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ed6e6f00b1
To avoid defining the similar variables twice to calculate document-wise BLEU and sentence-wise BLEU scores.
72 lines
1.8 KiB
C++
72 lines
1.8 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 "Scorer.h"
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#include "ScopedVector.h"
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using namespace std;
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const int kBleuNgramOrder = 4;
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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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explicit BleuScorer(const string& config = "");
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~BleuScorer();
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virtual void setReferenceFiles(const vector<string>& referenceFiles);
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virtual void prepareStats(size_t sid, const string& text, ScoreStats& entry);
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virtual float calculateScore(const vector<int>& comps) const;
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virtual size_t NumberOfScores() const { return 2 * kBleuNgramOrder + 1; }
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private:
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enum ReferenceLengthType {
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AVERAGE,
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SHORTEST,
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CLOSEST
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};
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/**
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* A NgramCounts is a key-value store.
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* Clients don't have to worry about the actual implementation
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* since this type is used in internal only.
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*/
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class NgramCounts;
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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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size_t countNgrams(const string& line, NgramCounts& counts, unsigned int n);
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void dump_counts(std::ostream* os, const NgramCounts& counts) const;
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// For calculating effective reference length.
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void CalcAverage(size_t sentence_id,
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vector<ScoreStatsType>& stats) const;
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void CalcClosest(size_t sentence_id, size_t length,
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vector<ScoreStatsType>& stats) const;
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void CalcShortest(size_t sentence_id,
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vector<ScoreStatsType>& stats) const;
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ReferenceLengthType m_ref_length_type;
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// data extracted from reference files
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ScopedVector<NgramCounts> m_ref_counts;
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vector<vector<size_t> > m_ref_lengths;
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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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#endif // MERT_BLEU_SCORER_H_
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