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67 lines
1.8 KiB
C++
67 lines
1.8 KiB
C++
#ifndef moses_TargetBigramFeature_h
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#define moses_TargetBigramFeature_h
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#include <string>
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#include <map>
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#include <boost/unordered_set.hpp>
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#include "FactorCollection.h"
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#include "FeatureFunction.h"
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#include "FFState.h"
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#include "Word.h"
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namespace Moses
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{
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class TargetBigramState : public FFState {
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public:
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TargetBigramState(const Word& word): m_word(word) {}
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const Word& GetWord() const {return m_word;}
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virtual int Compare(const FFState& other) const;
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private:
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Word m_word;
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};
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/** Sets the features of observed bigrams.
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*/
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class TargetBigramFeature : public StatefulFeatureFunction {
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public:
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TargetBigramFeature(FactorType factorType = 0):
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StatefulFeatureFunction("dlmb", ScoreProducer::unlimited),
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m_factorType(factorType)
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{
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FactorCollection& factorCollection = FactorCollection::Instance();
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const Factor* bosFactor =
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factorCollection.AddFactor(Output,m_factorType,BOS_);
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m_bos.SetFactor(m_factorType,bosFactor);
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}
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bool Load(const std::string &filePath);
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std::string GetScoreProducerWeightShortName(unsigned) const;
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size_t GetNumInputScores() const;
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virtual const FFState* EmptyHypothesisState(const InputType &input) const;
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virtual FFState* Evaluate(const Hypothesis& cur_hypo, const FFState* prev_state,
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ScoreComponentCollection* accumulator) const;
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virtual FFState* EvaluateChart( const ChartHypothesis& /* cur_hypo */,
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int /* featureID */,
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ScoreComponentCollection* ) const
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{
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abort();
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}
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private:
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FactorType m_factorType;
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Word m_bos;
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boost::unordered_set<std::string> m_vocab;
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};
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}
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#endif // moses_TargetBigramFeature_h
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