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https://github.com/moses-smt/mosesdecoder.git
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84 lines
2.5 KiB
C++
84 lines
2.5 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/TypeDef.h"
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#include "moses/Util.h"
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#include "SingleFactor.h"
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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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namespace Moses
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{
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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_size; //max ngram stored in the table
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int m_lmtb_dub; //dictionary upperboud
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std::string m_mapFilePath;
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void CreateFactors(FactorCollection &factorCollection);
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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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dictionary* d;
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public:
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LanguageModelIRST(const std::string &line);
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~LanguageModelIRST();
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void Load();
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virtual LMResult GetValue(const std::vector<const Word*> &contextFactor, State* finalState = NULL) const;
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void InitializeForInput(InputType const& source);
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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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//m_lmtb->set_dictionary_upperbound(dub);
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};
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};
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}
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#endif
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