-1 << "-" << point.first-1 << "} "; - if ((bothuncovered && !ea[point.first] && !fa[point.second]) || - (!bothuncovered && !(ea[point.first] && fa[point.second]))) - { - //add it! - currentpoints.insert(point); - A[point.first][point.second]=2; - //keep track of new covered positions - ea[point.first]=1;fa[point.second]=1; - - //added=1; - //cout << "added final: " << point.second-1 << "-" << point.first-1 << "\n"; - } - } - } - - - for (k=currentpoints.begin();k!=currentpoints.end();k++) - sout << k->second-1 << "-" << k->first-1 << " "; - - - //fix the last " " - string str = sout.str(); - if (str.length() == 0) - str = "\n"; - else - str.replace(str.length()-1,1,"\n"); - - out << str; - out.flush(); - return 1; - - return 1; -} - - - -//Main file here - - -int main(int argc, char** argv){ - -int alignment=0; -char* input="/dev/stdin"; -char* output="/dev/stdout"; -int diagonal=false; -int final=false; -int bothuncovered=false; - - - DeclareParams("a", CMDENUMTYPE, &alignment, AlignEnum, - "alignment", CMDENUMTYPE, &alignment, AlignEnum, - "d", CMDENUMTYPE, &diagonal, BoolEnum, - "diagonal", CMDENUMTYPE, &diagonal, BoolEnum, - "f", CMDENUMTYPE, &final, BoolEnum, - "final", CMDENUMTYPE, &final, BoolEnum, - "b", CMDENUMTYPE, &bothuncovered, BoolEnum, - "both", CMDENUMTYPE, &bothuncovered, BoolEnum, - "i", CMDSTRINGTYPE, &input, - "o", CMDSTRINGTYPE, &output, - "v", CMDENUMTYPE, &verbose, BoolEnum, - "verbose", CMDENUMTYPE, &verbose, BoolEnum, - - (char *)NULL); - - GetParams(&argc, &argv, (char*) NULL); - - if (alignment==0){ - cerr << "usage: symal [-i=<inputfile>] [-o=<outputfile>] -a=[u|i|g] -d=[yes|no] -b=[yes|no] -f=[yes|no] \n" - << "Input file or std must be in .bal format (see script giza2bal.pl).\n"; - - exit(1); - - } - - fstream inp(input,ios::in); - fstream out(output,ios::out); - - if (!inp.is_open()){ - cerr << "cannot open " << input << "\n"; - exit(1); - } - - if (!out.is_open()){ - cerr << "cannot open " << output << "\n"; - exit(1); - } - - - int a[MAX_M],b[MAX_N],m,n; - fa=new int[MAX_M+1]; - ea=new int[MAX_N+1]; - - - int sents = 0; - A=new int *[MAX_N+1]; - for (int i=1;i<=MAX_N;i++) A[i]=new int[MAX_M+1]; - - switch (alignment){ - case UNION: - cerr << "symal: computing union alignment\n"; - while(getals(inp,m,a,n,b,out)) { - prunionalignment(out,m,a,n,b); - sents++; - } - cerr << "Sents: " << sents << endl; - break; - case INTERSECT: - cerr << "symal: computing intersect alignment\n"; - while(getals(inp,m,a,n,b,out)) { - printersect(out,m,a,n,b); - sents++; - } - cerr << "Sents: " << sents << endl; - break; - case GROW: - cerr << "symal: computing grow alignment: diagonal (" - << diagonal << ") final ("<< final << ")" - << "both-uncovered (" << bothuncovered <<")\n"; - - while(getals(inp,m,a,n,b,out)) - printgrow(out,m,a,n,b,diagonal,final,bothuncovered); - - break; - case TGTTOSRC: - cerr << "symal: computing target-to-source alignment\n"; - - while(getals(inp,m,a,n,b,out)){ - printtgttosrc(out,m,a,n,b); - sents++; - } - cerr << "Sents: " << sents << endl; - break; - case SRCTOTGT: - cerr << "symal: computing source-to-target alignment\n"; - - while(getals(inp,m,a,n,b,out)){ - printsrctotgt(out,m,a,n,b); - sents++; - } - cerr << "Sents: " << sents << endl; - break; - default: - exit(1); - } - - delete [] fa; delete [] ea; - for (int i=1;i<=MAX_N;i++) delete [] A[i]; - delete [] A; - - exit(0); -} diff --git a/mgizapp/src/syncObj.h b/mgizapp/src/syncObj.h deleted file mode 100644 index 1c1b31d..0000000 --- a/mgizapp/src/syncObj.h +++ /dev/null @@ -1,48 +0,0 @@ -#ifndef __SYNC_OBJ_H__ -#define __SYNC_OBJ_H__ - -#include <stdio.h> -#include <stdlib.h> -#include <pthread.h> -#include <iostream> - -class Mutex{ - private: - mutable pthread_mutex_t mutex; - - public: - Mutex(){pthread_mutex_init(&mutex,NULL);}; - ~Mutex(){pthread_mutex_destroy(&mutex);} - - public: - inline void lock() const{pthread_mutex_lock(&mutex);}; - inline void unlock() const{pthread_mutex_unlock(&mutex);}; -}; - -class SyncDouble{ -private: - double i; - Mutex m; -public: - SyncDouble(double d) {i=d;}; - SyncDouble() {i=0;}; - //inline operator const double()const{return i;} - inline bool operator ==(const double& r) const{return i == r;}; - inline void operator +=(const double& r) {m.lock();i += r;m.unlock();}; - inline void operator +=(const SyncDouble& r) {m.lock();i += r.i;m.unlock();}; - inline void operator -=(const double& r) {m.lock();i -= r;m.unlock();}; - inline void operator *=(const double& r) {m.lock();i *= r;m.unlock();}; - inline void operator /=(const double& r) {m.lock();i /= r;m.unlock();}; - inline double operator =(const double& r) {m.lock();i = r;m.unlock();return i;}; - inline double operator =(const int& r) {m.lock();i = r;m.unlock();return i;}; - inline void operator ++() {m.lock();i++;m.unlock();}; - inline double operator +(const SyncDouble& r){return r.i+i;}; - inline double operator /(const SyncDouble& r){return i/r.i;}; - //inline void operator --() {m.lock();i--;m.unlock();}; - //inline const istream& operator<<(const istream& p)const{p<<i;return p;}; - friend ostream& operator<<( ostream& p,const SyncDouble& d); -}; - -inline ostream& operator<<( ostream& p, const SyncDouble& d){p<<d.i;return p;}; - -#endif diff --git a/mgizapp/src/transpair_model1.h b/mgizapp/src/transpair_model1.h deleted file mode 100644 index 00d7875..0000000 --- a/mgizapp/src/transpair_model1.h +++ /dev/null @@ -1,108 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef transpair_model1_h_fjo_defined -#define transpair_model1_h_fjo_defined -//#include "logprob.h" -#include "defs.h" -#include "Array2.h" -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include <math.h> -#include <algorithm> -#include "Array2.h" -#include "mystl.h" - -class transpair_model1 -{ - public: - bool verboseTP; - Array2<PROB, Vector<PROB> > t; - WordIndex l, m; - Vector<WordIndex> E,F; - void setMode(bool) - {} - transpair_model1(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, const tmodel<COUNT, PROB>&tTable) - : verboseTP(0),t(es.size(), fs.size()),l(es.size()-1), m(fs.size()-1),E(es),F(fs) - { - WordIndex l=es.size()-1,m=fs.size()-1; - for(WordIndex i=0;i<=l;i++) - for(WordIndex j=1;j<=m;j++) - { - t(i, j)=tTable.getProb(es[i], fs[j]); - if( !(t(i,j)>=PROB_SMOOTH) ) - cerr << "ERROR IN PROBABILITY: " << t(i,j) << " " << PROB_SMOOTH << endl; - } - } - /* transpair_model1(const Vector<WordIndex>&es, const Vector<WordIndex>&fs) - : verboseTP(0),t(es.size(), fs.size()),l(es.size()-1), m(fs.size()-1),E(es),F(fs) - { - WordIndex l=es.size()-1,m=fs.size()-1; - for(WordIndex i=0;i<=l;i++) - for(WordIndex j=1;j<=m;j++) - { - const string&estr=globeTrainVcbList->getVocabList()[es[i]].word; - const string&fstr=globfTrainVcbList->getVocabList()[fs[j]].word; - if( lev(estr,fstr)==0 ) - t(i,j)=1.0; - else - t(i,j)=1/100.0; - massert( t(i,j)>=PROB_SMOOTH ); - } -}*/ - WordIndex get_l()const - {return l;} - WordIndex get_m()const - {return m;} - const PROB&get_t(WordIndex i, WordIndex j)const - {massert( t(i,j)>=PROB_SMOOTH); - return t(i, j);} - WordIndex get_es(int i)const {return E[i];} - WordIndex get_fs(int j)const {return F[j];} - bool greedyHillClimbing()const - {return 0;} - void computeScores(const alignment&,vector<double>&)const - {} - LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double=-1.0)const - { - int old_i=a(j); - return (t(new_i, j) /t(old_i, j)); - } - LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double=-1.0)const - { - WordIndex i1=a(j1), i2=a(j2); - return (t(i2, j1)/t(i1, j1))*(t(i1, j2)/t(i2, j2)); - } - LogProb prob_of_target_and_alignment_given_source(const alignment&al)const - { - LogProb prob=1.0; - int lp1=al.get_l()+1; - for(unsigned int j=1;j<=al.get_m();++j) - prob*=t(al(j),j)/lp1; - return prob; - } -}; -#endif diff --git a/mgizapp/src/transpair_model2.h b/mgizapp/src/transpair_model2.h deleted file mode 100644 index f3d53e3..0000000 --- a/mgizapp/src/transpair_model2.h +++ /dev/null @@ -1,52 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef transpair_model2_defined_h -#define transpair_model2_defined_h - -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include <math.h> -#include "transpair_model1.h" - - -class transpair_model2 : public transpair_model1 -{ - protected: - Array2<PROB, Vector<PROB> > a; - public: - transpair_model2(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, const tmodel<COUNT, PROB>&tTable, - const amodel<PROB>&aTable) - : transpair_model1(es,fs,tTable),a(es.size(),fs.size()) - { - for(WordIndex i=0;i<=l;i++) - for(WordIndex j=1;j<=m;j++) - a(i, j)=aTable.getValue(i, j, l, m); - } - const PROB&get_a(WordIndex i, WordIndex j)const - {return a(i, j);} -}; -#endif diff --git a/mgizapp/src/transpair_model3.cpp b/mgizapp/src/transpair_model3.cpp deleted file mode 100644 index 0ab4c54..0000000 --- a/mgizapp/src/transpair_model3.cpp +++ /dev/null @@ -1,197 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/*-- -transpair_model3: representation of a translation pair for model3 training -allowing for fast access (esp. to t table). - -Franz Josef Och (30/07/99) ---*/ -#include "transpair_model3.h" -#include <algorithm> - -transpair_model3::transpair_model3(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable, amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable, double _p1, double _p0, void*) - : transpair_model2(es,fs,tTable,aTable),d(es.size(), fs.size()),n(es.size(), MAX_FERTILITY+1), p0(_p0), p1(_p1) -{ - WordIndex l=es.size()-1,m=fs.size()-1; - for(WordIndex i=0;i<=l;i++) - { - for(WordIndex j=1;j<=m;j++) - d(i, j)=dTable.getValue(j, i, l, m); - if( i>0 ) - { - for(WordIndex f=0;f<MAX_FERTILITY;f++) - n(i, f)=nTable.getValue(es[i], f); - n(i,MAX_FERTILITY)=PROB_SMOOTH; - } - } -} - -LogProb transpair_model3::scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j, double,bool forModel3)const -{ - LogProb change; - const WordIndex old_i=a(j); - WordIndex f0=a.fert(0); - if (old_i == new_i) - change=1.0; - else if (old_i == 0) - change=((double)p0*p0/p1) * - (( (DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):f0)*(m-f0+1.0)) / ((m-2*f0+1)*(m-2*f0+2.0))) * - ((PROB)(forModel3?(a.fert(new_i)+1.0):1.0)) * - (get_fertility(new_i, a.fert(new_i)+1) / get_fertility(new_i, a.fert(new_i)))* - (t(new_i, j)/t(old_i, j))* - (forModel3?d(new_i, j):1.0); - else if (new_i == 0) - change=(double(p1) / (p0*p0)) * - (double((m-2*f0)*(m-2*f0-1))/( (DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):(1+f0))*(m-f0))) * - (forModel3?(1.0/a.fert(old_i)):1.0) * - (get_fertility(old_i, a.fert(old_i)-1) /get_fertility(old_i, a.fert(old_i)))* - (t(new_i, j) /t(old_i, j)) * - (forModel3?(1.0 / d(old_i, j)):1.0); - else - change=(forModel3?((a.fert(new_i)+1.0)/a.fert(old_i)):1.0) * - (get_fertility(old_i,a.fert(old_i)-1) / get_fertility(old_i,a.fert(old_i))) * - (get_fertility(new_i,a.fert(new_i)+1) /get_fertility(new_i,a.fert(new_i))) * - (t(new_i,j)/t(old_i,j)) * - (forModel3?(d(new_i,j)/d(old_i,j)):1.0); - return change; -} - -LogProb transpair_model3::scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2, double,bool forModel3)const -{ - PROB score=1; - assert(j1<j2); - WordIndex i1=a(j1), i2=a(j2); - if (i1!=i2) - { - score=(t(i2, j1)/t(i1, j1))*(t(i1, j2)/t(i2, j2)); - if( forModel3 ) - { - if (i1) - score *= d(i1, j2)/d(i1, j1); - if (i2) - score *= d(i2, j1)/d(i2, j2); - } - } - return score; -} - -ostream&operator<<(ostream&out, const transpair_model3&m) -{ - for(WordIndex i=0;i<=m.get_l();i++) - { - out << "EF-I:"<<i<<' '; - for(WordIndex j=1;j<=m.get_m();j++) - out << "("<<m.t(i,j)<<","<<m.d(i,j)<<")"; - for(WordIndex j=1;j<MAX_FERTILITY;j++) - if( i>0 ) - out << "(fert:"<<m.get_fertility(i,j)<<")"; - out << '\n'; - } - out << "T:" << m.t << "D:" << m.d << "A:" << m.a << "N:" << m.n << m.p0 << m.p1 << '\n'; - return out; -} - -LogProb transpair_model3::_scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double)const -{ - alignment b(a); - b.set(j, new_i); - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} - -LogProb transpair_model3::_scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue)const -{ - alignment b(a); - b.set(j1, a(j2)); - b.set(j2, a(j1)); - LogProb a_prob=thisValue; - if( a_prob<0.0 ) - a_prob=prob_of_target_and_alignment_given_source(a); - massert(a_prob==prob_of_target_and_alignment_given_source(a)); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} - -LogProb transpair_model3::prob_of_target_and_alignment_given_source(const alignment&al,bool verb)const -{ - LogProb total = 1.0 ; - static const LogProb zero = 1E-299 ; - total *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - if( verb) cerr << "IBM-3: (1-p1)^(m-2 f0)*p1^f0: " << total << '\n'; - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total *= double(m - al.fert(0) - i + 1) / (double(DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):i)) ; - if( verb) cerr << "IBM-3: +NULL:binomial+distortion " << total << '\n'; - for (WordIndex i = 1 ; i <= l ; i++) - { - total *= get_fertility(i, al.fert(i)) * (LogProb) factorial(al.fert(i)); - if( verb) cerr << "IBM-3: fertility of " << i << " with factorial " << get_fertility(i, al.fert(i)) * (LogProb) factorial(al.fert(i)) << " -> " << total << '\n'; - } - for (WordIndex j = 1 ; j <= m ; j++) - { - total*= get_t(al(j), j) ; - massert( get_t(al(j), j)>=PROB_SMOOTH ); - if( verb) cerr << "IBM-3: t of " << j << " " << al(j) << ": " << get_t(al(j), j) << " -> " << total << '\n'; - if (al(j)) - { - total *= get_d(al(j), j); - if( verb) cerr << "IBM-3: d of " << j << ": " << get_d(al(j), j) << " -> " << total << '\n'; - } - } - return total?total:zero; -} - - -void transpair_model3::computeScores(const alignment&al,vector<double>&d)const -{ - LogProb total1 = 1.0,total2=1.0,total3=1.0,total4=1.0 ; - total1 *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total1 *= double(m - al.fert(0) - i + 1) / (double(DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):i)) ; - for (WordIndex i = 1 ; i <= l ; i++) - { - total2 *= get_fertility(i, al.fert(i)) * (LogProb) factorial(al.fert(i)); - } - for (WordIndex j = 1 ; j <= m ; j++) - { - total3*= get_t(al(j), j) ; - massert( get_t(al(j), j)>=PROB_SMOOTH ); - if (al(j)) - { - total4 *= get_d(al(j), j); - } - } - d.push_back(total1);//5 - d.push_back(total2);//6 - d.push_back(total3);//7 - d.push_back(total4);//8 -} diff --git a/mgizapp/src/transpair_model3.h b/mgizapp/src/transpair_model3.h deleted file mode 100644 index 5fa43db..0000000 --- a/mgizapp/src/transpair_model3.h +++ /dev/null @@ -1,84 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -/*-- -transpair_model3: representation of a translation pair for model3 training -allowing for fast access (esp. to t table). - -Franz Josef Och (30/07/99) ---*/ -#ifndef transpair_model3_h_fjo_defined -#define transpair_model3_h_fjo_defined -#include "Array2.h" -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include <math.h> -#include "transpair_model2.h" - -extern double factorial(int n); -inline bool doubleEqual(const double a, const double b) -{ - if( a==b ) - return 1.0; - bool bl=fabs(1.0-a/b)<1e-10; - if( bl ) - return 1; - else - { - cerr << "DIFFERENT: " << a << " " << b << " " << a/b << " " << 1.0-a/b << endl; - return 0; - } -} - - -class transpair_model3 : public transpair_model2 -{ - protected: - Array2<PROB, Vector<PROB> > d, n; - PROB p0, p1; - public: - typedef transpair_model3 simpler_transpair_model; - transpair_model3(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable, - amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable, - double _p1, double _p0, void*x=0); - const PROB&get_d(WordIndex i, WordIndex j)const - {return d(i, j);} - const PROB&get_a(WordIndex i, WordIndex j)const - {return a(i, j);} - const PROB&get_fertility(WordIndex i, WordIndex f)const - {massert(i>0);return (f>=MAX_FERTILITY)?n(i, MAX_FERTILITY):n(i, f);} - int modelnr()const{return 3;} - LogProb scoreOfAlignmentForChange(const alignment&)const - {return -1.0; } - LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j, double thisValue=-1.0,bool withDistortions=1)const; - LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2, double thisValue=-1.0,bool withDistortions=1)const ; - LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const; - LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const; - friend ostream&operator<<(ostream&out, const transpair_model3&m); - LogProb prob_of_target_and_alignment_given_source(const alignment&al,bool verb=0)const; - bool isSubOptimal()const{return 1;} - void computeScores(const alignment&al,vector<double>&d)const; -}; -#endif diff --git a/mgizapp/src/transpair_model4.cpp b/mgizapp/src/transpair_model4.cpp deleted file mode 100644 index ebc2666..0000000 --- a/mgizapp/src/transpair_model4.cpp +++ /dev/null @@ -1,179 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "transpair_model4.h" -#include "Parameter.h" - -GLOBAL_PARAMETER(float,d4modelsmooth_factor,"model4SmoothFactor","smooting parameter for alignment probabilities in Model 4",PARLEV_SMOOTH,0.2); - -LogProb transpair_model4::_scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double)const -{ - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - alignment b(a); - b.set(j, new_i); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} -LogProb transpair_model4::_scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double)const -{ - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - alignment b(a); - b.set(j1, a(j2)); - b.set(j2, a(j1)); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} -//increasing efficiency: no copy of alignment (calc. everything incrementally) -LogProb transpair_model4::scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue)const -{ - if( a(j)==new_i ) - return 1.0; - LogProb change=transpair_model3::scoreOfMove(a,new_i,j,-1.0,0); - LogProb a_prob=thisValue; - if(a_prob<0.0 ) - a_prob=prob_of_target_and_alignment_given_source(a,2); - massert(a_prob==prob_of_target_and_alignment_given_source(a,2)); - WordIndex old_i=a(j); - //alignment b(a); - const_cast<alignment&>(a).set(j,new_i); - LogProb b_prob=prob_of_target_and_alignment_given_source(a,2); - const_cast<alignment&>(a).set(j,old_i); - change*=b_prob/a_prob; - return change; -} -//increasing efficiency: no copy of alignment (calc. everything incrementally) -LogProb transpair_model4::scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue)const -{ - WordIndex aj1=a(j1),aj2=a(j2); - if( aj1==aj2 ) - return 1.0; - LogProb change=transpair_model3::scoreOfSwap(a,j1,j2,-1.0,0); - LogProb a_prob=thisValue; - if( a_prob<0.0 ) - a_prob=prob_of_target_and_alignment_given_source(a,2); - massert(a_prob==prob_of_target_and_alignment_given_source(a,2)); - - //alignment b(a); - const_cast<alignment&>(a).set(j1,aj2); - const_cast<alignment&>(a).set(j2,aj1); - LogProb b_prob=prob_of_target_and_alignment_given_source(a,2); - const_cast<alignment&>(a).set(j1,aj1); - const_cast<alignment&>(a).set(j2,aj2); - - if( verboseTP ) - cerr << "scoreOfSwap: " << change << ' ' << a_prob << ' ' << b_prob << ' ' << endl; - change*=b_prob/a_prob; - if( verboseTP ) - cerr << "resulting: " << change << " should be " << _scoreOfSwap(a,j1,j2) << endl; - return change; -} - -LogProb transpair_model4::prob_of_target_and_alignment_given_source_1(const alignment&al,bool verb)const -{ - LogProb total = 1.0 ; - total *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - if( verb) cerr << "IBM-4: (1-p1)^(m-2 f0)*p1^f0: " << total << endl; - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total *= double(m - al.fert(0) - i + 1) / (double(DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):i)) ; - if( verb) cerr << "IBM-4: +NULL:binomial+distortion " << total << endl; - for (WordIndex i = 1 ; i <= l ; i++) - { - total *= get_fertility(i, al.fert(i));// * (LogProb) factorial(al.fert(i)); - if( verb) cerr << "IBM-4: fertility of " << i << " " << get_fertility(i, al.fert(i)) << " -> " << total << endl; - } - for (WordIndex j = 1 ; j <= m ; j++) - { - total*= get_t(al(j), j) ; - if( verb) cerr << "IBM-4: t of j:" << j << " i:" << al(j) << ": " << get_t(al(j), j) << " -> " << total << endl; - } - return total; -} - -LogProb transpair_model4::prob_of_target_and_alignment_given_source(const alignment&al, short distortionType,bool verb)const -{ - LogProb total = 1.0 ; - static const LogProb almostZero = 1E-299 ; - if( distortionType&1 ) - { - total *= prob_of_target_and_alignment_given_source_1(al,verb); - } - if( distortionType&2 ) - { - for(WordIndex j=1;j<=m;j++) - if( al(j) ) - if( al.get_head(al(j))==j) - { - int ep=al.prev_cept(al(j)); - float x2=probFirst[ep](j,al.get_center(ep)); - massert(x2<=1.0); - total*=x2; - if( verb) cerr << "IBM-4: d=1 of " << j << ": " << x2 << " -> " << total << endl; - } - else - { - float x2=probSecond(j,al.prev_in_cept(j)); - massert(x2<=1.0); - total*=x2; - if( verb) cerr << "IBM-4: d>1 of " << j << ": " << x2 << " -> " << total << endl; - } - } - return total?total:almostZero; -} - -void transpair_model4::computeScores(const alignment&al,vector<double>&d)const -{ - LogProb total1 = 1.0,total2=1.0,total3=1.0,total4=1.0 ; - total1 *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total1 *= double(m - al.fert(0) - i + 1) / (double(DeficientDistortionForEmptyWord?(max(2,int(m))/DeficientDistortionForEmptyWord):i)) ; - for (WordIndex i = 1 ; i <= l ; i++) - total2 *= get_fertility(i, al.fert(i));// * (LogProb) factorial(al.fert(i)); - for (WordIndex j = 1 ; j <= m ; j++) - total3*= get_t(al(j), j) ; - for(WordIndex j=1;j<=m;j++) - if( al(j) ) - if( al.get_head(al(j))==j) - { - int ep=al.prev_cept(al(j)); - float x2=probFirst[ep](j,al.get_center(ep)); - total4*=x2; - } - else - { - float x2=probSecond(j,al.prev_in_cept(j)); - total4*=x2; - } - d.push_back(total1);//9 - d.push_back(total2);//10 - d.push_back(total3);//11 - d.push_back(total4);//12 -} diff --git a/mgizapp/src/transpair_model4.h b/mgizapp/src/transpair_model4.h deleted file mode 100644 index c8e1853..0000000 --- a/mgizapp/src/transpair_model4.h +++ /dev/null @@ -1,79 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef transpair_model4_h_fjo_defined -#define transpair_model4_h_fjo_defined -#include "Array2.h" -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include "D4Tables.h" -#include "transpair_model3.h" - -extern double factorial(int n); - -class transpair_model4 : public transpair_model3 -{ - private: - d4model&d4m; - Array2<double> probSecond; - Vector<Array2<double> > probFirst; - public: - typedef transpair_model3 simpler_transpair_model; - transpair_model4(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable, amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable, double _p1, double _p0,d4model*_d4m) - : transpair_model3(es, fs, tTable, aTable, dTable, nTable, _p1, _p0), - d4m(*_d4m),probSecond(m+1,m+1,0.0),probFirst(l+1) - { - for(unsigned int j1=1;j1<=m;++j1) - for(unsigned int j2=1;j2<j1;++j2) - { - probSecond(j1,j2)=d4m.getProb_bigger(j1,j2,0,d4m.fwordclasses->getClass(get_fs(j1)),l,m); - } - for(unsigned int i=0;i<=l;++i) - { - Array2<double> &pf=probFirst[i]=Array2<double>(m+1,m+1,0.0); - for(unsigned int j1=1;j1<=m;++j1) - { - map<m4_key,d4model::Vpff,compare1 >::const_iterator ci=d4m.getProb_first_iterator(d4m.ewordclasses->getClass(get_es(i)),d4m.fwordclasses->getClass(get_fs(j1)),l,m); - for(unsigned int j2=0;j2<=m;++j2) - { - pf(j1,j2)=d4m.getProb_first_withiterator(j1,j2,m,ci); - massert(pf(j1,j2)==d4m.getProb_first(j1,j2,d4m.ewordclasses->getClass(get_es(i)),d4m.fwordclasses->getClass(get_fs(j1)),l,m)); - } - } - } - } - LogProb prob_of_target_and_alignment_given_source_1(const alignment&al,bool verb)const; - LogProb scoreOfAlignmentForChange(const alignment&a)const - {return prob_of_target_and_alignment_given_source(a,2); } - LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const; - LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ; - LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const; - LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ; - int modelnr()const{return 4;} - LogProb prob_of_target_and_alignment_given_source(const alignment&al, short distortionType=3,bool verb=0)const; - void computeScores(const alignment&al,vector<double>&d)const; -}; -#endif diff --git a/mgizapp/src/transpair_model5.cpp b/mgizapp/src/transpair_model5.cpp deleted file mode 100644 index c621206..0000000 --- a/mgizapp/src/transpair_model5.cpp +++ /dev/null @@ -1,243 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "transpair_model5.h" -#include "Parameter.h" - -int m5scorefound=0,m5scorenotfound=0; - -GLOBAL_PARAMETER(float,d5modelsmooth_factor,"model5SmoothFactor","smooting parameter for distortion probabilities in Model 5 (linear interpolation with constant)",PARLEV_SMOOTH,0.1); -float d5modelsmooth_countoffset=0.0; - -LogProb transpair_model5::_scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double)const -{ - if( doModel4Scoring ) - return transpair_model4::_scoreOfMove(a,new_i,j); - alignment b(a); - b.set(j, new_i); - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} -LogProb transpair_model5::_scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue)const -{ - if( doModel4Scoring ) - return transpair_model4::_scoreOfSwap(a,j1,j2,thisValue); - alignment b(a); - b.set(j1, a(j2)); - b.set(j2, a(j1)); - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - assert(a_prob); - assert(b_prob); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; -} - -//increasing efficiency: no copy of alignment (calc. everything incrementally) -LogProb transpair_model5::scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue)const -{ - if( doModel4Scoring ) - return transpair_model4::scoreOfMove(a,new_i,j,thisValue); - alignment b(a); - b.set(j,new_i); - - LogProb change; - const WordIndex old_i=a(j); - WordIndex f0=a.fert(0); - if (old_i == new_i) - change=1.0; - else if (old_i == 0) - change=((double)p0*p0/p1) * - ((f0*(m-f0+1.0)) / ((m-2*f0+1)*(m-2*f0+2.0))) * - ((PROB)(1.0)) * - (get_fertility(new_i, a.fert(new_i)+1) / get_fertility(new_i, a.fert(new_i)))* - (t(new_i, j)/t(old_i, j))* - 1.0; - else if (new_i == 0) - change=(double(p1) / (p0*p0)) * - (double((m-2*f0)*(m-2*f0-1))/((1+f0)*(m-f0))) * - (1.0) * - (get_fertility(old_i, a.fert(old_i)-1) /get_fertility(old_i, a.fert(old_i)))* - (t(new_i, j) /t(old_i, j)) * - (1.0); - else - change=(1.0) * - (get_fertility(old_i,a.fert(old_i)-1) / get_fertility(old_i,a.fert(old_i))) * - (get_fertility(new_i,a.fert(new_i)+1) /get_fertility(new_i,a.fert(new_i))) * - (t(new_i,j)/t(old_i,j)) * - (1.0); - LogProb a_prob=thisValue; - if( a_prob<0.0 ) - a_prob=prob_of_target_and_alignment_given_source(a,2); - massert(a_prob==prob_of_target_and_alignment_given_source(a,2)); - - LogProb b_prob=prob_of_target_and_alignment_given_source(b,2); - change*=b_prob/a_prob; - return change; -} -LogProb transpair_model5::scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue)const -{ - if( doModel4Scoring ) - return transpair_model4::scoreOfSwap(a,j1,j2,thisValue); - alignment b(a); - b.set(j1,a(j2)); - b.set(j2,a(j1)); - LogProb change=transpair_model3::scoreOfSwap(a,j1,j2,-1.0,0); - LogProb a_prob=thisValue; - if( a_prob<0.0 ) - a_prob=prob_of_target_and_alignment_given_source(a,2); - massert(a_prob==prob_of_target_and_alignment_given_source(a,2)); - LogProb b_prob=prob_of_target_and_alignment_given_source(b,2); - change*=b_prob/a_prob; - return change; -} - -LogProb transpair_model5::prob_of_target_and_alignment_given_source(const alignment&al, short distortionType,bool verb)const -{ - if( doModel4Scoring ) - return transpair_model4::prob_of_target_and_alignment_given_source(al,distortionType); - LogProb total = 1.0 ; - static const LogProb almostZero = 1E-299 ; - double x2; - if( distortionType&1 ) - { - total *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - if( verb) cerr << "IBM-5: (1-p1)^(m-2 f0)*p1^f0: " << total << endl; - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total *= double(m - al.fert(0) - i + 1) / i ; // IBM-5 is not deficient! - if( verb) cerr << "IBM-5: +NULL:binomial+distortion " << total << endl; - for (WordIndex i = 1 ; i <= l ; i++) - { - total *= get_fertility(i, al.fert(i)); - if( verb) cerr << "IBM-5: fertility of " << i << " " << get_fertility(i, al.fert(i)) << " -> " << total << endl; - } - for (WordIndex j = 1 ; j <= m ; j++) - { - total*= get_t(al(j), j) ; - if( verb) cerr << "IBM-5: t of j:" << j << " i:" << al(j) << ": " << get_t(al(j), j) << " -> " << total << endl; - } - } - if( distortionType&2 ) - { - PositionIndex prev_cept=0; - PositionIndex vac_all=m; - Vector<char> vac(m+1,0); - for(WordIndex i=1;i<=l;i++) - { - PositionIndex cur_j=al.als_i[i]; - PositionIndex prev_j=0; - PositionIndex k=0; - if(cur_j) { // process first word of cept - k++; - // previous position - total*= (x2=d5m.getProb_first(vacancies(vac,cur_j),vacancies(vac,al.get_center(prev_cept)),d5m.fwordclasses->getClass(get_fs(cur_j)),l,m,vac_all-al.fert(i)+k)); - - vac_all--; - assert(vac[cur_j]==0); - vac[cur_j]=1; - - if( verb) cerr << "IBM-5: d=1 of " << cur_j << ": " << x2 << " -> " << total << endl; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - while(cur_j) { // process following words of cept - k++; - // previous position - int vprev=vacancies(vac,prev_j); - total*= (x2=d5m.getProb_bigger(vacancies(vac,cur_j),vprev,d5m.fwordclasses->getClass(get_fs(cur_j)),l,m,vac_all-vprev/*war weg*/-al.fert(i)+k)); - - - vac_all--; - vac[cur_j]=1; - - - if( verb) cerr << "IBM-5: d>1 of " << cur_j << ": " << x2 << " -> " << total << endl; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - assert(k==al.fert(i)); - if( k ) - prev_cept=i; - } - assert(vac_all==al.fert(0)); - } - total = total?total:almostZero; - return total; -} - - -void transpair_model5::computeScores(const alignment&al,vector<double>&d)const -{ - LogProb total1 = 1.0,total2=1.0,total3=1.0,total4=1.0 ; - total1 *= pow(double(1-p1), m-2.0 * al.fert(0)) * pow(double(p1), double(al.fert(0))); - for (WordIndex i = 1 ; i <= al.fert(0) ; i++) - total1 *= double(m - al.fert(0) - i + 1) / i ; // IBM-5 is not deficient! - for (WordIndex i = 1 ; i <= l ; i++) - total2 *= get_fertility(i, al.fert(i)); - for (WordIndex j = 1 ; j <= m ; j++) - total3*= get_t(al(j), j) ; - PositionIndex prev_cept=0; - PositionIndex vac_all=m; - Vector<char> vac(m+1,0); - for(WordIndex i=1;i<=l;i++) - { - PositionIndex cur_j=al.als_i[i]; - PositionIndex prev_j=0; - PositionIndex k=0; - if(cur_j) { // process first word of cept - k++; - total4*=d5m.getProb_first(vacancies(vac,cur_j),vacancies(vac,al.get_center(prev_cept)),d5m.fwordclasses->getClass(get_fs(cur_j)),l,m,vac_all-al.fert(i)+k); - vac_all--; - assert(vac[cur_j]==0); - vac[cur_j]=1; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - while(cur_j) { // process following words of cept - k++; - int vprev=vacancies(vac,prev_j); - total4*=d5m.getProb_bigger(vacancies(vac,cur_j),vprev,d5m.fwordclasses->getClass(get_fs(cur_j)),l,m,vac_all-vprev/*war weg*/-al.fert(i)+k); - vac_all--; - vac[cur_j]=1; - prev_j=cur_j; - cur_j=al.als_j[cur_j].next; - } - assert(k==al.fert(i)); - if( k ) - prev_cept=i; - } - assert(vac_all==al.fert(0)); - d.push_back(total1);//13 - d.push_back(total2);//14 - d.push_back(total3);//15 - d.push_back(total4);//16 -} diff --git a/mgizapp/src/transpair_model5.h b/mgizapp/src/transpair_model5.h deleted file mode 100644 index 5ecf49d..0000000 --- a/mgizapp/src/transpair_model5.h +++ /dev/null @@ -1,74 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef transpair_model5_h_fjo_defined -#define transpair_model5_h_fjo_defined -#include "Array2.h" -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include "D5Tables.h" -#include "transpair_model4.h" - -extern double factorial(int n); - -inline int vacancies(const Vector<char>&vac,int u) -{ - int n=0; - const char *i=&(vac[0])+1; - const char *end=&(vac[0])+u+1; - while(i<end) - n+= ((*i++)==0); - return n; -} - -class transpair_model5 : public transpair_model4 -{ - private: - const d5model&d5m; - bool doModel4Scoring; - public: - typedef transpair_model3 simpler_transpair_model; - mutable map<Vector<PositionIndex>,LogProb> scores[4]; - transpair_model5(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable, - amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable, double _p1, double _p0, - const d5model*_d5m) - : transpair_model4(es, fs, tTable, aTable, dTable, nTable, _p1, _p0,&_d5m->d4m),d5m(*_d5m),doModel4Scoring(0) {} - LogProb scoreOfAlignmentForChange(const alignment&a)const - { - if( doModel4Scoring ) - return transpair_model4::prob_of_target_and_alignment_given_source(a,2); - else - return prob_of_target_and_alignment_given_source(a,2); - } - LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const; - LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ; - LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const; - LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ; - int modelnr()const{return 5;} - LogProb prob_of_target_and_alignment_given_source(const alignment&al, short distortionType=3,bool verb=0)const; - void computeScores(const alignment&al,vector<double>&d)const; -}; -#endif diff --git a/mgizapp/src/transpair_modelhmm.h b/mgizapp/src/transpair_modelhmm.h deleted file mode 100644 index 2b38913..0000000 --- a/mgizapp/src/transpair_modelhmm.h +++ /dev/null @@ -1,223 +0,0 @@ -/* - -Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI) - -This file is part of GIZA++ ( extension of GIZA ). - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef transpair_modelhmm_h_fjo_defined -#define transpair_modelhmm_h_fjo_defined -#include "Array2.h" -#include "defs.h" -#include "Vector.h" -#include "NTables.h" -#include "ATables.h" -#include "TTables.h" -#include "alignment.h" -#include <math.h> -#include "transpair_model2.h" -#include "ForwardBackward.h" -#include "hmm.h" - -class transpair_modelhmm : public transpair_model2 -{ - public: - typedef transpair_modelhmm simpler_transpair_model; - HMMNetwork*net; - transpair_modelhmm(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, const tmodel<COUNT, PROB>&tTable, - const amodel<PROB>&aTable,const amodel<PROB>&,const nmodel<PROB>&, - double, double,const hmm*h) - : transpair_model2(es,fs,tTable,aTable),net(h->makeHMMNetwork(es,fs,0)) - {} - ~transpair_modelhmm() { delete net; } - int modelnr()const{return 6;} - LogProb scoreOfMove(const alignment&a, WordIndex _new_i, WordIndex j,double=-1.0)const - { - int new_i=_new_i; - LogProb change=1.0; - int old_i=a(j); - if (old_i == new_i) - change=1.0; - else - { - int theJ=j-1; - old_i--; - new_i--; - int jj=j-1; - while(jj>0&&a(jj)==0) - jj--; - int theIPrev= (jj>0)?(a(jj)-1):0; - if( j>1&&a(j-1)==0 ) - theIPrev+=l; - if( old_i==-1 ){old_i = theIPrev;if(old_i<int(l))old_i+=l;} - if( new_i==-1 ){new_i = theIPrev;if(new_i<int(l))new_i+=l;} - int theIPrevOld=theIPrev,theIPrevNew=theIPrev; - if( theJ==0 ) - { - change*=net->getAlphainit(new_i)/net->getAlphainit(old_i); - } - do - { - if( new_i!=old_i ) - { - change*=net->nodeProb(new_i,theJ)/net->nodeProb(old_i,theJ); - } - if( theJ>0) - change*=net->outProb(theJ,theIPrevNew,new_i)/net->outProb(theJ,theIPrevOld,old_i); - theIPrevOld=old_i; - theIPrevNew=new_i; - theJ++; - if( theJ<int(m) && a(theJ+1)==0 ) - { - if( new_i<int(l)) new_i+=l; - if( old_i<int(l)) old_i+=l; - } - } while( theJ<int(m) && a(theJ+1)==0 ); - if(theJ==int(m)) - { - change*=net->getBetainit(new_i)/net->getBetainit(old_i); - } - else - { - new_i=a(theJ+1)-1; - if( new_i==-1) - new_i=theIPrevNew; - change*=net->outProb(theJ,theIPrevNew,new_i)/net->outProb(theJ,theIPrevOld,new_i); - } - } - return change; - } - LogProb scoreOfAlignmentForChange(const alignment&)const - {return -1.0; } - LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double=-1.0)const - { - return _scoreOfSwap(a,j1,j2); - } - LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double=-1.0)const - { - alignment b(a); - b.set(j, new_i); - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - LogProb b_prob=prob_of_target_and_alignment_given_source(b); - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; - } - LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double=-1.0)const - { - WordIndex aj1=a(j1),aj2=a(j2); - if( aj1==aj2 ) - return 1.0; - LogProb a_prob=prob_of_target_and_alignment_given_source(a); - - /*alignment b(a); - b.set(j1, a(j2)); - b.set(j2, a(j1)); - LogProb b_prob=prob_of_target_and_alignment_given_source(b);*/ - - const_cast<alignment&>(a).set(j1,aj2); - const_cast<alignment&>(a).set(j2,aj1); - LogProb b_prob=prob_of_target_and_alignment_given_source(a); - const_cast<alignment&>(a).set(j1,aj1); - const_cast<alignment&>(a).set(j2,aj2); - - if( a_prob ) - return b_prob/a_prob; - else if( b_prob ) - return 1e20; - else - return 1.0; - } - inline friend ostream&operator<<(ostream&out, const transpair_modelhmm&) - { - return out << "NO-OUTPUT for transpair_modelhmm\n"; - } - LogProb prob_of_target_and_alignment_given_source(const alignment&al,bool verbose=0)const - { - double prob=1.0; - int theIPrev=0; - for(unsigned int j=1;j<=m;j++) - { - int theJ=j-1; - int theI=al(j)-1; - if( theI==-1 ) - theI=(theIPrev%l)+l; - prob*=net->nodeProb(theI,theJ); - if( verbose ) - cout << "NP " << net->nodeProb(theI,theJ) << ' '; - if( j==1 ) - { - prob*=net->getAlphainit(theI); - if( verbose ) - cout << "AP0 " << net->getAlphainit(theI) << ' '; - } - else - { - prob*=net->outProb(theJ,theIPrev,theI); - if( verbose ) - cout << "AP1 " << net->outProb(theJ,theIPrev,theI) << ' '; - } - theIPrev=theI; - if( j==m ) - { - prob*=net->getBetainit(theI); - if( verbose ) - cout << "AP2 " << net->getBetainit(theI) << ' '; - } - if( verbose ) - cout << "j:"<<theJ<<" i:"<<theI << "; "; - } - if( verbose ) - cout << '\n'; - return prob*net->finalMultiply; - } - void computeScores(const alignment&al,vector<double>&d)const - { - double prob1=1.0,prob2=1.0; - int theIPrev=0; - for(unsigned int j=1;j<=m;j++) - { - int theJ=j-1; - int theI=al(j)-1; - if( theI==-1 ) - theI=(theIPrev%l)+l; - prob1*=net->nodeProb(theI,theJ); - if( j==1 ) - { - prob2*=net->getAlphainit(theI); - } - else - { - prob2*=net->outProb(theJ,theIPrev,theI); - } - theIPrev=theI; - if( j==m ) - { - prob2*=net->getBetainit(theI); - } - } - d.push_back(prob1); - d.push_back(prob2); - } - - bool isSubOptimal()const{return 0;} -}; -#endif diff --git a/mgizapp/src/ttableDiff.hpp b/mgizapp/src/ttableDiff.hpp deleted file mode 100644 index 0a5f3fb..0000000 --- a/mgizapp/src/ttableDiff.hpp +++ /dev/null @@ -1,115 +0,0 @@ -/* -*- Mode: C; indent-tabs-mode: t; c-basic-offset: 4; tab-width: 4 -*- */ -/* - * newgiza - * Copyright (C) Qin Gao 2007 <qing@cs.cmu.edu> - * - * newgiza is free software. - * - * You may redistribute it and/or modify it under the terms of the - * GNU General Public License, as published by the Free Software - * Foundation; either version 2 of the License, or (at your option) - * any later version. - * - * newgiza is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. - * See the GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with newgiza. If not, write to: - * The Free Software Foundation, Inc., - * 51 Franklin Street, Fifth Floor - * Boston, MA 02110-1301, USA. - */ - - -#ifndef _TTABLEDIFF_HPP_ -#define _TTABLEDIFF_HPP_ -#include "TTables.h" -#include <sstream> -#include <string> -#include "types.h" - -using namespace std; -/*! -This class is meant to create a difference file in order to make -GIZA paralell. -*/ -template <class COUNT,class PROB> -class CTTableDiff{ -private: - INT32 noEnglishWords; // total number of unique source words - INT32 noFrenchWords; // total number of unique target words - /*! - Store only the counting*/ - hash_map<wordPairIds, COUNT, hashpair, equal_to<wordPairIds> > ef; - -public: - INT32 SaveToFile(const char* filename){ - ofstream ofs(filename); - if(!ofs.is_open()){ - return -1; - }else{ - typename hash_map<wordPairIds, COUNT, hashpair, equal_to<wordPairIds> >::iterator it; - for( it = ef.begin() ; it != ef.end(); it++){ - ofs << it->first.first << " " << it->first.second << " " - << it->second << std::endl; - } - } - return SUCCESS; - } - - INT32 LoadFromFile(const char* filename){ - ef.clear(); - ifstream ifs(filename); - if(!ifs.is_open()){ - return -1; - } - string sline; - while(!ifs.eof()){ - sline = ""; - std::getline(ifs,sline); - if(sline.length()){ - //cout << sline << endl; - stringstream ss(sline.c_str()); - WordIndex we=-1,wf=-1; - COUNT ct=-1 ; - ss >> we >> wf >> ct; - if(we==-1||wf==-1||ct==-1) - continue; - ef[wordPairIds(we,wf)] = ct; - } - } - return SUCCESS; - } - - COUNT * GetPtr(WordIndex e, WordIndex f){ - // look up this pair and return its position - typename hash_map<wordPairIds, COUNT, hashpair, equal_to<wordPairIds> >::iterator i = ef.find(wordPairIds(e, f)); - if(i != ef.end()) // if it exists, return a pointer to it. - return(&((*i).second)); - else return(0) ; // else return NULL pointer - } - - void incCount(WordIndex e, WordIndex f, COUNT inc) - // increments the count of the given word pair. if the pair does not exist, - // it creates it with the given value. - { - if( inc ) - ef[wordPairIds(e, f)] += inc ; - } - - INT32 AugmentTTable(tmodel<COUNT,PROB>& ttable){ - typename hash_map<wordPairIds, COUNT, hashpair, - equal_to<wordPairIds> >::iterator it; - for( it = ef.begin() ; it != ef.end(); it++){ - ttable.incCount(it->first.first,it->first.second,it->second); - } - return SUCCESS; - } - -protected: - -}; - -#endif // _TTABLEDIFF_HPP_ diff --git a/mgizapp/src/types.h b/mgizapp/src/types.h deleted file mode 100644 index b26db96..0000000 --- a/mgizapp/src/types.h +++ /dev/null @@ -1,12 +0,0 @@ -/*! -A set of definition of types, when port to X64, something should -be changed. -*/ - - -typedef int INT32; -typedef float FLOAT32; -typedef double FLOAT64; - -#define SUCCESS 0 -#define IS_SUCCESS(x) (x==0) diff --git a/mgizapp/src/utility.cpp b/mgizapp/src/utility.cpp deleted file mode 100644 index 4e9607a..0000000 --- a/mgizapp/src/utility.cpp +++ /dev/null @@ -1,30 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "mymath.h" - -double factorial(int n) -{ - double f=1; - for(int i=2; i <= n; i++) - f *= i; - return f; -} diff --git a/mgizapp/src/utility.h b/mgizapp/src/utility.h deleted file mode 100644 index 078a2a0..0000000 --- a/mgizapp/src/utility.h +++ /dev/null @@ -1,54 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef utility_h -#define utility_h -#include <iostream> -#include "Perplexity.h" -#include "Vector.h" -#include "TTables.h" -#include "getSentence.h" -#include "vocab.h" - -extern void printHelp(void); -extern void parseConfigFile (char * fname ); -extern void parseArguments(int argc, char *argv[]); -extern void generatePerplexityReport(const Perplexity& trainperp, - const Perplexity& testperp, - const Perplexity& trainVperp, - const Perplexity& testVperp, - ostream& of, int trainsize, - int testsize, unsigned int last, bool); - -extern void printSentencePair(Vector<WordIndex>& es, Vector<WordIndex>& fs, ostream& of); - -extern void printOverlapReport(const tmodel<COUNT, PROB>& tTable, - sentenceHandler& testHandler, vcbList& trainEList, - vcbList& trainFList, vcbList& testEList, vcbList& testFList); - -extern void printAlignToFile(const Vector<WordIndex>& es, const Vector<WordIndex>& fs, - const Vector<WordEntry>& evlist, const Vector<WordEntry>& fvlist, - ostream& of2, const Vector<WordIndex>& viterbi_alignment, int pair_no, - double viterbi_score); - -extern double factorial(int) ; - -#endif diff --git a/mgizapp/src/vocab.cpp b/mgizapp/src/vocab.cpp deleted file mode 100644 index e7bf13a..0000000 --- a/mgizapp/src/vocab.cpp +++ /dev/null @@ -1,120 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#include "vocab.h" - -void vcbList::readVocabList() - // reads a vocabulary file from fname. It expects the following format: - // - // token_id token_string frequency -{ - - int freq=0; - WordIndex word_id ; - WordEntry entry("NULL",0) ; - - string line, word ; - cerr << "Reading vocabulary file from:" << fname << "\n"; - // total = 0 ; - ifstream ifs(fname); - - if(!ifs){ - cerr << "\nCannot open vocabulary file " << fname << "file"; - exit(1); - } - size_t sline = 0; - while(getline(ifs, line)){ - sline ++; - } - - ifs.close(); - - ifstream vFile(fname); - if(!vFile){ - cerr << "\nCannot open vocabulary file " << fname << "file"; - exit(1); - } - - list.reserve(sline+100); // Reserve space to prevent re-allocating - - list.push_back(entry); - s2i[entry.word]=list.size()-1; - - while(getline(vFile, line)){ - istrstream buffer(line.c_str()); - if(!(buffer >> word_id >> word >> freq)) - cerr << "ERROR: reading vocabulary; " << word_id << ' ' << word << ' ' << freq << endl; - if (word_id == 0){ - cerr << "ERROR: TOKEN ID 0 is reserved for special token NULL, in line: \n"<< line<<"\n" ; - exit(-1); - } - else if (word_id >= MAX_VOCAB_SIZE){ - cerr << "ERROR: TOKEN ID is greater than maximum vocabulary size " - << MAX_VOCAB_SIZE << " in line :\n"<< line <<"\n" ; - exit(-1); - } - else if (freq < 0){ - cerr << "ERROR: frequency must be a positive integer, in line :\n" - << line <<"\n"; - exit(-1); - } - else if(word_id >= list.size()){ - list.resize(word_id+1); - list[word_id].word = word ; - s2i[word]=word_id; - list[word_id].freq = 0 ; - noUniqueTokens = word_id + 1 ; - // noUniqueTokens++ ; - // total += freq ; - } - else if(list[word_id].word != "\0"){ - cerr << "ERROR: TOKEN ID must be unique for each token, in line :\n" - << line <<"\n"; - cerr << "TOKEN ID " << word_id << " has already been assigned to: " << - list[word_id].word << "\n"; - exit(-1); - } - else { // line has valid information - list[word_id].word = word ; - s2i[word]=word_id; - list[word_id].freq = 0 ; - // noUniqueTokens++ ; - noUniqueTokens = word_id + 1 ; - // total += freq ; - } - } // end of while -} - - -void vcbList::compact(const std::set<WordIndex>& evoc){ - int del = 0; - for(int i=0; i< list.size() ; i++){ - if(evoc.find(i)==evoc.end()){ // Not appear in corpus - s2i.erase(list[i].word); - list[i].word = ""; - del++; - } - } - cerr << "Compacted Vocabulary, eliminated " << del << " entries " - << s2i.size() << " remains " << endl; -} - - diff --git a/mgizapp/src/vocab.h b/mgizapp/src/vocab.h deleted file mode 100644 index 8bf5de7..0000000 --- a/mgizapp/src/vocab.h +++ /dev/null @@ -1,110 +0,0 @@ -/* - -EGYPT Toolkit for Statistical Machine Translation -Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky. - -This program is free software; you can redistribute it and/or -modify it under the terms of the GNU General Public License -as published by the Free Software Foundation; either version 2 -of the License, or (at your option) any later version. - -This program is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with this program; if not, write to the Free Software -Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, -USA. - -*/ -#ifndef _vocab_h -#define _vocab_h 1 - -#include "defs.h" -#include "Vector.h" - -#include <fstream> -#include <strstream> -#include <map> -#include <set> - -class WordEntry { - public: - string word ; - double freq ; - WordEntry():word("\0"), freq(0){}; - WordEntry(string w, int f):word(w), freq(f){}; -}; - -class vcbList{ - private: - Vector<WordEntry>& list ; - map<string,int> s2i; - double total; - WordIndex noUniqueTokens ; - WordIndex noUniqueTokensInCorpus ; - const char* fname ; - public: - vcbList(Vector<WordEntry>& vcb,const char* f=0):list(vcb), total(0), noUniqueTokens(0), noUniqueTokensInCorpus(0), fname(f){}; - void setName(const char*f) - { fname=f; } - vcbList(const vcbList& a):list(a.list), total(a.total), noUniqueTokens(a.noUniqueTokens), noUniqueTokensInCorpus(0), fname(a.fname){}; - void compact(const std::set<WordIndex>& evoc); - inline WordIndex size()const {return (list.size());}; - inline WordIndex uniqTokens()const {return noUniqueTokens;}; - inline WordIndex uniqTokensInCorpus()const {return noUniqueTokensInCorpus;}; - inline double totalVocab() const {return total;}; - inline Vector<WordEntry>& getVocabList() { return(list);}; - inline const Vector<WordEntry>& getVocabList()const { return(list);}; - void readVocabList(); - void incFreq(WordIndex id , double f){ - if(id < list.size()){ - if (list[id].freq == 0) - noUniqueTokensInCorpus++; - list[id].freq += f ; - total += f ; - } - }; - void clearAllFreq(){ - for (WordIndex id = 0 ; id < list.size() ; id++) - list[id].freq = 0 ; - total = 0 ; - noUniqueTokensInCorpus = 0 ; - }; - - const bool has_word(const string& x) const{ - map<string,int>::const_iterator i=s2i.find(x); - return i!=s2i.end(); - } - int operator()(const string&x)const - { - map<string,int>::const_iterator i=s2i.find(x); - if( i!=s2i.end() ) - return i->second; - else - { - cerr << "ERROR: no word index for '"<<x<<"'\n"; - return 0; - } - } - const string operator()(WordIndex id) const { // Yaser - 2000-12-13 - if (id < list.size()) - return list[id].word ; - else return 0 ; - } - const string operator[](WordIndex id) const { // Yaser - 2000-12-13 - if (id < list.size()) - return list[id].word ; - else return 0 ; - } - void printVocabList(ostream& of){ - for (WordIndex i = 1 ; i < list.size() ; i++){ - if (list[i].word != "" && list[i].freq > 0) - of << i << ' ' << list[i].word << ' ' << list[i].freq << '\n'; - } - } - -}; -#endif diff --git a/experimental/alignment-enabled/MGIZA/AUTHORS b/v0.6.4/AUTHORS index e69de29..e69de29 100644 --- a/experimental/alignment-enabled/MGIZA/AUTHORS +++ b/v0.6.4/AUTHORS diff --git a/experimental/alignment-enabled/MGIZA/COPYING b/v0.6.4/COPYING index 94a9ed0..94a9ed0 100644 --- 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a/experimental/alignment-enabled/MGIZA/src/mkcls/mkcls.cpp b/v0.6.4/src/mkcls/mkcls.cpp index 90ebfde..90ebfde 100644 --- a/experimental/alignment-enabled/MGIZA/src/mkcls/mkcls.cpp +++ b/v0.6.4/src/mkcls/mkcls.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/mkcls/my.h b/v0.6.4/src/mkcls/my.h index ba06657..ba06657 100644 --- a/experimental/alignment-enabled/MGIZA/src/mkcls/my.h +++ b/v0.6.4/src/mkcls/my.h diff --git a/experimental/alignment-enabled/MGIZA/src/mkcls/myassert.h b/v0.6.4/src/mkcls/myassert.h index da86ffb..da86ffb 100644 --- a/experimental/alignment-enabled/MGIZA/src/mkcls/myassert.h +++ b/v0.6.4/src/mkcls/myassert.h diff --git a/experimental/alignment-enabled/MGIZA/src/mkcls/myleda.h b/v0.6.4/src/mkcls/myleda.h index 6fc936b..6fc936b 100644 --- a/experimental/alignment-enabled/MGIZA/src/mkcls/myleda.h +++ b/v0.6.4/src/mkcls/myleda.h diff --git a/experimental/alignment-enabled/MGIZA/src/mkcls/mystl.h b/v0.6.4/src/mkcls/mystl.h index bcda88d..bcda88d 100644 --- a/experimental/alignment-enabled/MGIZA/src/mkcls/mystl.h +++ b/v0.6.4/src/mkcls/mystl.h diff --git a/mgizapp/src/model1.cpp b/v0.6.4/src/model1.cpp index 315a825..315a825 100644 --- a/mgizapp/src/model1.cpp +++ b/v0.6.4/src/model1.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/model1.h b/v0.6.4/src/model1.h index cadc1e3..cadc1e3 100644 --- a/experimental/alignment-enabled/MGIZA/src/model1.h +++ b/v0.6.4/src/model1.h diff --git a/experimental/alignment-enabled/MGIZA/src/model2.cpp b/v0.6.4/src/model2.cpp index affa0bd..affa0bd 100644 --- a/experimental/alignment-enabled/MGIZA/src/model2.cpp +++ b/v0.6.4/src/model2.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/model2.h b/v0.6.4/src/model2.h index ff8e993..ff8e993 100644 --- a/experimental/alignment-enabled/MGIZA/src/model2.h +++ b/v0.6.4/src/model2.h diff --git a/experimental/alignment-enabled/MGIZA/src/model2to3.cpp b/v0.6.4/src/model2to3.cpp index d4db81a..d4db81a 100644 --- a/experimental/alignment-enabled/MGIZA/src/model2to3.cpp +++ b/v0.6.4/src/model2to3.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/model3.cpp b/v0.6.4/src/model3.cpp index 5b04ae0..5b04ae0 100644 --- a/experimental/alignment-enabled/MGIZA/src/model3.cpp +++ b/v0.6.4/src/model3.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/model3.h b/v0.6.4/src/model3.h index c3e7d28..c3e7d28 100644 --- a/experimental/alignment-enabled/MGIZA/src/model3.h +++ b/v0.6.4/src/model3.h diff --git a/experimental/alignment-enabled/MGIZA/src/model345-peg.cpp b/v0.6.4/src/model345-peg.cpp index 8c1bde6..8c1bde6 100644 --- a/experimental/alignment-enabled/MGIZA/src/model345-peg.cpp +++ b/v0.6.4/src/model345-peg.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/model3_viterbi.cpp b/v0.6.4/src/model3_viterbi.cpp index 8c95310..8c95310 100644 --- a/experimental/alignment-enabled/MGIZA/src/model3_viterbi.cpp +++ b/v0.6.4/src/model3_viterbi.cpp diff --git a/mgizapp/src/model3_viterbi_with_tricks.cpp b/v0.6.4/src/model3_viterbi_with_tricks.cpp index 1034533..1034533 100644 --- a/mgizapp/src/model3_viterbi_with_tricks.cpp +++ b/v0.6.4/src/model3_viterbi_with_tricks.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/myassert.cpp b/v0.6.4/src/myassert.cpp index 2d49be8..2d49be8 100644 --- a/experimental/alignment-enabled/MGIZA/src/myassert.cpp +++ b/v0.6.4/src/myassert.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/myassert.h b/v0.6.4/src/myassert.h index b648fdd..b648fdd 100644 --- a/experimental/alignment-enabled/MGIZA/src/myassert.h +++ b/v0.6.4/src/myassert.h diff --git a/experimental/alignment-enabled/MGIZA/src/mymath.h b/v0.6.4/src/mymath.h index f8ad926..f8ad926 100644 --- a/experimental/alignment-enabled/MGIZA/src/mymath.h +++ b/v0.6.4/src/mymath.h diff --git a/experimental/alignment-enabled/MGIZA/src/mystl.h b/v0.6.4/src/mystl.h index 65c5ca1..65c5ca1 100644 --- a/experimental/alignment-enabled/MGIZA/src/mystl.h +++ b/v0.6.4/src/mystl.h diff --git a/experimental/alignment-enabled/MGIZA/src/parse.cpp b/v0.6.4/src/parse.cpp index c8eb570..c8eb570 100644 --- a/experimental/alignment-enabled/MGIZA/src/parse.cpp +++ b/v0.6.4/src/parse.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/plain2snt.cpp b/v0.6.4/src/plain2snt.cpp index 6e8f0b7..6e8f0b7 100644 --- a/experimental/alignment-enabled/MGIZA/src/plain2snt.cpp +++ b/v0.6.4/src/plain2snt.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/reports.cpp b/v0.6.4/src/reports.cpp index 4d5873a..4d5873a 100644 --- a/experimental/alignment-enabled/MGIZA/src/reports.cpp +++ b/v0.6.4/src/reports.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/snt2cooc.cpp b/v0.6.4/src/snt2cooc.cpp index 0eb2aaf..0eb2aaf 100644 --- a/experimental/alignment-enabled/MGIZA/src/snt2cooc.cpp +++ b/v0.6.4/src/snt2cooc.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/snt2plain.cpp b/v0.6.4/src/snt2plain.cpp index 23dacbe..23dacbe 100644 --- a/experimental/alignment-enabled/MGIZA/src/snt2plain.cpp +++ b/v0.6.4/src/snt2plain.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/symal.cpp b/v0.6.4/src/symal.cpp index 5767859..5767859 100644 --- a/experimental/alignment-enabled/MGIZA/src/symal.cpp +++ b/v0.6.4/src/symal.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/syncObj.h b/v0.6.4/src/syncObj.h index 1c1b31d..1c1b31d 100644 --- a/experimental/alignment-enabled/MGIZA/src/syncObj.h +++ b/v0.6.4/src/syncObj.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model1.h b/v0.6.4/src/transpair_model1.h index 00d7875..00d7875 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model1.h +++ b/v0.6.4/src/transpair_model1.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model2.h b/v0.6.4/src/transpair_model2.h index f3d53e3..f3d53e3 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model2.h +++ b/v0.6.4/src/transpair_model2.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model3.cpp b/v0.6.4/src/transpair_model3.cpp index 0ab4c54..0ab4c54 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model3.cpp +++ b/v0.6.4/src/transpair_model3.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model3.h b/v0.6.4/src/transpair_model3.h index 5fa43db..5fa43db 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model3.h +++ b/v0.6.4/src/transpair_model3.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model4.cpp b/v0.6.4/src/transpair_model4.cpp index ebc2666..ebc2666 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model4.cpp +++ b/v0.6.4/src/transpair_model4.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model4.h b/v0.6.4/src/transpair_model4.h index c8e1853..c8e1853 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model4.h +++ b/v0.6.4/src/transpair_model4.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model5.cpp b/v0.6.4/src/transpair_model5.cpp index c621206..c621206 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model5.cpp +++ b/v0.6.4/src/transpair_model5.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_model5.h b/v0.6.4/src/transpair_model5.h index 5ecf49d..5ecf49d 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_model5.h +++ b/v0.6.4/src/transpair_model5.h diff --git a/experimental/alignment-enabled/MGIZA/src/transpair_modelhmm.h b/v0.6.4/src/transpair_modelhmm.h index 2b38913..2b38913 100644 --- a/experimental/alignment-enabled/MGIZA/src/transpair_modelhmm.h +++ b/v0.6.4/src/transpair_modelhmm.h diff --git a/experimental/alignment-enabled/MGIZA/src/ttableDiff.hpp b/v0.6.4/src/ttableDiff.hpp index 0a5f3fb..0a5f3fb 100644 --- a/experimental/alignment-enabled/MGIZA/src/ttableDiff.hpp +++ b/v0.6.4/src/ttableDiff.hpp diff --git a/experimental/alignment-enabled/MGIZA/src/types.h b/v0.6.4/src/types.h index b26db96..b26db96 100644 --- a/experimental/alignment-enabled/MGIZA/src/types.h +++ b/v0.6.4/src/types.h diff --git a/experimental/alignment-enabled/MGIZA/src/utility.cpp b/v0.6.4/src/utility.cpp index 4e9607a..4e9607a 100644 --- a/experimental/alignment-enabled/MGIZA/src/utility.cpp +++ b/v0.6.4/src/utility.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/utility.h b/v0.6.4/src/utility.h index 078a2a0..078a2a0 100644 --- a/experimental/alignment-enabled/MGIZA/src/utility.h +++ b/v0.6.4/src/utility.h diff --git a/experimental/alignment-enabled/MGIZA/src/vocab.cpp b/v0.6.4/src/vocab.cpp index e7bf13a..e7bf13a 100644 --- a/experimental/alignment-enabled/MGIZA/src/vocab.cpp +++ b/v0.6.4/src/vocab.cpp diff --git a/experimental/alignment-enabled/MGIZA/src/vocab.h b/v0.6.4/src/vocab.h index 8bf5de7..8bf5de7 100644 --- a/experimental/alignment-enabled/MGIZA/src/vocab.h +++ b/v0.6.4/src/vocab.h |