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// $Id$

/***********************************************************************
Moses - statistical machine translation system
Copyright (C) 2006-2011 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 "Base.h"
#include "moses/TypeDef.h"
#include "moses/Util.h"
#include "moses/Manager.h"
#include "moses/ChartManager.h"
#include "moses/FactorCollection.h"
#include "moses/Phrase.h"
#include "util/exception.hh"

using namespace std;

namespace Moses
{

LanguageModel::LanguageModel(const std::string &line) :
  StatefulFeatureFunction(line, /* registerNow = */ false),
  m_enableOOVFeature(false)
{
  // load m_enableOOVFeature via SetParameter() first
  // ReadParameters();
  this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
  // register with the correct m_numScoreComponents
  // Register();
}


LanguageModel::~LanguageModel() {}

void LanguageModel::IncrementalCallback(Incremental::Manager &manager) const
{
  UTIL_THROW(util::Exception, "Incremental search is only supported by KenLM.");
}

void LanguageModel::ReportHistoryOrder(std::ostream &out,const Phrase &phrase) const
{
  // out << "ReportHistoryOrder not implemented";
}

void
LanguageModel::
EvaluateInIsolation(Phrase const& source, TargetPhrase const& targetPhrase,
                    ScoreComponentCollection &scoreBreakdown,
                    ScoreComponentCollection &estimatedScores) const
{
  // contains factors used by this LM
  float fullScore, nGramScore;
  size_t oovCount;

  CalcScore(targetPhrase, fullScore, nGramScore, oovCount);

  float estimateScore = fullScore - nGramScore;

  if (m_enableOOVFeature) {
    vector<float> scores(2), estimateScores(2);
    scores[0] = nGramScore;
    scores[1] = oovCount;
    scoreBreakdown.Assign(this, scores);

    estimateScores[0] = estimateScore;
    estimateScores[1] = 0;
    estimatedScores.Assign(this, estimateScores);
  } else {
    scoreBreakdown.Assign(this, nGramScore);
    estimatedScores.Assign(this, estimateScore);
  }
}

const LanguageModel &LanguageModel::GetFirstLM()
{
  static const LanguageModel *lmStatic = NULL;

  if (lmStatic) {
    return *lmStatic;
  }

  // 1st time looking up lm
  const std::vector<const StatefulFeatureFunction*> &statefulFFs = StatefulFeatureFunction::GetStatefulFeatureFunctions();
  for (size_t i = 0; i < statefulFFs.size(); ++i) {
    const StatefulFeatureFunction *ff = statefulFFs[i];
    const LanguageModel *lm = dynamic_cast<const LanguageModel*>(ff);

    if (lm) {
      lmStatic = lm;
      return *lmStatic;
    }
  }

  throw std::logic_error("Incremental search only supports one language model.");
}

void LanguageModel::SetParameter(const std::string& key, const std::string& value)
{
  if(key == "oov-feature") {
    m_enableOOVFeature = Scan<bool>(value);
    this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
  } else {
    StatefulFeatureFunction::SetParameter(key, value);
  }
}

} // namespace Moses

	// $Id$

	/***********************************************************************
	Moses - statistical machine translation system
	Copyright (C) 2006-2011 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 "Base.h"
	#include "moses/TypeDef.h"
	#include "moses/Util.h"
	#include "moses/Manager.h"
	#include "moses/ChartManager.h"
	#include "moses/FactorCollection.h"
	#include "moses/Phrase.h"
	#include "util/exception.hh"

	using namespace std;

	namespace Moses
	{

	LanguageModel::LanguageModel(const std::string &line) :
	StatefulFeatureFunction(line, /* registerNow = */ false),
	m_enableOOVFeature(false)
	{
	// load m_enableOOVFeature via SetParameter() first
	// ReadParameters();
	this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
	// register with the correct m_numScoreComponents
	// Register();
	}


	LanguageModel::~LanguageModel() {}

	void LanguageModel::IncrementalCallback(Incremental::Manager &manager) const
	{
	UTIL_THROW(util::Exception, "Incremental search is only supported by KenLM.");
	}

	void LanguageModel::ReportHistoryOrder(std::ostream &out,const Phrase &phrase) const
	{
	// out << "ReportHistoryOrder not implemented";
	}

	void
	LanguageModel::
	EvaluateInIsolation(Phrase const& source, TargetPhrase const& targetPhrase,
	ScoreComponentCollection &scoreBreakdown,
	ScoreComponentCollection &estimatedScores) const
	{
	// contains factors used by this LM
	float fullScore, nGramScore;
	size_t oovCount;

	CalcScore(targetPhrase, fullScore, nGramScore, oovCount);

	float estimateScore = fullScore - nGramScore;

	if (m_enableOOVFeature) {
	vector<float> scores(2), estimateScores(2);
	scores[0] = nGramScore;
	scores[1] = oovCount;
	scoreBreakdown.Assign(this, scores);

	estimateScores[0] = estimateScore;
	estimateScores[1] = 0;
	estimatedScores.Assign(this, estimateScores);
	} else {
	scoreBreakdown.Assign(this, nGramScore);
	estimatedScores.Assign(this, estimateScore);
	}
	}

	const LanguageModel &LanguageModel::GetFirstLM()
	{
	static const LanguageModel *lmStatic = NULL;

	if (lmStatic) {
	return *lmStatic;
	}

	// 1st time looking up lm
	const std::vector<const StatefulFeatureFunction*> &statefulFFs = StatefulFeatureFunction::GetStatefulFeatureFunctions();
	for (size_t i = 0; i < statefulFFs.size(); ++i) {
	const StatefulFeatureFunction *ff = statefulFFs[i];
	const LanguageModel lm = dynamic_cast<const LanguageModel>(ff);

	if (lm) {
	lmStatic = lm;
	return *lmStatic;
	}
	}

	throw std::logic_error("Incremental search only supports one language model.");
	}

	void LanguageModel::SetParameter(const std::string& key, const std::string& value)
	{
	if(key == "oov-feature") {
	m_enableOOVFeature = Scan<bool>(value);
	this->m_numScoreComponents = this->m_numTuneableComponents = m_enableOOVFeature ? 2 : 1;
	} else {
	StatefulFeatureFunction::SetParameter(key, value);
	}
	}

	} // namespace Moses