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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 <cassert>
#include "TargetPhrase.h"
#include "PhraseDictionary.h"
#include "GenerationDictionary.h"
#include "LanguageModel.h"
#include "StaticData.h"
#include "LMList.h"
#include "ScoreComponentCollection.h"
using namespace std;
TargetPhrase::TargetPhrase(FactorDirection direction)
:Phrase(direction),m_transScore(0.0), m_ngramScore(0.0), m_fullScore(0.0)
{
}
void TargetPhrase::SetScore(float weightWP)
{ // used when creating translations of unknown words:
m_transScore = m_ngramScore = 0;
m_fullScore = - weightWP;
}
void TargetPhrase::SetScore(const ScoreProducer* translationScoreProducer,
const vector<float> &scoreVector, const vector<float> &weightT,
const LMList &languageModels, float weightWP)
{
assert(weightT.size() == scoreVector.size());
// calc average score if non-best
m_transScore = std::inner_product(scoreVector.begin(),scoreVector.end(),weightT.begin(),0.0);
m_scoreBreakdown.PlusEquals(translationScoreProducer, scoreVector);
// Replicated from TranslationOptions.cpp
float totalFutureScore = 0;
float totalNgramScore = 0;
float totalFullScore = 0;
LMList::const_iterator lmIter;
for (lmIter = languageModels.begin(); lmIter != languageModels.end(); ++lmIter)
{
const LanguageModel &lm = **lmIter;
FactorType lmFactorType = lm.GetFactorType();
if (GetSize() > 0 && GetFactor(0, lmFactorType) != NULL)
{ // contains factors used by this LM
const float weightLM = lm.GetWeight();
float fullScore, nGramScore;
lm.CalcScore(*this, fullScore, nGramScore);
m_scoreBreakdown.Assign(&lm, nGramScore);
// total LM score so far
totalNgramScore += nGramScore * weightLM;
totalFullScore += fullScore * weightLM;
}
}
m_ngramScore = totalNgramScore;
m_fullScore = m_transScore + totalFutureScore + totalFullScore
- (this->GetSize() * weightWP); // word penalty
}
void TargetPhrase::SetWeights(const ScoreProducer* translationScoreProducer, const vector<float> &weightT)
{
// calling this function in case of confusion net input is undefined
assert(StaticData::Instance()->GetInputType()==0);
/* one way to fix this, you have to make sure the weightT contains (in
addition to the usual phrase translation scaling factors) the input
weight factor as last element
*/
m_transScore = m_scoreBreakdown.PartialInnerProduct(translationScoreProducer, weightT);
}
void TargetPhrase::ResetScore()
{
m_transScore = m_fullScore = m_ngramScore = 0;
m_scoreBreakdown.ZeroAll();
}
TargetPhrase *TargetPhrase::MergeNext(const TargetPhrase &inputPhrase) const
{
if (! IsCompatible(inputPhrase))
{
return NULL;
}
// ok, merge
TargetPhrase *clone = new TargetPhrase(*this);
int currWord = 0;
const size_t len = GetSize();
for (size_t currPos = 0 ; currPos < len ; currPos++)
{
const FactorArray &inputWord = inputPhrase.GetFactorArray(currPos);
FactorArray &cloneWord = clone->GetFactorArray(currPos);
Word::Merge(cloneWord, inputWord);
currWord++;
}
return clone;
}
TO_STRING_BODY(TargetPhrase);
std::ostream& operator<<(std::ostream& os, const TargetPhrase& tp)
{
os << static_cast<const Phrase&>(tp) << ", pC=" << tp.m_transScore << ", c=" << tp.m_fullScore;
return os;
}
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