mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-26 13:23:25 +03:00
4ee8f2dec1
Don't load all references, read them line by line. Corpora with millions of sentences can now be evaluated without consuming gigabytes of RAM.
107 lines
2.9 KiB
C++
107 lines
2.9 KiB
C++
#pragma once
|
|
|
|
#include <fstream>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include <boost/shared_ptr.hpp>
|
|
|
|
#include "Ngram.h"
|
|
#include "Reference.h"
|
|
#include "ScopedVector.h"
|
|
#include "ScoreData.h"
|
|
#include "StatisticsBasedScorer.h"
|
|
#include "Types.h"
|
|
|
|
namespace MosesTuning
|
|
{
|
|
|
|
const size_t kBleuNgramOrder = 4;
|
|
|
|
/**
|
|
* Bleu scoring
|
|
*/
|
|
class BleuScorer: public StatisticsBasedScorer
|
|
{
|
|
public:
|
|
enum ReferenceLengthType {
|
|
AVERAGE,
|
|
CLOSEST,
|
|
SHORTEST
|
|
};
|
|
|
|
explicit BleuScorer(const std::string& config = "");
|
|
~BleuScorer();
|
|
|
|
static std::vector<float> ScoreNbestList(const std::string& scoreFile, const std::string& featureFile);
|
|
|
|
virtual void setReferenceFiles(const std::vector<std::string>& referenceFiles);
|
|
virtual void prepareStats(std::size_t sid, const std::string& text, ScoreStats& entry);
|
|
virtual statscore_t calculateScore(const std::vector<ScoreStatsType>& comps) const;
|
|
virtual std::size_t NumberOfScores() const {
|
|
return 2 * kBleuNgramOrder + 1;
|
|
}
|
|
|
|
void CalcBleuStats(const Reference& ref, const std::string& text, ScoreStats& entry) const;
|
|
|
|
int CalcReferenceLength(const Reference& ref, std::size_t length) const;
|
|
|
|
ReferenceLengthType GetReferenceLengthType() const {
|
|
return m_ref_length_type;
|
|
}
|
|
|
|
void SetReferenceLengthType(ReferenceLengthType type) {
|
|
m_ref_length_type = type;
|
|
}
|
|
|
|
const std::vector<Reference*>& GetReferences() const {
|
|
return m_references.get();
|
|
}
|
|
|
|
virtual float getReferenceLength(const std::vector<ScoreStatsType>& totals) const {
|
|
return totals[kBleuNgramOrder*2];
|
|
}
|
|
|
|
/**
|
|
* Count the ngrams of each type, up to the given length in the input line.
|
|
*/
|
|
size_t CountNgrams(const std::string& line, NgramCounts& counts, unsigned int n, bool is_testing=false) const;
|
|
|
|
void DumpCounts(std::ostream* os, const NgramCounts& counts) const;
|
|
|
|
// NOTE: this function is used for unit testing.
|
|
bool OpenReferenceStream(std::istream* is, std::size_t file_id);
|
|
|
|
void ProcessReferenceLine(const std::string& line, Reference* ref) const;
|
|
|
|
bool GetNextReferenceFromStreams(std::vector<boost::shared_ptr<std::ifstream> >& referenceStreams, Reference& ref) const;
|
|
|
|
//private:
|
|
protected:
|
|
ReferenceLengthType m_ref_length_type;
|
|
|
|
// reference translations.
|
|
ScopedVector<Reference> m_references;
|
|
|
|
// constructor used by subclasses
|
|
BleuScorer(const std::string& name, const std::string& config): StatisticsBasedScorer(name,config) {}
|
|
|
|
// no copying allowed
|
|
BleuScorer(const BleuScorer&);
|
|
BleuScorer& operator=(const BleuScorer&);
|
|
};
|
|
|
|
/** Computes sentence-level BLEU+1 score.
|
|
* This function is used in PRO.
|
|
*/
|
|
float smoothedSentenceBleu
|
|
(const std::vector<float>& stats, float smoothing=1.0, bool smoothBP=false);
|
|
|
|
/** Computes sentence-level BLEU score given a background corpus.
|
|
* This function is used in batch MIRA.
|
|
*/
|
|
float sentenceLevelBackgroundBleu(const std::vector<float>& sent, const std::vector<float>& bg);
|
|
|
|
}
|
|
|