mirror of
https://github.com/moses-smt/mosesdecoder.git
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312 lines
8.4 KiB
C++
312 lines
8.4 KiB
C++
//
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#ifndef moses_SyntacticLanguageModelState_h
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#define moses_SyntacticLanguageModelState_h
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#include "nl-iomacros.h"
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#include "nl-cpt.h"
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#include "nl-hmm.h"
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#include "SyntacticLanguageModelFiles.h"
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#include "moses/FF/FFState.h"
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#include <string>
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namespace Moses
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{
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template <class MY, class MX, class YS=typename MY::RandVarType, class B=NullBackDat<typename MY::RandVarType> >
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class SyntacticLanguageModelState : public FFState
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{
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public:
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// Initialize an empty LM state
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SyntacticLanguageModelState( SyntacticLanguageModelFiles<MY,MX>* modelData, int beamSize );
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// Get the next LM state from an existing LM state and the next word
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SyntacticLanguageModelState( const SyntacticLanguageModelState* prev, std::string word );
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~SyntacticLanguageModelState() {
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VERBOSE(3,"Destructing SyntacticLanguageModelState" << std::endl);
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delete randomVariableStore;
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}
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virtual int Compare(const FFState& other) const;
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// Get the LM score from this LM state
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double getScore() const;
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double getProb() const;
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private:
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void setScore(double score);
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void printRV();
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SafeArray1D<Id<int>,pair<YS,LogProb> >* randomVariableStore;
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double prob;
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double score;
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int beamSize;
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SyntacticLanguageModelFiles<MY,MX>* modelData;
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bool sentenceStart;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <class MY, class MX, class YS, class B>
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void SyntacticLanguageModelState<MY,MX,YS,B>::printRV()
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{
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cerr << "*********** BEGIN printRV() ******************" << endl;
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int size=randomVariableStore->getSize();
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cerr << "randomVariableStore->getSize() == " << size << endl;
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for (int depth=0; depth<size; depth+=1) {
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const pair<YS,LogProb> *data = &(randomVariableStore->get(depth));
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std::cerr << "randomVariableStore[" << depth << "]\t" << data->first << "\tprob = " << data->second.toProb() << "\tlogProb = " << double(data->second.toInt())/100 << std::endl;
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}
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cerr << "*********** END printRV() ******************" << endl;
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}
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// Initialize an empty LM state from grammar files
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//
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// nArgs is the number of model files
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// argv is the list of model file names
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//
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template <class MY, class MX, class YS, class B>
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SyntacticLanguageModelState<MY,MX,YS,B>::SyntacticLanguageModelState( SyntacticLanguageModelFiles<MY,MX>* modelData, int beamSize )
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{
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this->randomVariableStore = new SafeArray1D<Id<int>,pair<YS,LogProb> >();
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this->modelData = modelData;
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this->beamSize = beamSize;
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// Initialize an empty random variable value
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YS xBEG;
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StringInput(String(BEG_STATE).c_array())>>xBEG>>"\0";
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cerr<<xBEG<<"\n";
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// cout << "Examining RV store just before RV init" << endl;
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//printRV();
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// Initialize the random variable store
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this->randomVariableStore->init(1,pair<YS,LogProb>(xBEG,0));
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this->sentenceStart = true;
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IFVERBOSE(3) {
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VERBOSE(3,"Examining RV store just after RV init" << endl);
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printRV();
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}
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// Get score of final frame in HHMM
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LogProb l(1.0);
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//score = l.toDouble();
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setScore(l.toDouble());
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// MY::F_ROOT_OBS = true;
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// this->modelData->getHiddenModel()->setRootObs(true);
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}
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template <class MY, class MX, class YS, class B>
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int SyntacticLanguageModelState<MY,MX,YS,B>::Compare(const FFState& other) const
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{
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/*
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const SyntacticLanguageModelState<MY,MX,YS,B>& o =
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static_cast<const SyntacticLanguageModelState<MY,MX,YS,B>&>(other);
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if (o.score > score) return 1;
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else if (o.score < score) return -1;
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else return 0;
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*/
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return 0;
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}
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template <class MY, class MX, class YS, class B>
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SyntacticLanguageModelState<MY,MX,YS,B>::SyntacticLanguageModelState( const SyntacticLanguageModelState* prev, std::string word )
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{
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// Initialize member variables
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this->randomVariableStore = new SafeArray1D<Id<int>,pair<YS,LogProb> >();
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this->modelData = prev->modelData;
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this->beamSize = prev->beamSize;
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this->randomVariableStore->init(this->beamSize);
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this->sentenceStart=false;
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YS ysEND;
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StringInput(String(END_STATE).c_array())>>ysEND>>"\0";
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// Get HHMM model files
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MY& mH = *(modelData->getHiddenModel());
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MX& mO = *(modelData->getObservedModel());
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// Initialize HHMM
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HMM<MY,MX,YS,B> hmm(mH,mO);
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int MAX_WORDS = 2;
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hmm.init(MAX_WORDS,this->beamSize,prev->randomVariableStore);
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typename MX::RandVarType x(word.c_str());
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// cout << "Examining HHMM just after hmm.init" << endl;
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// hmm.debugPrint();
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/* cerr << "*********** BEGIN writeCurr() ******************" << endl;
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hmm.writeCurr(cout,0);
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hmm.writeCurr(cout,1);
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cerr << "*********** END writeCurr() ******************" << endl;
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*/
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/*
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{
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int wnum=1;
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list<TrellNode<YS,B> > lys = hmm.getMLSnodes(ysEND); // get mls list
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for ( typename list<TrellNode<YS,B> >::iterator i=lys.begin(); i!=lys.end(); i++, wnum++ ) { // for each frame
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cout << "HYPOTH " << wnum
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<< " " << i->getBackData()
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<< " " << x
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<< " " << i->getId()
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<< " (" << i->getLogProb() << ")"
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<< endl; // print RV val
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}
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}
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*/
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/*
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cerr << "Writing hmm.writeCurr" << endl;
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hmm.writeCurr(cerr,0);
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hmm.writeCurr(cerr,1);
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cerr << "...done writing hmm.writeCurr" << endl;
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*/
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hmm.getCurrSum();
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// Initialize observed variable
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// typename MX::RandVarType ov;
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// ov.set(word.c_str(),mO);
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// MY::WORD = ov.getW();
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//bool endOfSentence = prev->sentenceStart;//true;
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// std::cerr << "About to give HHMM a word of input:\t" << word << std::endl;
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hmm.updateRanked(x, prev->sentenceStart);
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// cout << "Examining HHMM just after hmm.updateRanked(" << x << "," << prev->sentenceStart << ")" << endl;
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// hmm.debugPrint();
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/*
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cerr << "*********** BEGIN writeCurr() ******************" << endl;
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hmm.writeCurr(cout,0);
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hmm.writeCurr(cout,1);
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cerr << "*********** END writeCurr() ******************" << endl;
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*/
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/*
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{
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int wnum=1;
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list<TrellNode<YS,B> > lys = hmm.getMLSnodes(ysEND); // get mls list
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for ( typename list<TrellNode<YS,B> >::iterator i=lys.begin(); i!=lys.end(); i++, wnum++ ) { // for each frame
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cout << "HYPOTH " << wnum
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<< " " << i->getBackData()
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<< " " << x
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<< " " << i->getId()
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<< " (" << i->getLogProb() << ")"
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<< endl; // print RV val
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}
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}
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*/
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// X ov(word.c_str());
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//mH.setWord(ov);
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// MY::WORD = ov;//ov.getW();
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// Update HHMM based on observed variable
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//hmm.updateRanked(ov);
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//mH.setRootObs(true);
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//MY::F_ROOT_OBS = false;
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// Get the current score
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double currSum = hmm.getCurrSum();
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//VERBOSE(3,"Setting score using currSum for " << scientific << x << " = " << currSum << endl);
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setScore(currSum);
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// cout << "Examining RV store just before RV init via gatherElementsInBeam" << endl;
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// printRV();
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// Get new hidden random variable store from HHMM
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hmm.gatherElementsInBeam(randomVariableStore);
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// cout << "Examining RV store just after RV init via gatherElementsInBeam" << endl;
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// printRV();
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/*
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cerr << "Writing hmm.writeCurr..." << endl;
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hmm.writeCurr(cerr,0);
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hmm.writeCurr(cerr,1);
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cerr << "...done writing hmm.writeCurr" << endl;
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*/
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}
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template <class MY, class MX, class YS, class B>
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double SyntacticLanguageModelState<MY,MX,YS,B>::getProb() const
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{
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return prob;
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}
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template <class MY, class MX, class YS, class B>
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double SyntacticLanguageModelState<MY,MX,YS,B>::getScore() const
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{
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return score;
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}
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template <class MY, class MX, class YS, class B>
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void SyntacticLanguageModelState<MY,MX,YS,B>::setScore(double score)
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{
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this->prob = score;
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// We want values to range from -100 to 0
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//
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// If the minimum positive value for a double is min=4.94065645841246544e-324
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// then to scale, we want a logarithmic base such that log_b(min)=-100
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//
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// -100 = log(min) / log(b)
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//
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// log(b) = log(min) / -100
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//
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// b = exp( log(min) / -100 )
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//
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// b = 7.44440071921381
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// Check for score==0 to avoid causing -infinity with log(score)
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if (score==0) {
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this->score = -100;
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} else {
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double x = log(score) / 7.44440071921381;
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if ( x >= -100) {
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this->score = x;
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} else {
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this->score = -100;
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}
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}
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VERBOSE(3,"\tSyntacticLanguageModelState has score=" << this->score << endl);
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}
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}
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#endif
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