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///////////////////////////////////////////////////////////////////////////////
// //
// This file is part of ModelBlocks. Copyright 2009, ModelBlocks developers. //
// //
// ModelBlocks 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. //
// //
// ModelBlocks 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 ModelBlocks. If not, see <http://www.gnu.org/licenses/>. //
// //
// ModelBlocks developers designate this particular file as subject to //
// the "Moses" exception as provided by ModelBlocks developers in //
// the LICENSE file that accompanies this code. //
// //
///////////////////////////////////////////////////////////////////////////////
#include "nl-cpt.h"
#include "nl-dtree.h"
#include "TextObsVars.h"
////////////////////////////////////////////////////////////////////////////////
//
// Models
//
////////////////////////////////////////////////////////////////////////////////
/* WS: DO *NOT* BRING THIS BACK AND DELETE MY X MODEL !!!!!!!!!!!!!!!
//// Preterminal (POS) given constituent category models...
typedef HidVarCPT2DModel<P,C,LogProb> PgivCModel;
//// Generative model of word given tag...
class WModel {
private:
TrainableDTree2DModel<P,W,LogProb> modPgivWdt;
RandAccCPT2DModel<P,W,LogProb> modPgivWs;
RandAccCPT1DModel<P,LogProb> modP;
RandAccCPT1DModel<W,LogProb> modW;
public:
//LogProb getProb ( const W& w, const HidVarCPT1DModel<P,LogProb>::IterVal& p ) const {
LogProb getProb ( const W& w, const P::ArrayIterator<LogProb>& p ) const {
assert(modP.getProb(p)!=LogProb());
LogProb pr = ( ( modW.contains(w) ? modPgivWs.getProb(p,w) : modPgivWdt.getProb(p,w) )
* LogProb(-1000) / modP.getProb(p) );
if(!modW.contains(w)){
cerr<<" w: "<<w<<" p: "<<p<<" modPgivWdt.getProb(p,w) : "<<modPgivWdt.getProb(p,w) <<endl;
}
return pr;
}
void writeFields ( FILE* pf, string sPref ) { modPgivWdt.writeFields(pf,sPref); }
friend pair<StringInput,WModel*> operator>> ( StringInput si, WModel& m ) { return pair<StringInput,WModel*>(si,&m); }
friend StringInput operator>> ( pair<StringInput,WModel*> delimbuff, const char* psD ) {
StringInput si;
return ( (si=delimbuff.first>>"W " >>delimbuff.second->modW >>psD)!=NULL ||
(si=delimbuff.first>>"Pw " >>delimbuff.second->modPgivWs >>psD)!=NULL ||
(si=delimbuff.first>>"PwDT ">>delimbuff.second->modPgivWdt>>psD)!=NULL ||
(si=delimbuff.first>>"P " >>delimbuff.second->modP >>psD)!=NULL ) ? si : StringInput(NULL);
}
};
//// Wrapper class for model
class OModel {
private:
PgivCModel modPgivC;
WModel modWgivP;
public:
class DistribModeledWgivC {
private:
SimpleHash<C,Prob> hcpCache;
W wW;
public:
DistribModeledWgivC& set ( const W& w, const OModel& m ) { wW=w; m.calcProb(*this,w); return *this; }
void clear ( ) { hcpCache.clear(); }
Prob& setProb ( const C& c ) { return hcpCache.set(c); }
LogProb getProb ( const C& c ) const { return LogProb(hcpCache.get(c)); }
W getW ( ) const { return wW; }
};
typedef DistribModeledWgivC RandVarType;
void calcProb ( OModel::RandVarType& o, const W& w ) const {
o.clear();
for ( PgivCModel::const_iterator iter = modPgivC.begin(); iter!=modPgivC.end(); iter++ ) {
C c = iter->first.getX1();
P::ArrayIterator<LogProb> p;
int aCtr=-1;
//for ( bool bp=modPgivC.setIterProb(p,c,aCtr); bp; bp=modPgivC.setIterProb(p,c,aCtr=0) ) {
for (LogProb pr=modPgivC.setIterProb(p,c,aCtr); pr!=LogProb(); pr = modPgivC.setIterProb(p,c,aCtr=0) ){
o.setProb(c) += modPgivC.getProb(p,c).toProb() * modWgivP.getProb(w,p).toProb();
}
}
}
LogProb getProb ( const OModel::RandVarType& o, const C& c ) const { return o.getProb(c); }
friend pair<StringInput,OModel*> operator>> ( StringInput si, OModel& m ) { return pair<StringInput,OModel*>(si,&m); }
friend StringInput operator>> ( pair<StringInput,OModel*> delimbuff, const char* psD ) {
StringInput si;
return ( (si=delimbuff.first>>"Pc ">>delimbuff.second->modPgivC>>psD)!=NULL ||
(si=delimbuff.first>> delimbuff.second->modWgivP>>psD)!=NULL ) ? si : StringInput(NULL);
}
void writeFields ( FILE* pf, string sPref ) { modWgivP.writeFields(pf,sPref); }
};
*/
class XModel {
private:
// Data members...
HidVarCPT2DModel<P,C,Prob> modPgivC;
TrainableDTree2DModel<P,X,Prob> modPgivXdt;
RandAccCPT2DModel<P,W,Prob> modPgivW;
RandAccCPT1DModel<P,Prob> modP;
RandAccCPT1DModel<W,Prob> modW;
public:
typedef X RandVarType;
bool unknown( const X& x ) const {
W w(x);
return w == W_UNK;
}
// Extraction methods...
LogProb getProb ( const X& x, const C& c ) const {
Prob pr=0.0;
W w(x);
if ( w != W_UNK ) {
for ( P::ArrayIterator<Prob> p = modPgivC.begin(c); !p.end(); ++p ) {
pr += modPgivC.getProb(p,c) * modPgivW.getProb(p,w) * modW.getProb(w) / modP.getProb(p);
}
} else {
for ( P::ArrayIterator<Prob> p = modPgivC.begin(c); !p.end(); ++p ) {
pr += modPgivC.getProb(p,c) * modPgivW.getProb(p,w) * modW.getProb(w) / modP.getProb(p);
}
}
return LogProb(pr);
}
// Input/output methods...
friend pair<StringInput,XModel*> operator>> ( StringInput si, XModel& m ) { return pair<StringInput,XModel*>(si,&m); }
friend StringInput operator>> ( pair<StringInput,XModel*> si_m, const char* psD ) {
StringInput si;
return ( (si=si_m.first>>"Pc " >>si_m.second->modPgivC >>psD)!=NULL ||
(si=si_m.first>>"W " >>si_m.second->modW >>psD)!=NULL ||
(si=si_m.first>>"Pw " >>si_m.second->modPgivW >>psD)!=NULL ||
(si=si_m.first>>"PwDT ">>si_m.second->modPgivXdt>>psD)!=NULL ||
(si=si_m.first>>"P " >>si_m.second->modP >>psD)!=NULL ) ? si : StringInput(NULL);
}
};
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