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#include "M2Scorer.h"
#include <algorithm>
#include <fstream>
#include <stdexcept>
#include <sstream>
#include <cstdlib>
#include <boost/lexical_cast.hpp>
using namespace std;
namespace MosesTuning
{
M2Scorer::M2Scorer(const string& config)
: StatisticsBasedScorer("M2Scorer", config),
beta_(Scan<float>(getConfig("beta", "0.5"))),
max_unchanged_words_(Scan<int>(getConfig("max_unchanged_words", "2"))),
truecase_(Scan<bool>(getConfig("truecase", "false"))),
verbose_(Scan<bool>(getConfig("verbose", "false"))),
m2_(max_unchanged_words_, beta_, truecase_)
{}
void M2Scorer::setReferenceFiles(const vector<string>& referenceFiles)
{
for(size_t i = 0; i < referenceFiles.size(); ++i) {
m2_.ReadM2(referenceFiles[i]);
break;
}
}
void M2Scorer::prepareStats(size_t sid, const string& text, ScoreStats& entry)
{
string sentence = trimStr(this->preprocessSentence(text));
std::vector<ScoreStatsType> stats(4, 0);
m2_.SufStats(sentence, sid, stats);
entry.set(stats);
}
float M2Scorer::calculateScore(const vector<ScoreStatsType>& comps) const
{
if (comps.size() != NumberOfScores()) {
throw runtime_error("Size of stat vector for M2Scorer is not " + NumberOfScores());
}
float beta = beta_;
float p = 0.0;
float r = 0.0;
float f = 0.0;
if(comps[1] != 0)
p = comps[0] / (double)comps[1];
else
p = 1.0;
if(comps[2] != 0)
r = comps[0] / (double)comps[2];
else
r = 1.0;
float denom = beta * beta * p + r;
if(denom != 0)
f = (1.0 + beta * beta) * p * r / denom;
else
f = 0.0;
if(verbose_)
std::cerr << comps[0] << " " << comps[1] << " " << comps[2] << std::endl;
if(verbose_)
std::cerr << p << " " << r << " " << f << std::endl;
return f;
}
float M2Scorer::getReferenceLength(const vector<ScoreStatsType>& comps) const
{
return comps[3];
}
std::vector<ScoreStatsType> randomStats(float decay, int max)
{
int gold = rand() % max;
int prop = rand() % max;
int corr = 0.0;
if(std::min(prop, gold) > 0)
corr = rand() % std::min(prop, gold);
//std::cerr << corr << " " << prop << " " << gold << std::endl;
std::vector<ScoreStatsType> stats(3, 0.0);
stats[0] = corr * decay;
stats[1] = prop * decay;
stats[2] = gold * decay;
return stats;
}
float sentenceM2(const std::vector<ScoreStatsType>& stats)
{
float beta = 0.5;
std::vector<ScoreStatsType> smoothStats(3, 0.0); // = randomStats(0.001, 5);
smoothStats[0] += stats[0];
smoothStats[1] += stats[1];
smoothStats[2] += stats[2];
float p = 0.0;
float r = 0.0;
float f = 0.0;
if(smoothStats[1] != 0)
p = smoothStats[0] / smoothStats[1];
else
p = 1.0;
if(smoothStats[2] != 0)
r = smoothStats[0] / smoothStats[2];
else
r = 1.0;
float denom = beta * beta * p + r;
if(denom != 0)
f = (1.0 + beta * beta) * p * r / denom;
else
f = 0.0;
return f;
}
}
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