diff options
Diffstat (limited to 'moses-cmd')
-rw-r--r-- | moses-cmd/IOWrapper.cpp | 661 | ||||
-rw-r--r-- | moses-cmd/IOWrapper.h | 164 | ||||
-rw-r--r-- | moses-cmd/Jamfile | 2 | ||||
-rw-r--r-- | moses-cmd/LatticeMBRGrid.cpp | 2 | ||||
-rw-r--r-- | moses-cmd/Main.cpp | 460 | ||||
-rw-r--r-- | moses-cmd/mbr.cpp | 178 | ||||
-rw-r--r-- | moses-cmd/mbr.h | 28 |
7 files changed, 7 insertions, 1488 deletions
diff --git a/moses-cmd/IOWrapper.cpp b/moses-cmd/IOWrapper.cpp deleted file mode 100644 index 1483e0472..000000000 --- a/moses-cmd/IOWrapper.cpp +++ /dev/null @@ -1,661 +0,0 @@ -// $Id$ - -/*********************************************************************** -Moses - factored phrase-based language decoder -Copyright (c) 2006 University of Edinburgh -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, -are permitted provided that the following conditions are met: - - * Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - * Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - * Neither the name of the University of Edinburgh nor the names of its contributors - may be used to endorse or promote products derived from this software - without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, -THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR -PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS -BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR -CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF -SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS -INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER -IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) -ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE -POSSIBILITY OF SUCH DAMAGE. - ***********************************************************************/ - -// example file on how to use moses library - -#include <iostream> -#include <stack> -#include <boost/algorithm/string.hpp> - -#include "moses/TypeDef.h" -#include "moses/Util.h" -#include "moses/Hypothesis.h" -#include "moses/WordsRange.h" -#include "moses/TrellisPathList.h" -#include "moses/StaticData.h" -#include "moses/FeatureVector.h" -#include "moses/InputFileStream.h" -#include "moses/FF/StatefulFeatureFunction.h" -#include "moses/FF/StatelessFeatureFunction.h" -#include "util/exception.hh" - -#include "IOWrapper.h" - -using namespace std; -using namespace Moses; - -namespace MosesCmd -{ - -IOWrapper::IOWrapper( - const vector<FactorType> &inputFactorOrder - , const vector<FactorType> &outputFactorOrder - , const FactorMask &inputFactorUsed - , size_t nBestSize - , const string &nBestFilePath) - :m_inputFactorOrder(inputFactorOrder) - ,m_outputFactorOrder(outputFactorOrder) - ,m_inputFactorUsed(inputFactorUsed) - ,m_inputFile(NULL) - ,m_inputStream(&std::cin) - ,m_nBestStream(NULL) - ,m_outputWordGraphStream(NULL) - ,m_outputSearchGraphStream(NULL) - ,m_detailedTranslationReportingStream(NULL) - ,m_alignmentOutputStream(NULL) -{ - Initialization(inputFactorOrder, outputFactorOrder - , inputFactorUsed - , nBestSize, nBestFilePath); -} - -IOWrapper::IOWrapper(const std::vector<FactorType> &inputFactorOrder - , const std::vector<FactorType> &outputFactorOrder - , const FactorMask &inputFactorUsed - , size_t nBestSize - , const std::string &nBestFilePath - , const std::string &inputFilePath) - :m_inputFactorOrder(inputFactorOrder) - ,m_outputFactorOrder(outputFactorOrder) - ,m_inputFactorUsed(inputFactorUsed) - ,m_inputFilePath(inputFilePath) - ,m_inputFile(new InputFileStream(inputFilePath)) - ,m_nBestStream(NULL) - ,m_outputWordGraphStream(NULL) - ,m_outputSearchGraphStream(NULL) - ,m_detailedTranslationReportingStream(NULL) - ,m_alignmentOutputStream(NULL) -{ - Initialization(inputFactorOrder, outputFactorOrder - , inputFactorUsed - , nBestSize, nBestFilePath); - - m_inputStream = m_inputFile; -} - -IOWrapper::~IOWrapper() -{ - if (m_inputFile != NULL) - delete m_inputFile; - if (m_nBestStream != NULL && !m_surpressSingleBestOutput) { - // outputting n-best to file, rather than stdout. need to close file and delete obj - delete m_nBestStream; - } - if (m_outputWordGraphStream != NULL) { - delete m_outputWordGraphStream; - } - if (m_outputSearchGraphStream != NULL) { - delete m_outputSearchGraphStream; - } - delete m_detailedTranslationReportingStream; - delete m_alignmentOutputStream; -} - -void IOWrapper::Initialization(const std::vector<FactorType> &/*inputFactorOrder*/ - , const std::vector<FactorType> &/*outputFactorOrder*/ - , const FactorMask &/*inputFactorUsed*/ - , size_t nBestSize - , const std::string &nBestFilePath) -{ - const StaticData &staticData = StaticData::Instance(); - - // n-best - m_surpressSingleBestOutput = false; - - if (nBestSize > 0) { - if (nBestFilePath == "-" || nBestFilePath == "/dev/stdout") { - m_nBestStream = &std::cout; - m_surpressSingleBestOutput = true; - } else { - std::ofstream *file = new std::ofstream; - m_nBestStream = file; - file->open(nBestFilePath.c_str()); - } - } - - // wordgraph output - if (staticData.GetOutputWordGraph()) { - string fileName = staticData.GetParam("output-word-graph")[0]; - std::ofstream *file = new std::ofstream; - m_outputWordGraphStream = file; - file->open(fileName.c_str()); - } - - - // search graph output - if (staticData.GetOutputSearchGraph()) { - string fileName; - if (staticData.GetOutputSearchGraphExtended()) - fileName = staticData.GetParam("output-search-graph-extended")[0]; - else - fileName = staticData.GetParam("output-search-graph")[0]; - std::ofstream *file = new std::ofstream; - m_outputSearchGraphStream = file; - file->open(fileName.c_str()); - } - - // detailed translation reporting - if (staticData.IsDetailedTranslationReportingEnabled()) { - const std::string &path = staticData.GetDetailedTranslationReportingFilePath(); - m_detailedTranslationReportingStream = new std::ofstream(path.c_str()); - UTIL_THROW_IF(!m_detailedTranslationReportingStream->good(), - util::FileOpenException, - "File for output of detailed translation report could not be open"); - } - - // sentence alignment output - if (! staticData.GetAlignmentOutputFile().empty()) { - m_alignmentOutputStream = new ofstream(staticData.GetAlignmentOutputFile().c_str()); - UTIL_THROW_IF(!m_alignmentOutputStream->good(), - util::FileOpenException, - "File for output of word alignment could not be open"); - } - -} - -InputType* -IOWrapper:: -GetInput(InputType* inputType) -{ - if(inputType->Read(*m_inputStream, m_inputFactorOrder)) { - if (long x = inputType->GetTranslationId()) { - if (x>=m_translationId) m_translationId = x+1; - } else inputType->SetTranslationId(m_translationId++); - - return inputType; - } else { - delete inputType; - return NULL; - } -} - -std::map<size_t, const Factor*> GetPlaceholders(const Hypothesis &hypo, FactorType placeholderFactor) -{ - const InputPath &inputPath = hypo.GetTranslationOption().GetInputPath(); - const Phrase &inputPhrase = inputPath.GetPhrase(); - - std::map<size_t, const Factor*> ret; - - for (size_t sourcePos = 0; sourcePos < inputPhrase.GetSize(); ++sourcePos) { - const Factor *factor = inputPhrase.GetFactor(sourcePos, placeholderFactor); - if (factor) { - std::set<size_t> targetPos = hypo.GetTranslationOption().GetTargetPhrase().GetAlignTerm().GetAlignmentsForSource(sourcePos); - UTIL_THROW_IF2(targetPos.size() != 1, - "Placeholder should be aligned to 1, and only 1, word"); - ret[*targetPos.begin()] = factor; - } - } - - return ret; -} - -/*** - * print surface factor only for the given phrase - */ -void OutputSurface(std::ostream &out, const Hypothesis &edge, const std::vector<FactorType> &outputFactorOrder, - char reportSegmentation, bool reportAllFactors) -{ - UTIL_THROW_IF2(outputFactorOrder.size() == 0, - "Must specific at least 1 output factor"); - const TargetPhrase& phrase = edge.GetCurrTargetPhrase(); - bool markUnknown = StaticData::Instance().GetMarkUnknown(); - if (reportAllFactors == true) { - out << phrase; - } else { - FactorType placeholderFactor = StaticData::Instance().GetPlaceholderFactor(); - - std::map<size_t, const Factor*> placeholders; - if (placeholderFactor != NOT_FOUND) { - // creates map of target position -> factor for placeholders - placeholders = GetPlaceholders(edge, placeholderFactor); - } - - size_t size = phrase.GetSize(); - for (size_t pos = 0 ; pos < size ; pos++) { - const Factor *factor = phrase.GetFactor(pos, outputFactorOrder[0]); - - if (placeholders.size()) { - // do placeholders - std::map<size_t, const Factor*>::const_iterator iter = placeholders.find(pos); - if (iter != placeholders.end()) { - factor = iter->second; - } - } - - UTIL_THROW_IF2(factor == NULL, - "No factor 0 at position " << pos); - - //preface surface form with UNK if marking unknowns - const Word &word = phrase.GetWord(pos); - if(markUnknown && word.IsOOV()) { - out << "UNK" << *factor; - } else { - out << *factor; - } - - for (size_t i = 1 ; i < outputFactorOrder.size() ; i++) { - const Factor *factor = phrase.GetFactor(pos, outputFactorOrder[i]); - UTIL_THROW_IF2(factor == NULL, - "No factor " << i << " at position " << pos); - - out << "|" << *factor; - } - out << " "; - } - } - - // trace ("report segmentation") option "-t" / "-tt" - if (reportSegmentation > 0 && phrase.GetSize() > 0) { - const WordsRange &sourceRange = edge.GetCurrSourceWordsRange(); - const int sourceStart = sourceRange.GetStartPos(); - const int sourceEnd = sourceRange.GetEndPos(); - out << "|" << sourceStart << "-" << sourceEnd; // enriched "-tt" - if (reportSegmentation == 2) { - out << ",wa="; - const AlignmentInfo &ai = edge.GetCurrTargetPhrase().GetAlignTerm(); - OutputAlignment(out, ai, 0, 0); - out << ",total="; - out << edge.GetScore() - edge.GetPrevHypo()->GetScore(); - out << ","; - ScoreComponentCollection scoreBreakdown(edge.GetScoreBreakdown()); - scoreBreakdown.MinusEquals(edge.GetPrevHypo()->GetScoreBreakdown()); - OutputAllFeatureScores(scoreBreakdown, out); - } - out << "| "; - } -} - -void OutputBestSurface(std::ostream &out, const Hypothesis *hypo, const std::vector<FactorType> &outputFactorOrder, - char reportSegmentation, bool reportAllFactors) -{ - if (hypo != NULL) { - // recursively retrace this best path through the lattice, starting from the end of the hypothesis sentence - OutputBestSurface(out, hypo->GetPrevHypo(), outputFactorOrder, reportSegmentation, reportAllFactors); - OutputSurface(out, *hypo, outputFactorOrder, reportSegmentation, reportAllFactors); - } -} - -void OutputAlignment(ostream &out, const AlignmentInfo &ai, size_t sourceOffset, size_t targetOffset) -{ - typedef std::vector< const std::pair<size_t,size_t>* > AlignVec; - AlignVec alignments = ai.GetSortedAlignments(); - - AlignVec::const_iterator it; - for (it = alignments.begin(); it != alignments.end(); ++it) { - const std::pair<size_t,size_t> &alignment = **it; - out << alignment.first + sourceOffset << "-" << alignment.second + targetOffset << " "; - } - -} - -void OutputAlignment(ostream &out, const vector<const Hypothesis *> &edges) -{ - size_t targetOffset = 0; - - for (int currEdge = (int)edges.size() - 1 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - const TargetPhrase &tp = edge.GetCurrTargetPhrase(); - size_t sourceOffset = edge.GetCurrSourceWordsRange().GetStartPos(); - - OutputAlignment(out, tp.GetAlignTerm(), sourceOffset, targetOffset); - - targetOffset += tp.GetSize(); - } - out << std::endl; -} - -void OutputAlignment(std::ostream &out, const Moses::Hypothesis *hypo) -{ - std::vector<const Hypothesis *> edges; - const Hypothesis *currentHypo = hypo; - while (currentHypo) { - edges.push_back(currentHypo); - currentHypo = currentHypo->GetPrevHypo(); - } - - OutputAlignment(out, edges); - -} - -void OutputAlignment(OutputCollector* collector, size_t lineNo , const vector<const Hypothesis *> &edges) -{ - ostringstream out; - OutputAlignment(out, edges); - - collector->Write(lineNo,out.str()); -} - -void OutputAlignment(OutputCollector* collector, size_t lineNo , const Hypothesis *hypo) -{ - if (collector) { - std::vector<const Hypothesis *> edges; - const Hypothesis *currentHypo = hypo; - while (currentHypo) { - edges.push_back(currentHypo); - currentHypo = currentHypo->GetPrevHypo(); - } - - OutputAlignment(collector,lineNo, edges); - } -} - -void OutputAlignment(OutputCollector* collector, size_t lineNo , const TrellisPath &path) -{ - if (collector) { - OutputAlignment(collector,lineNo, path.GetEdges()); - } -} - -void OutputBestHypo(const Moses::TrellisPath &path, long /*translationId*/, char reportSegmentation, bool reportAllFactors, std::ostream &out) -{ - const std::vector<const Hypothesis *> &edges = path.GetEdges(); - - for (int currEdge = (int)edges.size() - 1 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - OutputSurface(out, edge, StaticData::Instance().GetOutputFactorOrder(), reportSegmentation, reportAllFactors); - } - out << endl; -} - -void IOWrapper::Backtrack(const Hypothesis *hypo) -{ - - if (hypo->GetPrevHypo() != NULL) { - VERBOSE(3,hypo->GetId() << " <= "); - Backtrack(hypo->GetPrevHypo()); - } -} - -void OutputBestHypo(const std::vector<Word>& mbrBestHypo, long /*translationId*/, char /*reportSegmentation*/, bool /*reportAllFactors*/, ostream& out) -{ - - for (size_t i = 0 ; i < mbrBestHypo.size() ; i++) { - const Factor *factor = mbrBestHypo[i].GetFactor(StaticData::Instance().GetOutputFactorOrder()[0]); - UTIL_THROW_IF2(factor == NULL, - "No factor 0 at position " << i); - if (i>0) out << " " << *factor; - else out << *factor; - } - out << endl; -} - - -void OutputInput(std::vector<const Phrase*>& map, const Hypothesis* hypo) -{ - if (hypo->GetPrevHypo()) { - OutputInput(map, hypo->GetPrevHypo()); - map[hypo->GetCurrSourceWordsRange().GetStartPos()] = &hypo->GetTranslationOption().GetInputPath().GetPhrase(); - } -} - -void OutputInput(std::ostream& os, const Hypothesis* hypo) -{ - size_t len = hypo->GetInput().GetSize(); - std::vector<const Phrase*> inp_phrases(len, 0); - OutputInput(inp_phrases, hypo); - for (size_t i=0; i<len; ++i) - if (inp_phrases[i]) os << *inp_phrases[i]; -} - -void IOWrapper::OutputBestHypo(const Hypothesis *hypo, long /*translationId*/, char reportSegmentation, bool reportAllFactors) -{ - if (hypo != NULL) { - VERBOSE(1,"BEST TRANSLATION: " << *hypo << endl); - VERBOSE(3,"Best path: "); - Backtrack(hypo); - VERBOSE(3,"0" << std::endl); - if (!m_surpressSingleBestOutput) { - if (StaticData::Instance().GetOutputHypoScore()) { - cout << hypo->GetTotalScore() << " "; - } - - if (StaticData::Instance().IsPathRecoveryEnabled()) { - OutputInput(cout, hypo); - cout << "||| "; - } - OutputBestSurface(cout, hypo, m_outputFactorOrder, reportSegmentation, reportAllFactors); - cout << endl; - } - } else { - VERBOSE(1, "NO BEST TRANSLATION" << endl); - if (!m_surpressSingleBestOutput) { - cout << endl; - } - } -} - -void OutputNBest(std::ostream& out - , const Moses::TrellisPathList &nBestList - , const std::vector<Moses::FactorType>& outputFactorOrder - , long translationId - , char reportSegmentation) -{ - const StaticData &staticData = StaticData::Instance(); - bool reportAllFactors = staticData.GetReportAllFactorsNBest(); - bool includeSegmentation = staticData.NBestIncludesSegmentation(); - bool includeWordAlignment = staticData.PrintAlignmentInfoInNbest(); - - TrellisPathList::const_iterator iter; - for (iter = nBestList.begin() ; iter != nBestList.end() ; ++iter) { - const TrellisPath &path = **iter; - const std::vector<const Hypothesis *> &edges = path.GetEdges(); - - // print the surface factor of the translation - out << translationId << " ||| "; - for (int currEdge = (int)edges.size() - 1 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - OutputSurface(out, edge, outputFactorOrder, reportSegmentation, reportAllFactors); - } - out << " |||"; - - // print scores with feature names - OutputAllFeatureScores(path.GetScoreBreakdown(), out ); - - // total - out << " ||| " << path.GetTotalScore(); - - //phrase-to-phrase segmentation - if (includeSegmentation) { - out << " |||"; - for (int currEdge = (int)edges.size() - 2 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - const WordsRange &sourceRange = edge.GetCurrSourceWordsRange(); - WordsRange targetRange = path.GetTargetWordsRange(edge); - out << " " << sourceRange.GetStartPos(); - if (sourceRange.GetStartPos() < sourceRange.GetEndPos()) { - out << "-" << sourceRange.GetEndPos(); - } - out<< "=" << targetRange.GetStartPos(); - if (targetRange.GetStartPos() < targetRange.GetEndPos()) { - out<< "-" << targetRange.GetEndPos(); - } - } - } - - if (includeWordAlignment) { - out << " ||| "; - for (int currEdge = (int)edges.size() - 2 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - const WordsRange &sourceRange = edge.GetCurrSourceWordsRange(); - WordsRange targetRange = path.GetTargetWordsRange(edge); - const int sourceOffset = sourceRange.GetStartPos(); - const int targetOffset = targetRange.GetStartPos(); - const AlignmentInfo &ai = edge.GetCurrTargetPhrase().GetAlignTerm(); - - OutputAlignment(out, ai, sourceOffset, targetOffset); - - } - } - - if (StaticData::Instance().IsPathRecoveryEnabled()) { - out << " ||| "; - OutputInput(out, edges[0]); - } - - out << endl; - } - - out << std::flush; -} - -void OutputAllFeatureScores(const Moses::ScoreComponentCollection &features - , std::ostream &out) -{ - std::string lastName = ""; - const vector<const StatefulFeatureFunction*>& sff = StatefulFeatureFunction::GetStatefulFeatureFunctions(); - for( size_t i=0; i<sff.size(); i++ ) { - const StatefulFeatureFunction *ff = sff[i]; - if (ff->GetScoreProducerDescription() != "BleuScoreFeature" - && ff->IsTuneable()) { - OutputFeatureScores( out, features, ff, lastName ); - } - } - const vector<const StatelessFeatureFunction*>& slf = StatelessFeatureFunction::GetStatelessFeatureFunctions(); - for( size_t i=0; i<slf.size(); i++ ) { - const StatelessFeatureFunction *ff = slf[i]; - if (ff->IsTuneable()) { - OutputFeatureScores( out, features, ff, lastName ); - } - } -} - -void OutputFeatureScores( std::ostream& out - , const ScoreComponentCollection &features - , const FeatureFunction *ff - , std::string &lastName ) -{ - const StaticData &staticData = StaticData::Instance(); - bool labeledOutput = staticData.IsLabeledNBestList(); - - // regular features (not sparse) - if (ff->GetNumScoreComponents() != 0) { - if( labeledOutput && lastName != ff->GetScoreProducerDescription() ) { - lastName = ff->GetScoreProducerDescription(); - out << " " << lastName << "="; - } - vector<float> scores = features.GetScoresForProducer( ff ); - for (size_t j = 0; j<scores.size(); ++j) { - out << " " << scores[j]; - } - } - - // sparse features - const FVector scores = features.GetVectorForProducer( ff ); - for(FVector::FNVmap::const_iterator i = scores.cbegin(); i != scores.cend(); i++) { - out << " " << i->first << "= " << i->second; - } -} - -void OutputLatticeMBRNBest(std::ostream& out, const vector<LatticeMBRSolution>& solutions,long translationId) -{ - for (vector<LatticeMBRSolution>::const_iterator si = solutions.begin(); si != solutions.end(); ++si) { - out << translationId; - out << " |||"; - const vector<Word> mbrHypo = si->GetWords(); - for (size_t i = 0 ; i < mbrHypo.size() ; i++) { - const Factor *factor = mbrHypo[i].GetFactor(StaticData::Instance().GetOutputFactorOrder()[0]); - if (i>0) out << " " << *factor; - else out << *factor; - } - out << " |||"; - out << " map: " << si->GetMapScore(); - out << " w: " << mbrHypo.size(); - const vector<float>& ngramScores = si->GetNgramScores(); - for (size_t i = 0; i < ngramScores.size(); ++i) { - out << " " << ngramScores[i]; - } - out << " ||| " << si->GetScore(); - - out << endl; - } -} - - -void IOWrapper::OutputLatticeMBRNBestList(const vector<LatticeMBRSolution>& solutions,long translationId) -{ - OutputLatticeMBRNBest(*m_nBestStream, solutions,translationId); -} - -bool ReadInput(IOWrapper &ioWrapper, InputTypeEnum inputType, InputType*& source) -{ - if (source) delete source; - switch(inputType) { - case SentenceInput: - source = ioWrapper.GetInput(new Sentence); - break; - case ConfusionNetworkInput: - source = ioWrapper.GetInput(new ConfusionNet); - break; - case WordLatticeInput: - source = ioWrapper.GetInput(new WordLattice); - break; - default: - TRACE_ERR("Unknown input type: " << inputType << "\n"); - source = NULL; - } - return (source ? true : false); -} - - - -IOWrapper *GetIOWrapper(const StaticData &staticData) -{ - IOWrapper *ioWrapper; - const std::vector<FactorType> &inputFactorOrder = staticData.GetInputFactorOrder() - ,&outputFactorOrder = staticData.GetOutputFactorOrder(); - FactorMask inputFactorUsed(inputFactorOrder); - - // io - if (staticData.GetParam("input-file").size() == 1) { - VERBOSE(2,"IO from File" << endl); - string filePath = staticData.GetParam("input-file")[0]; - - ioWrapper = new IOWrapper(inputFactorOrder, outputFactorOrder, inputFactorUsed - , staticData.GetNBestSize() - , staticData.GetNBestFilePath() - , filePath); - } else { - VERBOSE(1,"IO from STDOUT/STDIN" << endl); - ioWrapper = new IOWrapper(inputFactorOrder, outputFactorOrder, inputFactorUsed - , staticData.GetNBestSize() - , staticData.GetNBestFilePath()); - } - ioWrapper->ResetTranslationId(); - - IFVERBOSE(1) - PrintUserTime("Created input-output object"); - - return ioWrapper; -} - -} - diff --git a/moses-cmd/IOWrapper.h b/moses-cmd/IOWrapper.h deleted file mode 100644 index ed2537986..000000000 --- a/moses-cmd/IOWrapper.h +++ /dev/null @@ -1,164 +0,0 @@ -// $Id$ - -/*********************************************************************** -Moses - factored phrase-based language decoder -Copyright (c) 2006 University of Edinburgh -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, -are permitted provided that the following conditions are met: - - * Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - * Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - * Neither the name of the University of Edinburgh nor the names of its contributors - may be used to endorse or promote products derived from this software - without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, -THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR -PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS -BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR -CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF -SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS -INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER -IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) -ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE -POSSIBILITY OF SUCH DAMAGE. -***********************************************************************/ - -// example file on how to use moses library - -#ifndef moses_cmd_IOWrapper_h -#define moses_cmd_IOWrapper_h - -#include <cassert> -#include <fstream> -#include <ostream> -#include <vector> - -#include "moses/TypeDef.h" -#include "moses/Sentence.h" -#include "moses/FactorTypeSet.h" -#include "moses/FactorCollection.h" -#include "moses/Hypothesis.h" -#include "moses/OutputCollector.h" -#include "moses/TrellisPathList.h" -#include "moses/InputFileStream.h" -#include "moses/InputType.h" -#include "moses/WordLattice.h" -#include "moses/LatticeMBR.h" - -namespace Moses -{ -class ScoreComponentCollection; -class Hypothesis; -class Factor; -} - -namespace MosesCmd -{ - -/** Helper class that holds misc variables to write data out to command line. - */ -class IOWrapper -{ -protected: - long m_translationId; - - const std::vector<Moses::FactorType> &m_inputFactorOrder; - const std::vector<Moses::FactorType> &m_outputFactorOrder; - const Moses::FactorMask &m_inputFactorUsed; - std::string m_inputFilePath; - Moses::InputFileStream *m_inputFile; - std::istream *m_inputStream; - std::ostream *m_nBestStream - ,*m_outputWordGraphStream,*m_outputSearchGraphStream; - std::ostream *m_detailedTranslationReportingStream; - std::ofstream *m_alignmentOutputStream; - bool m_surpressSingleBestOutput; - - void Initialization(const std::vector<Moses::FactorType> &inputFactorOrder - , const std::vector<Moses::FactorType> &outputFactorOrder - , const Moses::FactorMask &inputFactorUsed - , size_t nBestSize - , const std::string &nBestFilePath); - - -public: - IOWrapper(const std::vector<Moses::FactorType> &inputFactorOrder - , const std::vector<Moses::FactorType> &outputFactorOrder - , const Moses::FactorMask &inputFactorUsed - , size_t nBestSize - , const std::string &nBestFilePath); - - IOWrapper(const std::vector<Moses::FactorType> &inputFactorOrder - , const std::vector<Moses::FactorType> &outputFactorOrder - , const Moses::FactorMask &inputFactorUsed - , size_t nBestSize - , const std::string &nBestFilePath - , const std::string &infilePath); - ~IOWrapper(); - - Moses::InputType* GetInput(Moses::InputType *inputType); - - void OutputBestHypo(const Moses::Hypothesis *hypo, long translationId, char reportSegmentation, bool reportAllFactors); - void OutputLatticeMBRNBestList(const std::vector<LatticeMBRSolution>& solutions,long translationId); - void Backtrack(const Moses::Hypothesis *hypo); - - void ResetTranslationId() { - m_translationId = 0; - } - - std::ofstream *GetAlignmentOutputStream() { - return m_alignmentOutputStream; - } - - std::ostream &GetOutputWordGraphStream() { - return *m_outputWordGraphStream; - } - std::ostream &GetOutputSearchGraphStream() { - return *m_outputSearchGraphStream; - } - - std::ostream &GetDetailedTranslationReportingStream() { - assert (m_detailedTranslationReportingStream); - return *m_detailedTranslationReportingStream; - } -}; - -IOWrapper *GetIOWrapper(const Moses::StaticData &staticData); -bool ReadInput(IOWrapper &ioWrapper, Moses::InputTypeEnum inputType, Moses::InputType*& source); -void OutputLanguageModelOrder(std::ostream &out, const Moses::Hypothesis *hypo, Moses::Manager &manager); -void OutputBestSurface(std::ostream &out, const Moses::Hypothesis *hypo, const std::vector<Moses::FactorType> &outputFactorOrder, char reportSegmentation, bool reportAllFactors); -void OutputLatticeMBRNBest(std::ostream& out, const std::vector<LatticeMBRSolution>& solutions,long translationId); -void OutputBestHypo(const std::vector<Moses::Word>& mbrBestHypo, long /*translationId*/, - char reportSegmentation, bool reportAllFactors, std::ostream& out); -void OutputBestHypo(const Moses::TrellisPath &path, long /*translationId*/,char reportSegmentation, bool reportAllFactors, std::ostream &out); -void OutputInput(std::ostream& os, const Moses::Hypothesis* hypo); -void OutputAlignment(Moses::OutputCollector* collector, size_t lineNo, const Moses::Hypothesis *hypo); -void OutputAlignment(Moses::OutputCollector* collector, size_t lineNo, const Moses::TrellisPath &path); -void OutputAlignment(std::ostream &out, const Moses::Hypothesis *hypo); -void OutputAlignment(std::ostream &out, const Moses::AlignmentInfo &ai, size_t sourceOffset, size_t targetOffset); - -void OutputNBest(std::ostream& out - , const Moses::TrellisPathList &nBestList - , const std::vector<Moses::FactorType>& outputFactorOrder - , long translationId - , char reportSegmentation); -void OutputAllFeatureScores(const Moses::ScoreComponentCollection &features - , std::ostream &out); -void OutputFeatureScores( std::ostream& out - , const Moses::ScoreComponentCollection &features - , const Moses::FeatureFunction *ff - , std::string &lastName ); - -// creates a map of TARGET positions which should be replaced by word using placeholder -std::map<size_t, const Moses::Factor*> GetPlaceholders(const Moses::Hypothesis &hypo, Moses::FactorType placeholderFactor); - -} - -#endif diff --git a/moses-cmd/Jamfile b/moses-cmd/Jamfile index 8d54e0515..7ee90850c 100644 --- a/moses-cmd/Jamfile +++ b/moses-cmd/Jamfile @@ -1,4 +1,4 @@ -alias deps : IOWrapper.cpp mbr.cpp ..//z ..//boost_iostreams ..//boost_filesystem ../moses//moses ; +alias deps : ..//z ..//boost_iostreams ..//boost_filesystem ../moses//moses ; exe moses : Main.cpp deps ; exe lmbrgrid : LatticeMBRGrid.cpp deps ; diff --git a/moses-cmd/LatticeMBRGrid.cpp b/moses-cmd/LatticeMBRGrid.cpp index 904275339..3573d0697 100644 --- a/moses-cmd/LatticeMBRGrid.cpp +++ b/moses-cmd/LatticeMBRGrid.cpp @@ -46,7 +46,7 @@ POSSIBILITY OF SUCH DAMAGE. #include <stdexcept> #include <set> -#include "IOWrapper.h" +#include "moses/IOWrapper.h" #include "moses/LatticeMBR.h" #include "moses/Manager.h" #include "moses/StaticData.h" diff --git a/moses-cmd/Main.cpp b/moses-cmd/Main.cpp index 713ded2e3..994837d4a 100644 --- a/moses-cmd/Main.cpp +++ b/moses-cmd/Main.cpp @@ -34,21 +34,18 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA //#include <vld.h> #endif -#include "moses/TranslationAnalysis.h" -#include "IOWrapper.h" -#include "mbr.h" - +#include "moses/IOWrapper.h" #include "moses/Hypothesis.h" #include "moses/HypergraphOutput.h" #include "moses/Manager.h" #include "moses/StaticData.h" +#include "moses/TypeDef.h" #include "moses/Util.h" #include "moses/Timer.h" -#include "moses/ThreadPool.h" -#include "moses/OutputCollector.h" #include "moses/TranslationModel/PhraseDictionary.h" #include "moses/FF/StatefulFeatureFunction.h" #include "moses/FF/StatelessFeatureFunction.h" +#include "moses/TranslationTask.h" #ifdef HAVE_PROTOBUF #include "hypergraph.pb.h" @@ -60,363 +57,6 @@ using namespace MosesCmd; namespace MosesCmd { -// output floats with five significant digits -static const size_t PRECISION = 3; - -/** Enforce rounding */ -void fix(std::ostream& stream, size_t size) -{ - stream.setf(std::ios::fixed); - stream.precision(size); -} - -/** Translates a sentence. - * - calls the search (Manager) - * - applies the decision rule - * - outputs best translation and additional reporting - **/ -class TranslationTask : public Task -{ - -public: - - TranslationTask(size_t lineNumber, - InputType* source, OutputCollector* outputCollector, OutputCollector* nbestCollector, - OutputCollector* latticeSamplesCollector, - OutputCollector* wordGraphCollector, OutputCollector* searchGraphCollector, - OutputCollector* detailedTranslationCollector, - OutputCollector* alignmentInfoCollector, - OutputCollector* unknownsCollector, - bool outputSearchGraphSLF, - boost::shared_ptr<HypergraphOutput<Manager> > hypergraphOutput) : - m_source(source), m_lineNumber(lineNumber), - m_outputCollector(outputCollector), m_nbestCollector(nbestCollector), - m_latticeSamplesCollector(latticeSamplesCollector), - m_wordGraphCollector(wordGraphCollector), m_searchGraphCollector(searchGraphCollector), - m_detailedTranslationCollector(detailedTranslationCollector), - m_alignmentInfoCollector(alignmentInfoCollector), - m_unknownsCollector(unknownsCollector), - m_outputSearchGraphSLF(outputSearchGraphSLF), - m_hypergraphOutput(hypergraphOutput) {} - - /** Translate one sentence - * gets called by main function implemented at end of this source file */ - void Run() { - // shorthand for "global data" - const StaticData &staticData = StaticData::Instance(); - - // input sentence - Sentence sentence; - - // report wall time spent on translation - Timer translationTime; - translationTime.start(); - - // report thread number -#if defined(WITH_THREADS) && defined(BOOST_HAS_PTHREADS) - TRACE_ERR("Translating line " << m_lineNumber << " in thread id " << pthread_self() << std::endl); -#endif - - - // execute the translation - // note: this executes the search, resulting in a search graph - // we still need to apply the decision rule (MAP, MBR, ...) - Timer initTime; - initTime.start(); - Manager manager(m_lineNumber, *m_source,staticData.GetSearchAlgorithm()); - VERBOSE(1, "Line " << m_lineNumber << ": Initialize search took " << initTime << " seconds total" << endl); - manager.ProcessSentence(); - - // we are done with search, let's look what we got - Timer additionalReportingTime; - additionalReportingTime.start(); - - // output word graph - if (m_wordGraphCollector) { - ostringstream out; - fix(out,PRECISION); - manager.GetWordGraph(m_lineNumber, out); - m_wordGraphCollector->Write(m_lineNumber, out.str()); - } - - // output search graph - if (m_searchGraphCollector) { - ostringstream out; - fix(out,PRECISION); - manager.OutputSearchGraph(m_lineNumber, out); - m_searchGraphCollector->Write(m_lineNumber, out.str()); - -#ifdef HAVE_PROTOBUF - if (staticData.GetOutputSearchGraphPB()) { - ostringstream sfn; - sfn << staticData.GetParam("output-search-graph-pb")[0] << '/' << m_lineNumber << ".pb" << ends; - string fn = sfn.str(); - VERBOSE(2, "Writing search graph to " << fn << endl); - fstream output(fn.c_str(), ios::trunc | ios::binary | ios::out); - manager.SerializeSearchGraphPB(m_lineNumber, output); - } -#endif - } - - // Output search graph in HTK standard lattice format (SLF) - if (m_outputSearchGraphSLF) { - stringstream fileName; - fileName << staticData.GetParam("output-search-graph-slf")[0] << "/" << m_lineNumber << ".slf"; - std::ofstream *file = new std::ofstream; - file->open(fileName.str().c_str()); - if (file->is_open() && file->good()) { - ostringstream out; - fix(out,PRECISION); - manager.OutputSearchGraphAsSLF(m_lineNumber, out); - *file << out.str(); - file -> flush(); - } else { - TRACE_ERR("Cannot output HTK standard lattice for line " << m_lineNumber << " because the output file is not open or not ready for writing" << std::endl); - } - delete file; - } - - // Output search graph in hypergraph format for Kenneth Heafield's lazy hypergraph decoder - if (m_hypergraphOutput.get()) { - m_hypergraphOutput->Write(manager); - } - - additionalReportingTime.stop(); - - // apply decision rule and output best translation(s) - if (m_outputCollector) { - ostringstream out; - ostringstream debug; - fix(debug,PRECISION); - - // all derivations - send them to debug stream - if (staticData.PrintAllDerivations()) { - additionalReportingTime.start(); - manager.PrintAllDerivations(m_lineNumber, debug); - additionalReportingTime.stop(); - } - - Timer decisionRuleTime; - decisionRuleTime.start(); - - // MAP decoding: best hypothesis - const Hypothesis* bestHypo = NULL; - if (!staticData.UseMBR()) { - bestHypo = manager.GetBestHypothesis(); - if (bestHypo) { - if (StaticData::Instance().GetOutputHypoScore()) { - out << bestHypo->GetTotalScore() << ' '; - } - if (staticData.IsPathRecoveryEnabled()) { - OutputInput(out, bestHypo); - out << "||| "; - } - if (staticData.GetParam("print-id").size() && Scan<bool>(staticData.GetParam("print-id")[0]) ) { - out << m_source->GetTranslationId() << " "; - } - - if (staticData.GetReportSegmentation() == 2) { - manager.GetOutputLanguageModelOrder(out, bestHypo); - } - OutputBestSurface( - out, - bestHypo, - staticData.GetOutputFactorOrder(), - staticData.GetReportSegmentation(), - staticData.GetReportAllFactors()); - if (staticData.PrintAlignmentInfo()) { - out << "||| "; - OutputAlignment(out, bestHypo); - } - - OutputAlignment(m_alignmentInfoCollector, m_lineNumber, bestHypo); - IFVERBOSE(1) { - debug << "BEST TRANSLATION: " << *bestHypo << endl; - } - } else { - VERBOSE(1, "NO BEST TRANSLATION" << endl); - } - - out << endl; - } - - // MBR decoding (n-best MBR, lattice MBR, consensus) - else { - // we first need the n-best translations - size_t nBestSize = staticData.GetMBRSize(); - if (nBestSize <= 0) { - cerr << "ERROR: negative size for number of MBR candidate translations not allowed (option mbr-size)" << endl; - exit(1); - } - TrellisPathList nBestList; - manager.CalcNBest(nBestSize, nBestList,true); - VERBOSE(2,"size of n-best: " << nBestList.GetSize() << " (" << nBestSize << ")" << endl); - IFVERBOSE(2) { - PrintUserTime("calculated n-best list for (L)MBR decoding"); - } - - // lattice MBR - if (staticData.UseLatticeMBR()) { - if (m_nbestCollector) { - //lattice mbr nbest - vector<LatticeMBRSolution> solutions; - size_t n = min(nBestSize, staticData.GetNBestSize()); - getLatticeMBRNBest(manager,nBestList,solutions,n); - ostringstream out; - OutputLatticeMBRNBest(out, solutions,m_lineNumber); - m_nbestCollector->Write(m_lineNumber, out.str()); - } else { - //Lattice MBR decoding - vector<Word> mbrBestHypo = doLatticeMBR(manager,nBestList); - OutputBestHypo(mbrBestHypo, m_lineNumber, staticData.GetReportSegmentation(), - staticData.GetReportAllFactors(),out); - IFVERBOSE(2) { - PrintUserTime("finished Lattice MBR decoding"); - } - } - } - - // consensus decoding - else if (staticData.UseConsensusDecoding()) { - const TrellisPath &conBestHypo = doConsensusDecoding(manager,nBestList); - OutputBestHypo(conBestHypo, m_lineNumber, - staticData.GetReportSegmentation(), - staticData.GetReportAllFactors(),out); - OutputAlignment(m_alignmentInfoCollector, m_lineNumber, conBestHypo); - IFVERBOSE(2) { - PrintUserTime("finished Consensus decoding"); - } - } - - // n-best MBR decoding - else { - const Moses::TrellisPath &mbrBestHypo = doMBR(nBestList); - OutputBestHypo(mbrBestHypo, m_lineNumber, - staticData.GetReportSegmentation(), - staticData.GetReportAllFactors(),out); - OutputAlignment(m_alignmentInfoCollector, m_lineNumber, mbrBestHypo); - IFVERBOSE(2) { - PrintUserTime("finished MBR decoding"); - } - } - } - - // report best translation to output collector - m_outputCollector->Write(m_lineNumber,out.str(),debug.str()); - - decisionRuleTime.stop(); - VERBOSE(1, "Line " << m_lineNumber << ": Decision rule took " << decisionRuleTime << " seconds total" << endl); - } - - additionalReportingTime.start(); - - // output n-best list - if (m_nbestCollector && !staticData.UseLatticeMBR()) { - TrellisPathList nBestList; - ostringstream out; - manager.CalcNBest(staticData.GetNBestSize(), nBestList,staticData.GetDistinctNBest()); - OutputNBest(out, nBestList, staticData.GetOutputFactorOrder(), m_lineNumber, - staticData.GetReportSegmentation()); - m_nbestCollector->Write(m_lineNumber, out.str()); - } - - //lattice samples - if (m_latticeSamplesCollector) { - TrellisPathList latticeSamples; - ostringstream out; - manager.CalcLatticeSamples(staticData.GetLatticeSamplesSize(), latticeSamples); - OutputNBest(out,latticeSamples, staticData.GetOutputFactorOrder(), m_lineNumber, - staticData.GetReportSegmentation()); - m_latticeSamplesCollector->Write(m_lineNumber, out.str()); - } - - // detailed translation reporting - if (m_detailedTranslationCollector) { - ostringstream out; - fix(out,PRECISION); - TranslationAnalysis::PrintTranslationAnalysis(out, manager.GetBestHypothesis()); - m_detailedTranslationCollector->Write(m_lineNumber,out.str()); - } - - //list of unknown words - if (m_unknownsCollector) { - const vector<const Phrase*>& unknowns = manager.getSntTranslationOptions()->GetUnknownSources(); - ostringstream out; - for (size_t i = 0; i < unknowns.size(); ++i) { - out << *(unknowns[i]); - } - out << endl; - m_unknownsCollector->Write(m_lineNumber, out.str()); - } - - // report additional statistics - manager.CalcDecoderStatistics(); - VERBOSE(1, "Line " << m_lineNumber << ": Additional reporting took " << additionalReportingTime << " seconds total" << endl); - VERBOSE(1, "Line " << m_lineNumber << ": Translation took " << translationTime << " seconds total" << endl); - IFVERBOSE(2) { - PrintUserTime("Sentence Decoding Time:"); - } - } - - ~TranslationTask() { - delete m_source; - } - -private: - InputType* m_source; - size_t m_lineNumber; - OutputCollector* m_outputCollector; - OutputCollector* m_nbestCollector; - OutputCollector* m_latticeSamplesCollector; - OutputCollector* m_wordGraphCollector; - OutputCollector* m_searchGraphCollector; - OutputCollector* m_detailedTranslationCollector; - OutputCollector* m_alignmentInfoCollector; - OutputCollector* m_unknownsCollector; - bool m_outputSearchGraphSLF; - boost::shared_ptr<HypergraphOutput<Manager> > m_hypergraphOutput; - std::ofstream *m_alignmentStream; - - -}; - -static void PrintFeatureWeight(const FeatureFunction* ff) -{ - cout << ff->GetScoreProducerDescription() << "="; - size_t numScoreComps = ff->GetNumScoreComponents(); - vector<float> values = StaticData::Instance().GetAllWeights().GetScoresForProducer(ff); - for (size_t i = 0; i < numScoreComps; ++i) { - cout << " " << values[i]; - } - cout << endl; -} - -static void ShowWeights() -{ - //TODO: Find a way of ensuring this order is synced with the nbest - fix(cout,6); - const vector<const StatelessFeatureFunction*>& slf = StatelessFeatureFunction::GetStatelessFeatureFunctions(); - const vector<const StatefulFeatureFunction*>& sff = StatefulFeatureFunction::GetStatefulFeatureFunctions(); - - for (size_t i = 0; i < sff.size(); ++i) { - const StatefulFeatureFunction *ff = sff[i]; - if (ff->IsTuneable()) { - PrintFeatureWeight(ff); - } - else { - cout << ff->GetScoreProducerDescription() << " UNTUNEABLE" << endl; - } - } - for (size_t i = 0; i < slf.size(); ++i) { - const StatelessFeatureFunction *ff = slf[i]; - if (ff->IsTuneable()) { - PrintFeatureWeight(ff); - } - else { - cout << ff->GetScoreProducerDescription() << " UNTUNEABLE" << endl; - } - } -} void OutputFeatureWeightsForHypergraph(std::ostream &outputSearchGraphStream) { @@ -476,7 +116,7 @@ int main(int argc, char** argv) srand(time(NULL)); // set up read/writing class - IOWrapper* ioWrapper = GetIOWrapper(staticData); + IOWrapper* ioWrapper = IOWrapper::GetIOWrapper(staticData); if (!ioWrapper) { cerr << "Error; Failed to create IO object" << endl; exit(1); @@ -494,89 +134,6 @@ int main(int argc, char** argv) hypergraphOutput.reset(new HypergraphOutput<Manager>(PRECISION)); } - - // initialize output streams - // note: we can't just write to STDOUT or files - // because multithreading may return sentences in shuffled order - auto_ptr<OutputCollector> outputCollector; // for translations - auto_ptr<OutputCollector> nbestCollector; // for n-best lists - auto_ptr<OutputCollector> latticeSamplesCollector; //for lattice samples - auto_ptr<ofstream> nbestOut; - auto_ptr<ofstream> latticeSamplesOut; - size_t nbestSize = staticData.GetNBestSize(); - string nbestFile = staticData.GetNBestFilePath(); - bool output1best = true; - if (nbestSize) { - if (nbestFile == "-" || nbestFile == "/dev/stdout") { - // nbest to stdout, no 1-best - nbestCollector.reset(new OutputCollector()); - output1best = false; - } else { - // nbest to file, 1-best to stdout - nbestOut.reset(new ofstream(nbestFile.c_str())); - if (!nbestOut->good()) { - TRACE_ERR("ERROR: Failed to open " << nbestFile << " for nbest lists" << endl); - exit(1); - } - nbestCollector.reset(new OutputCollector(nbestOut.get())); - } - } - size_t latticeSamplesSize = staticData.GetLatticeSamplesSize(); - string latticeSamplesFile = staticData.GetLatticeSamplesFilePath(); - if (latticeSamplesSize) { - if (latticeSamplesFile == "-" || latticeSamplesFile == "/dev/stdout") { - latticeSamplesCollector.reset(new OutputCollector()); - output1best = false; - } else { - latticeSamplesOut.reset(new ofstream(latticeSamplesFile.c_str())); - if (!latticeSamplesOut->good()) { - TRACE_ERR("ERROR: Failed to open " << latticeSamplesFile << " for lattice samples" << endl); - exit(1); - } - latticeSamplesCollector.reset(new OutputCollector(latticeSamplesOut.get())); - } - } - if (output1best) { - outputCollector.reset(new OutputCollector()); - } - - // initialize stream for word graph (aka: output lattice) - auto_ptr<OutputCollector> wordGraphCollector; - if (staticData.GetOutputWordGraph()) { - wordGraphCollector.reset(new OutputCollector(&(ioWrapper->GetOutputWordGraphStream()))); - } - - // initialize stream for search graph - // note: this is essentially the same as above, but in a different format - auto_ptr<OutputCollector> searchGraphCollector; - if (staticData.GetOutputSearchGraph()) { - searchGraphCollector.reset(new OutputCollector(&(ioWrapper->GetOutputSearchGraphStream()))); - } - - // initialize stram for details about the decoder run - auto_ptr<OutputCollector> detailedTranslationCollector; - if (staticData.IsDetailedTranslationReportingEnabled()) { - detailedTranslationCollector.reset(new OutputCollector(&(ioWrapper->GetDetailedTranslationReportingStream()))); - } - - // initialize stram for word alignment between input and output - auto_ptr<OutputCollector> alignmentInfoCollector; - if (!staticData.GetAlignmentOutputFile().empty()) { - alignmentInfoCollector.reset(new OutputCollector(ioWrapper->GetAlignmentOutputStream())); - } - - //initialise stream for unknown (oov) words - auto_ptr<OutputCollector> unknownsCollector; - auto_ptr<ofstream> unknownsStream; - if (!staticData.GetOutputUnknownsFile().empty()) { - unknownsStream.reset(new ofstream(staticData.GetOutputUnknownsFile().c_str())); - if (!unknownsStream->good()) { - TRACE_ERR("Unable to open " << staticData.GetOutputUnknownsFile() << " for unknowns"); - exit(1); - } - unknownsCollector.reset(new OutputCollector(unknownsStream.get())); - } - #ifdef WITH_THREADS ThreadPool pool(staticData.ThreadCount()); #endif @@ -593,14 +150,7 @@ int main(int argc, char** argv) // set up task of translating one sentence TranslationTask* task = - new TranslationTask(lineCount,source, outputCollector.get(), - nbestCollector.get(), - latticeSamplesCollector.get(), - wordGraphCollector.get(), - searchGraphCollector.get(), - detailedTranslationCollector.get(), - alignmentInfoCollector.get(), - unknownsCollector.get(), + new TranslationTask(lineCount,source, *ioWrapper, staticData.GetOutputSearchGraphSLF(), hypergraphOutput); // execute task diff --git a/moses-cmd/mbr.cpp b/moses-cmd/mbr.cpp deleted file mode 100644 index 6a8dfa823..000000000 --- a/moses-cmd/mbr.cpp +++ /dev/null @@ -1,178 +0,0 @@ -#include <iostream> -#include <fstream> -#include <sstream> -#include <iomanip> -#include <vector> -#include <map> -#include <stdlib.h> -#include <math.h> -#include <algorithm> -#include <stdio.h> -#include "moses/TrellisPathList.h" -#include "moses/TrellisPath.h" -#include "moses/StaticData.h" -#include "moses/Util.h" -#include "mbr.h" - -using namespace std ; -using namespace Moses; - - -/* Input : - 1. a sorted n-best list, with duplicates filtered out in the following format - 0 ||| amr moussa is currently on a visit to libya , tomorrow , sunday , to hold talks with regard to the in sudan . ||| 0 -4.94418 0 0 -2.16036 0 0 -81.4462 -106.593 -114.43 -105.55 -12.7873 -26.9057 -25.3715 -52.9336 7.99917 -24 ||| -4.58432 - - 2. a weight vector - 3. bleu order ( default = 4) - 4. scaling factor to weigh the weight vector (default = 1.0) - - Output : - translations that minimise the Bayes Risk of the n-best list - - -*/ - -int BLEU_ORDER = 4; -int SMOOTH = 1; -float min_interval = 1e-4; -void extract_ngrams(const vector<const Factor* >& sentence, map < vector < const Factor* >, int > & allngrams) -{ - vector< const Factor* > ngram; - for (int k = 0; k < BLEU_ORDER; k++) { - for(int i =0; i < max((int)sentence.size()-k,0); i++) { - for ( int j = i; j<= i+k; j++) { - ngram.push_back(sentence[j]); - } - ++allngrams[ngram]; - ngram.clear(); - } - } -} - -float calculate_score(const vector< vector<const Factor*> > & sents, int ref, int hyp, vector < map < vector < const Factor *>, int > > & ngram_stats ) -{ - int comps_n = 2*BLEU_ORDER+1; - vector<int> comps(comps_n); - float logbleu = 0.0, brevity; - - int hyp_length = sents[hyp].size(); - - for (int i =0; i<BLEU_ORDER; i++) { - comps[2*i] = 0; - comps[2*i+1] = max(hyp_length-i,0); - } - - map< vector < const Factor * > ,int > & hyp_ngrams = ngram_stats[hyp] ; - map< vector < const Factor * >, int > & ref_ngrams = ngram_stats[ref] ; - - for (map< vector< const Factor * >, int >::iterator it = hyp_ngrams.begin(); - it != hyp_ngrams.end(); it++) { - map< vector< const Factor * >, int >::iterator ref_it = ref_ngrams.find(it->first); - if(ref_it != ref_ngrams.end()) { - comps[2* (it->first.size()-1)] += min(ref_it->second,it->second); - } - } - comps[comps_n-1] = sents[ref].size(); - - for (int i=0; i<BLEU_ORDER; i++) { - if (comps[0] == 0) - return 0.0; - if ( i > 0 ) - logbleu += log((float)comps[2*i]+SMOOTH)-log((float)comps[2*i+1]+SMOOTH); - else - logbleu += log((float)comps[2*i])-log((float)comps[2*i+1]); - } - logbleu /= BLEU_ORDER; - brevity = 1.0-(float)comps[comps_n-1]/comps[1]; // comps[comps_n-1] is the ref length, comps[1] is the test length - if (brevity < 0.0) - logbleu += brevity; - return exp(logbleu); -} - -const TrellisPath doMBR(const TrellisPathList& nBestList) -{ - float marginal = 0; - - vector<float> joint_prob_vec; - vector< vector<const Factor*> > translations; - float joint_prob; - vector< map < vector <const Factor *>, int > > ngram_stats; - - TrellisPathList::const_iterator iter; - - // get max score to prevent underflow - float maxScore = -1e20; - for (iter = nBestList.begin() ; iter != nBestList.end() ; ++iter) { - const TrellisPath &path = **iter; - float score = StaticData::Instance().GetMBRScale() - * path.GetScoreBreakdown().GetWeightedScore(); - if (maxScore < score) maxScore = score; - } - - for (iter = nBestList.begin() ; iter != nBestList.end() ; ++iter) { - const TrellisPath &path = **iter; - joint_prob = UntransformScore(StaticData::Instance().GetMBRScale() * path.GetScoreBreakdown().GetWeightedScore() - maxScore); - marginal += joint_prob; - joint_prob_vec.push_back(joint_prob); - - // get words in translation - vector<const Factor*> translation; - GetOutputFactors(path, translation); - - // collect n-gram counts - map < vector < const Factor *>, int > counts; - extract_ngrams(translation,counts); - - ngram_stats.push_back(counts); - translations.push_back(translation); - } - - vector<float> mbr_loss; - float bleu, weightedLoss; - float weightedLossCumul = 0; - float minMBRLoss = 1000000; - int minMBRLossIdx = -1; - - /* Main MBR computation done here */ - iter = nBestList.begin(); - for (unsigned int i = 0; i < nBestList.GetSize(); i++) { - weightedLossCumul = 0; - for (unsigned int j = 0; j < nBestList.GetSize(); j++) { - if ( i != j) { - bleu = calculate_score(translations, j, i,ngram_stats ); - weightedLoss = ( 1 - bleu) * ( joint_prob_vec[j]/marginal); - weightedLossCumul += weightedLoss; - if (weightedLossCumul > minMBRLoss) - break; - } - } - if (weightedLossCumul < minMBRLoss) { - minMBRLoss = weightedLossCumul; - minMBRLossIdx = i; - } - iter++; - } - /* Find sentence that minimises Bayes Risk under 1- BLEU loss */ - return nBestList.at(minMBRLossIdx); - //return translations[minMBRLossIdx]; -} - -void GetOutputFactors(const TrellisPath &path, vector <const Factor*> &translation) -{ - const std::vector<const Hypothesis *> &edges = path.GetEdges(); - const std::vector<FactorType>& outputFactorOrder = StaticData::Instance().GetOutputFactorOrder(); - assert (outputFactorOrder.size() == 1); - - // print the surface factor of the translation - for (int currEdge = (int)edges.size() - 1 ; currEdge >= 0 ; currEdge--) { - const Hypothesis &edge = *edges[currEdge]; - const Phrase &phrase = edge.GetCurrTargetPhrase(); - size_t size = phrase.GetSize(); - for (size_t pos = 0 ; pos < size ; pos++) { - - const Factor *factor = phrase.GetFactor(pos, outputFactorOrder[0]); - translation.push_back(factor); - } - } -} - diff --git a/moses-cmd/mbr.h b/moses-cmd/mbr.h deleted file mode 100644 index d08b11a98..000000000 --- a/moses-cmd/mbr.h +++ /dev/null @@ -1,28 +0,0 @@ -// $Id$ - -/*********************************************************************** -Moses - factored phrase-based language decoder -Copyright (C) 2006 University of Edinburgh - -This library is free software; you can redistribute it and/or -modify it under the terms of the GNU Lesser General Public -License as published by the Free Software Foundation; either -version 2.1 of the License, or (at your option) any later version. - -This library 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 -Lesser General Public License for more details. - -You should have received a copy of the GNU Lesser General Public -License along with this library; if not, write to the Free Software -Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA -***********************************************************************/ - -#ifndef moses_cmd_mbr_h -#define moses_cmd_mbr_h - -const Moses::TrellisPath doMBR(const Moses::TrellisPathList& nBestList); -void GetOutputFactors(const Moses::TrellisPath &path, std::vector <const Moses::Factor*> &translation); -float calculate_score(const std::vector< std::vector<const Moses::Factor*> > & sents, int ref, int hyp, std::vector < std::map < std::vector < const Moses::Factor *>, int > > & ngram_stats ); -#endif |