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117 lines
3.6 KiB
C++
117 lines
3.6 KiB
C++
// $Id$
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/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2006 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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#ifndef moses_LanguageModelIRST_h
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#define moses_LanguageModelIRST_h
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#include <string>
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#include <vector>
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#include "moses/Factor.h"
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#include "moses/LM/SingleFactor.h"
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#include "moses/Hypothesis.h"
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#include "moses/TypeDef.h"
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#include "moses/Util.h"
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//this is required because:
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//- IRSTLM package uses the namespace irstlm
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//- the compilation of "IRST.cpp" requires "using namespace irstlm", which is defined in any file of the IRSTLM package
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// but conflicts with these foward declaration of class lmContainer
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//- for files in moses/LM the IRSTLM include directory is set
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// but not for the rest of files
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#ifdef LM_IRST
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class lmContainer; // irst lm container for any lm type
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class ngram;
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class dictionary;
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#endif
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namespace Moses
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{
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//class LanguageModel;
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class FFState;
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class Phrase;
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/** Implementation of single factor LM using IRST's code.
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* This is available from the same sourceforge repository
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*/
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class LanguageModelIRST : public LanguageModelSingleFactor
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{
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protected:
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mutable std::vector<int> m_lmIdLookup;
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lmContainer* m_lmtb;
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int m_unknownId; //code of OOV
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int m_empty; //code of an empty position
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int m_lmtb_sentenceStart; //lmtb symbols to initialize ngram with
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int m_lmtb_sentenceEnd; //lmt symbol to initialize ngram with
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int m_lmtb_dub; //dictionary upperboud
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int m_lmtb_size; //max ngram stored in the table
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dictionary* d;
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std::string m_mapFilePath;
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void CreateFactors(FactorCollection &factorCollection);
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int GetLmID( const Word &word ) const;
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int GetLmID( const std::string &str ) const;
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int GetLmID( const Factor *factor ) const;
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public:
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LanguageModelIRST(const std::string &line);
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~LanguageModelIRST();
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void SetParameter(const std::string& key, const std::string& value);
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bool IsUseable(const FactorMask &mask) const;
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void Load(AllOptions::ptr const& opts);
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const FFState *EmptyHypothesisState(const InputType &/*input*/) const;
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virtual LMResult GetValue(const std::vector<const Word*> &contextFactor, State* finalState = NULL) const;
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virtual void CalcScore(const Phrase &phrase, float &fullScore, float &ngramScore, size_t &oovCount) const;
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virtual FFState *EvaluateWhenApplied(const Hypothesis &hypo, const FFState *ps, ScoreComponentCollection *out) const;
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/*
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virtual FFState *EvaluateWhenApplied(const ChartHypothesis& cur_hypo, int featureID, ScoreComponentCollection *accumulator) const;
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virtual FFState *EvaluateWhenApplied(const Syntax::SHyperedge& hyperedge, int featureID, ScoreComponentCollection *accumulator) const;
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*/
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void InitializeForInput(ttasksptr const& ttask);
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void CleanUpAfterSentenceProcessing(const InputType& source);
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void set_dictionary_upperbound(int dub) {
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m_lmtb_size=dub ;
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};
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};
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}
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#endif
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