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103 lines
3.1 KiB
C++
103 lines
3.1 KiB
C++
#ifndef moses_GlobalLexicalModel_h
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#define moses_GlobalLexicalModel_h
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#include <stdexcept>
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#include <string>
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#include <vector>
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#include <memory>
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#include "StatelessFeatureFunction.h"
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#include "moses/Factor.h"
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#include "moses/Phrase.h"
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#include "moses/TypeDef.h"
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#include "moses/Util.h"
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#include "moses/Range.h"
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#include "moses/FactorTypeSet.h"
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#include "moses/Sentence.h"
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#ifdef WITH_THREADS
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#include <boost/thread/tss.hpp>
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#endif
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namespace Moses
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{
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class Factor;
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class Phrase;
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class Hypothesis;
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class InputType;
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/** Discriminatively trained global lexicon model
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* This is a implementation of Mauser et al., 2009's model that predicts
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* each output word from _all_ the input words. The intuition behind this
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* feature is that it uses context words for disambiguation
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*/
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class GlobalLexicalModel : public StatelessFeatureFunction
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{
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typedef boost::unordered_map< const Word*,
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boost::unordered_map< const Word*, float, UnorderedComparer<Word> , UnorderedComparer<Word> >,
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UnorderedComparer<Word>, UnorderedComparer<Word> > DoubleHash;
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typedef boost::unordered_map< const Word*, float, UnorderedComparer<Word>, UnorderedComparer<Word> > SingleHash;
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typedef std::map< const TargetPhrase*, float > LexiconCache;
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struct ThreadLocalStorage {
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LexiconCache cache;
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const Sentence *input;
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};
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private:
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DoubleHash m_hash;
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#ifdef WITH_THREADS
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boost::thread_specific_ptr<ThreadLocalStorage> m_local;
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#else
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std::auto_ptr<ThreadLocalStorage> m_local;
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#endif
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Word *m_bias;
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FactorMask m_inputFactors, m_outputFactors;
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std::vector<FactorType> m_inputFactorsVec, m_outputFactorsVec;
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std::string m_filePath;
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void Load(AllOptions::ptr const& opts);
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float ScorePhrase( const TargetPhrase& targetPhrase ) const;
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float GetFromCacheOrScorePhrase( const TargetPhrase& targetPhrase ) const;
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public:
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GlobalLexicalModel(const std::string &line);
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virtual ~GlobalLexicalModel();
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void SetParameter(const std::string& key, const std::string& value);
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void InitializeForInput(ttasksptr const& ttask);
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bool IsUseable(const FactorMask &mask) const;
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void EvaluateInIsolation(const Phrase &source
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, const TargetPhrase &targetPhrase
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, ScoreComponentCollection &scoreBreakdown
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, ScoreComponentCollection &estimatedScores) const {
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}
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void EvaluateWhenApplied(const Hypothesis& hypo,
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ScoreComponentCollection* accumulator) const {
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}
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void EvaluateWhenApplied(const ChartHypothesis &hypo,
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ScoreComponentCollection* accumulator) const {
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}
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void EvaluateWithSourceContext(const InputType &input
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, const InputPath &inputPath
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, const TargetPhrase &targetPhrase
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, const StackVec *stackVec
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, ScoreComponentCollection &scoreBreakdown
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, ScoreComponentCollection *estimatedScores = NULL) const;
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void EvaluateTranslationOptionListWithSourceContext(const InputType &input
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, const TranslationOptionList &translationOptionList) const {
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}
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};
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}
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#endif
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