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123 lines
3.7 KiB
C++
123 lines
3.7 KiB
C++
// $Id$
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/***********************************************************************
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Moses - statistical machine translation system
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Copyright (C) 2006-2011 University of Edinburgh
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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***********************************************************************/
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#include "Base.h"
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#include "moses/TypeDef.h"
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#include "moses/Util.h"
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#include "moses/Manager.h"
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#include "moses/ChartManager.h"
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#include "moses/FactorCollection.h"
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#include "moses/Phrase.h"
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#include "util/exception.hh"
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using namespace std;
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namespace Moses
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{
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LanguageModel::LanguageModel(const std::string &line) :
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StatefulFeatureFunction(line, /* registerNow = */ false),
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m_enableOOVFeature(false)
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{
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// load m_enableOOVFeature via SetParameter() first
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// ReadParameters();
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this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
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// register with the correct m_numScoreComponents
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// Register();
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}
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LanguageModel::~LanguageModel() {}
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void LanguageModel::IncrementalCallback(Incremental::Manager &manager) const
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{
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UTIL_THROW(util::Exception, "Incremental search is only supported by KenLM.");
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}
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void LanguageModel::ReportHistoryOrder(std::ostream &out,const Phrase &phrase) const
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{
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// out << "ReportHistoryOrder not implemented";
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}
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void
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LanguageModel::
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EvaluateInIsolation(Phrase const& source, TargetPhrase const& targetPhrase,
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ScoreComponentCollection &scoreBreakdown,
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ScoreComponentCollection &estimatedScores) const
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{
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// contains factors used by this LM
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float fullScore, nGramScore;
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size_t oovCount;
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CalcScore(targetPhrase, fullScore, nGramScore, oovCount);
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float estimateScore = fullScore - nGramScore;
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if (m_enableOOVFeature) {
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vector<float> scores(2), estimateScores(2);
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scores[0] = nGramScore;
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scores[1] = oovCount;
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scoreBreakdown.Assign(this, scores);
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estimateScores[0] = estimateScore;
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estimateScores[1] = 0;
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estimatedScores.Assign(this, estimateScores);
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} else {
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scoreBreakdown.Assign(this, nGramScore);
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estimatedScores.Assign(this, estimateScore);
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}
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}
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const LanguageModel &LanguageModel::GetFirstLM()
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{
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static const LanguageModel *lmStatic = NULL;
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if (lmStatic) {
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return *lmStatic;
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}
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// 1st time looking up lm
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const std::vector<const StatefulFeatureFunction*> &statefulFFs = StatefulFeatureFunction::GetStatefulFeatureFunctions();
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for (size_t i = 0; i < statefulFFs.size(); ++i) {
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const StatefulFeatureFunction *ff = statefulFFs[i];
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const LanguageModel *lm = dynamic_cast<const LanguageModel*>(ff);
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if (lm) {
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lmStatic = lm;
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return *lmStatic;
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}
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}
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throw std::logic_error("Incremental search only supports one language model.");
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}
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void LanguageModel::SetParameter(const std::string& key, const std::string& value)
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{
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if(key == "oov-feature") {
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m_enableOOVFeature = Scan<bool>(value);
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this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
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} else {
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StatefulFeatureFunction::SetParameter(key, value);
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}
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}
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} // namespace Moses
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