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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
***********************************************************************/
#ifndef moses_LanguageModelIRST_h
#define moses_LanguageModelIRST_h
#include <string>
#include <vector>
#include "moses/Factor.h"
#include "moses/LM/SingleFactor.h"
#include "moses/Hypothesis.h"
#include "moses/TypeDef.h"
#include "moses/Util.h"
//this is required because:
//- IRSTLM package uses the namespace irstlm
//- the compilation of "IRST.cpp" requires "using namespace irstlm", which is defined in any file of the IRSTLM package
// but conflicts with these foward declaration of class lmContainer
//- for files in moses/LM the IRSTLM include directory is set
// but not for the rest of files
#ifdef LM_IRST
class lmContainer; // irst lm container for any lm type
class ngram;
class dictionary;
#endif
namespace Moses
{
//class LanguageModel;
class FFState;
class Phrase;
/** Implementation of single factor LM using IRST's code.
* This is available from the same sourceforge repository
*/
class LanguageModelIRST : public LanguageModelSingleFactor
{
protected:
mutable std::vector<int> m_lmIdLookup;
lmContainer* m_lmtb;
int m_unknownId; //code of OOV
int m_empty; //code of an empty position
int m_lmtb_sentenceStart; //lmtb symbols to initialize ngram with
int m_lmtb_sentenceEnd; //lmt symbol to initialize ngram with
int m_lmtb_dub; //dictionary upperboud
int m_lmtb_size; //max ngram stored in the table
dictionary* d;
std::string m_mapFilePath;
void CreateFactors(FactorCollection &factorCollection);
int GetLmID( const Word &word ) const;
int GetLmID( const std::string &str ) const;
int GetLmID( const Factor *factor ) const;
public:
LanguageModelIRST(const std::string &line);
~LanguageModelIRST();
void SetParameter(const std::string& key, const std::string& value);
bool IsUseable(const FactorMask &mask) const;
void Load(AllOptions::ptr const& opts);
const FFState *EmptyHypothesisState(const InputType &/*input*/) const;
virtual LMResult GetValue(const std::vector<const Word*> &contextFactor, State* finalState = NULL) const;
virtual void CalcScore(const Phrase &phrase, float &fullScore, float &ngramScore, size_t &oovCount) const;
virtual FFState *EvaluateWhenApplied(const Hypothesis &hypo, const FFState *ps, ScoreComponentCollection *out) const;
/*
virtual FFState *EvaluateWhenApplied(const ChartHypothesis& cur_hypo, int featureID, ScoreComponentCollection *accumulator) const;
virtual FFState *EvaluateWhenApplied(const Syntax::SHyperedge& hyperedge, int featureID, ScoreComponentCollection *accumulator) const;
*/
void InitializeForInput(ttasksptr const& ttask);
void CleanUpAfterSentenceProcessing(const InputType& source);
void set_dictionary_upperbound(int dub) {
m_lmtb_size=dub ;
};
};
}
#endif
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