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// $Id$
/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2006 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#include <set>
#include "StaticData.h"
#include "LMList.h"
#include "Phrase.h"
#include "ScoreComponentCollection.h"
using namespace std;
namespace Moses
{
LMList::~LMList()
{
}
void LMList::CleanUp()
{
RemoveAllInColl(m_coll);
}
void LMList::CalcScore(const Phrase &phrase, float &retFullScore, float &retNGramScore, float &retOOVScore, ScoreComponentCollection* breakdown) const
{
const_iterator lmIter;
for (lmIter = begin(); lmIter != end(); ++lmIter) {
const LanguageModel &lm = **lmIter;
const float weightLM = lm.GetWeight();
const float oovWeightLM = lm.GetOOVWeight();
float fullScore, nGramScore;
size_t oovCount;
// do not process, if factors not defined yet (happens in partial translation options)
if (!lm.Useable(phrase))
continue;
lm.CalcScore(phrase, fullScore, nGramScore, oovCount);
if (StaticData::Instance().GetLMEnableOOVFeature()) {
vector<float> scores(2);
scores[0] = nGramScore;
scores[1] = oovCount;
breakdown->Assign(&lm, scores);
retOOVScore += oovCount * oovWeightLM;
} else {
breakdown->Assign(&lm, nGramScore); // I'm not sure why += doesn't work here- it should be 0.0 right?
}
retFullScore += fullScore * weightLM;
retNGramScore += nGramScore * weightLM;
}
}
void LMList::Add(LanguageModel *lm)
{
m_coll.push_back(lm);
}
}
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