mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-09-11 19:27:11 +03:00
49 lines
1.2 KiB
C++
49 lines
1.2 KiB
C++
//
|
|
// SentenceLevelScorer.h
|
|
// mert_lib
|
|
//
|
|
// Created by Hieu Hoang on 22/06/2012.
|
|
// Copyright 2012 __MyCompanyName__. All rights reserved.
|
|
//
|
|
|
|
#ifndef mert_lib_SentenceLevelScorer_h
|
|
#define mert_lib_SentenceLevelScorer_h
|
|
|
|
#include "Scorer.h"
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
namespace MosesTuning
|
|
{
|
|
|
|
/**
|
|
* Abstract base class for scorers that work by using sentence level
|
|
* statistics (e.g., permutation distance metrics). **/
|
|
class SentenceLevelScorer : public Scorer
|
|
{
|
|
public:
|
|
SentenceLevelScorer(const std::string& name, const std::string& config);
|
|
~SentenceLevelScorer();
|
|
|
|
/** The sentence level scores have already been calculated, just need to average them
|
|
and include the differences. Allows scores which are floats. **/
|
|
virtual void score(const candidates_t& candidates, const diffs_t& diffs,
|
|
statscores_t& scores);
|
|
|
|
// calculate the actual score *
|
|
virtual statscore_t calculateScore(const std::vector<statscore_t>& totals) const {
|
|
return 0;
|
|
}
|
|
|
|
protected:
|
|
// Set up regularisation parameters.
|
|
void Init();
|
|
|
|
//regularisation
|
|
ScorerRegularisationStrategy m_regularisationStrategy;
|
|
size_t m_regularisationWindow;
|
|
};
|
|
|
|
}
|
|
#endif
|