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https://github.com/moses-smt/mosesdecoder.git
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99 lines
2.5 KiB
C++
99 lines
2.5 KiB
C++
/*
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* KENLM.h
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*
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* Created on: 4 Nov 2015
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* Author: hieu
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*/
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#ifndef FF_LM_KENLM_H_
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#define FF_LM_KENLM_H_
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#include <boost/shared_ptr.hpp>
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#include "../FF/StatefulFeatureFunction.h"
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#include "lm/model.hh"
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#include "../legacy/Factor.h"
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#include "../legacy/Util2.h"
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#include "../Word.h"
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namespace Moses2
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{
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class Word;
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class KENLM : public StatefulFeatureFunction
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{
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public:
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KENLM(size_t startInd, const std::string &line);
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virtual ~KENLM();
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virtual void Load(System &system);
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virtual FFState* BlankState(MemPool &pool) const;
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//! return the state associated with the empty hypothesis for a given sentence
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virtual void EmptyHypothesisState(FFState &state,
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const Manager &mgr,
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const InputType &input,
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const Hypothesis &hypo) const;
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virtual void
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EvaluateInIsolation(MemPool &pool,
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const System &system,
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const Phrase &source,
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const TargetPhrase &targetPhrase,
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Scores &scores,
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SCORE *estimatedScore) const;
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virtual void EvaluateWhenApplied(const Manager &mgr,
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const Hypothesis &hypo,
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const FFState &prevState,
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Scores &scores,
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FFState &state) const;
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/*
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virtual void EvaluateWhenAppliedNonBatch(const Manager &mgr,
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const Hypothesis &hypo,
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const FFState &prevState,
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Scores &scores,
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FFState &state) const
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{
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EvaluateWhenApplied(mgr, hypo, prevState, scores, state);
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}
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*/
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void SetParameter(const std::string& key, const std::string& value);
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virtual void InitializeForInput(const Manager &mgr) const;
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// clean up temporary memory, called after processing each sentence
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virtual void CleanUpAfterSentenceProcessing(const Manager &mgr) const;
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protected:
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std::string m_path;
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FactorType m_factorType;
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bool m_lazy;
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const Factor *m_bos;
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const Factor *m_eos;
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typedef lm::ngram::ProbingModel Model;
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boost::shared_ptr<Model> m_ngram;
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void CalcScore(const Phrase &phrase, float &fullScore, float &ngramScore, std::size_t &oovCount) const;
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inline lm::WordIndex TranslateID(const Word &word) const
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{
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std::size_t factor = word[m_factorType]->GetId();
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return (factor >= m_lmIdLookup.size() ? 0 : m_lmIdLookup[factor]);
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}
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// Convert last words of hypothesis into vocab ids, returning an end pointer.
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lm::WordIndex *LastIDs(const Hypothesis &hypo, lm::WordIndex *indices) const;
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std::vector<lm::WordIndex> m_lmIdLookup;
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float ScoreAndCache(const Manager &mgr, const lm::ngram::State &in_state, const lm::WordIndex new_word, lm::ngram::State &out_state) const;
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};
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}
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#endif /* FF_LM_KENLM_H_ */
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