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103 lines
2.7 KiB
C++
103 lines
2.7 KiB
C++
#ifndef MERT_BLEU_SCORER_H_
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#define MERT_BLEU_SCORER_H_
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#include <ostream>
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#include <string>
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#include <vector>
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#include "Types.h"
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#include "ScoreData.h"
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#include "StatisticsBasedScorer.h"
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#include "ScopedVector.h"
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namespace MosesTuning
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{
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const size_t kBleuNgramOrder = 4;
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class NgramCounts;
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class Reference;
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/**
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* Bleu scoring
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*/
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class BleuScorer: public StatisticsBasedScorer
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{
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public:
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enum ReferenceLengthType {
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AVERAGE,
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CLOSEST,
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SHORTEST
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};
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explicit BleuScorer(const std::string& config = "");
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~BleuScorer();
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static std::vector<float> ScoreNbestList(const std::string& scoreFile, const std::string& featureFile);
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virtual void setReferenceFiles(const std::vector<std::string>& referenceFiles);
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virtual void prepareStats(std::size_t sid, const std::string& text, ScoreStats& entry);
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virtual statscore_t calculateScore(const std::vector<ScoreStatsType>& comps) const;
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virtual std::size_t NumberOfScores() const {
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return 2 * kBleuNgramOrder + 1;
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}
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int CalcReferenceLength(std::size_t sentence_id, std::size_t length);
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ReferenceLengthType GetReferenceLengthType() const {
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return m_ref_length_type;
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}
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void SetReferenceLengthType(ReferenceLengthType type) {
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m_ref_length_type = type;
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}
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const std::vector<Reference*>& GetReferences() const {
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return m_references.get();
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}
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virtual float getReferenceLength(const std::vector<ScoreStatsType>& totals) const {
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return totals[kBleuNgramOrder*2];
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}
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/**
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* Count the ngrams of each type, up to the given length in the input line.
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*/
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std::size_t CountNgrams(const std::string& line, NgramCounts& counts, unsigned int n, bool is_testing=false);
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void DumpCounts(std::ostream* os, const NgramCounts& counts) const;
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bool OpenReference(const char* filename, std::size_t file_id);
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// NOTE: this function is used for unit testing.
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virtual bool OpenReferenceStream(std::istream* is, std::size_t file_id);
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//private:
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protected:
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ReferenceLengthType m_ref_length_type;
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// reference translations.
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ScopedVector<Reference> m_references;
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// constructor used by subclasses
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BleuScorer(const std::string& name, const std::string& config): StatisticsBasedScorer(name,config) {}
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// no copying allowed
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BleuScorer(const BleuScorer&);
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BleuScorer& operator=(const BleuScorer&);
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};
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/** Computes sentence-level BLEU+1 score.
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* This function is used in PRO.
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*/
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float smoothedSentenceBleu
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(const std::vector<float>& stats, float smoothing=1.0, bool smoothBP=false);
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/** Computes sentence-level BLEU score given a background corpus.
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* This function is used in batch MIRA.
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*/
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float sentenceLevelBackgroundBleu(const std::vector<float>& sent, const std::vector<float>& bg);
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}
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#endif // MERT_BLEU_SCORER_H_
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