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https://github.com/moses-smt/mosesdecoder.git
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3d00e5dc8c
metrics need getReferenceLength (for background smoothing) to work with kbmira
68 lines
1.7 KiB
C++
68 lines
1.7 KiB
C++
#ifndef MERT_INTERPOLATED_SCORER_H_
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#define MERT_INTERPOLATED_SCORER_H_
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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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namespace MosesTuning
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{
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/**
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* Class that includes other scorers eg.
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* Interpolated HAMMING and BLEU scorer **/
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class InterpolatedScorer : public Scorer
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{
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public:
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// name would be: "HAMMING,BLEU" or similar
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InterpolatedScorer(const std::string& name, const std::string& config);
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virtual ~InterpolatedScorer() {}
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virtual void score(const candidates_t& candidates, const diffs_t& diffs,
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statscores_t& scores) const;
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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 std::size_t NumberOfScores() const {
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std::size_t sz = 0;
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for (ScopedVector<Scorer>::const_iterator itsc = m_scorers.begin();
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itsc != m_scorers.end(); ++itsc) {
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sz += (*itsc)->NumberOfScores();
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}
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return sz;
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}
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virtual void setScoreData(ScoreData* data);
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virtual float calculateScore(const std::vector<ScoreStatsType>& totals) const;
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virtual float getReferenceLength(const std::vector<ScoreStatsType>& totals) const;
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/**
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* Set the factors, which should be used for this metric
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*/
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virtual void setFactors(const std::string& factors);
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virtual void setFilter(const std::string& filterCommand);
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bool useAlignment() const;
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protected:
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ScopedVector<Scorer> m_scorers;
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// Take the ownership of the heap-allocated the objects
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// by Scorer objects.
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ScopedVector<ScoreData> m_scorers_score_data;
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std::vector<float> m_scorer_weights;
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};
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}
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#endif // MERT_INTERPOLATED_SCORER_H_
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