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https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-27 05:55:02 +03:00
457d004368
example: Use --factor "0|2" to use only first and third factor from nbest list and from reference. If you use interpolated scorer, separate records with comma (e.g. --factor "0|2,1").
110 lines
3.3 KiB
C++
110 lines
3.3 KiB
C++
#include "TerScorer.h"
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#include <cmath>
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#include <sstream>
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#include <stdexcept>
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#include "ScoreStats.h"
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#include "TER/tercalc.h"
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#include "TER/terAlignment.h"
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#include "Util.h"
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using namespace TERCpp;
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TerScorer::TerScorer(const string& config)
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: StatisticsBasedScorer("TER",config), kLENGTH(2) {}
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TerScorer::~TerScorer() {}
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void TerScorer::setReferenceFiles ( const vector<string>& referenceFiles )
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{
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// for each line in the reference file, create a multiset of the
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// word ids.
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for ( int incRefs = 0; incRefs < ( int ) referenceFiles.size(); incRefs++ ) {
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stringstream convert;
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m_references.clear();
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m_ref_tokens.clear();
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m_ref_lengths.clear();
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ifstream in ( referenceFiles.at ( incRefs ).c_str() );
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if ( !in ) {
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throw runtime_error ( "Unable to open " + referenceFiles.at ( incRefs ) );
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}
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string line;
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int sid = 0;
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while ( getline ( in, line ) ) {
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line = this->applyFactors(line);
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vector<int> tokens;
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TokenizeAndEncode(line, tokens);
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m_references.push_back ( tokens );
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TRACE_ERR ( "." );
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++sid;
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}
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m_multi_references.push_back ( m_references );
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}
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TRACE_ERR ( endl );
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m_references=m_multi_references.at(0);
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}
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void TerScorer::prepareStats ( size_t sid, const string& text, ScoreStats& entry )
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{
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string sentence = this->applyFactors(text);
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terAlignment result;
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result.numEdits = 0.0 ;
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result.numWords = 0.0 ;
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result.averageWords = 0.0;
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for ( int incRefs = 0; incRefs < ( int ) m_multi_references.size(); incRefs++ ) {
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if ( sid >= m_multi_references.at(incRefs).size() ) {
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stringstream msg;
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msg << "Sentence id (" << sid << ") not found in reference set";
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throw runtime_error ( msg.str() );
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}
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vector<int> testtokens;
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vector<int> reftokens;
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reftokens = m_multi_references.at ( incRefs ).at ( sid );
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double averageLength=0.0;
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for ( int incRefsBis = 0; incRefsBis < ( int ) m_multi_references.size(); incRefsBis++ ) {
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if ( sid >= m_multi_references.at(incRefsBis).size() ) {
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stringstream msg;
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msg << "Sentence id (" << sid << ") not found in reference set";
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throw runtime_error ( msg.str() );
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}
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averageLength+=(double)m_multi_references.at ( incRefsBis ).at ( sid ).size();
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}
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averageLength=averageLength/( double ) m_multi_references.size();
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TokenizeAndEncode(sentence, testtokens);
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terCalc * evaluation=new terCalc();
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evaluation->setDebugMode ( false );
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terAlignment tmp_result = evaluation->TER ( reftokens, testtokens );
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tmp_result.averageWords=averageLength;
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if ( ( result.numEdits == 0.0 ) && ( result.averageWords == 0.0 ) ) {
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result = tmp_result;
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} else if ( result.scoreAv() > tmp_result.scoreAv() ) {
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result = tmp_result;
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}
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delete evaluation;
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}
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ostringstream stats;
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// multiplication by 100 in order to keep the average precision
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// in the TER calculation.
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stats << result.numEdits*100.0 << " " << result.averageWords*100.0 << " " << result.scoreAv()*100.0 << " " ;
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string stats_str = stats.str();
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entry.set ( stats_str );
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}
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float TerScorer::calculateScore(const vector<int>& comps) const
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{
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float denom = 1.0 * comps[1];
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float num = -1.0 * comps[0];
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if ( denom == 0 ) {
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// shouldn't happen!
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return 1.0;
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} else {
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return (1.0+(num / denom));
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}
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}
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