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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
***********************************************************************/
#include "lm/binary_format.hh"
#include "lm/enumerate_vocab.hh"
#include "lm/left.hh"
#include "lm/model.hh"
#include "moses/FF/FFState.h"
#include "moses/Hypothesis.h"
#include "moses/Phrase.h"
#include "moses/LM/Ken.h"
#include "moses/LM/Reloading.h"
#include "util/exception.hh"
//#include "moses/Util.h"
//#include "moses/StaticData.h"
//#include <iostream>
/*
namespace Moses
{
namespace
{
struct ReloadingLMState : public FFState {
lm::ngram::State state;
virtual size_t hash() const {
return 0;
}
virtual bool operator==(const FFState& o) const {
return true;
}
};
} // namespace
template <class Model> ReloadingLanguageModel<Model>::ReloadingLanguageModel(const std::string &line, const std::string &file, FactorType factorType, bool lazy) : LanguageModelKen<Model>(line,file,factorType,lazy)
{
//
// This space intentionally left blank
//
}
template <class Model> const FFState *ReloadingLanguageModel<Model>::EmptyHypothesisState(const InputType &input) const
{
ReloadingLMState *ret = new ReloadingLMState();
ret->state = m_ngram->BeginSentenceState();
return ret;
}
template <class Model> FFState *ReloadingLanguageModel<Model>::EvaluateWhenApplied(const Hypothesis &hypo, const FFState *ps, ScoreComponentCollection *out) const
{
std::auto_ptr<FFState> kenlmState(LanguageModelKen<Model>::EvaluateWhenApplied(hypo, ps, out));
const lm::ngram::State &out_state = static_cast<const ReloadingLMState&>(*kenlmState).state;
std::auto_ptr<ReloadingLMState> ret(new ReloadingLMState());
ret->state = out_state;
kenlmState.release();
return ret.release();
}
LanguageModel *ConstructReloadingLM(const std::string &line, const std::string &file, FactorType factorType, bool lazy)
{
lm::ngram::ModelType model_type;
if (lm::ngram::RecognizeBinary(file.c_str(), model_type)) {
switch(model_type) {
case lm::ngram::PROBING:
return new ReloadingLanguageModel<lm::ngram::ProbingModel>(line, file, factorType, lazy);
case lm::ngram::REST_PROBING:
return new ReloadingLanguageModel<lm::ngram::RestProbingModel>(line, file, factorType, lazy);
case lm::ngram::TRIE:
return new ReloadingLanguageModel<lm::ngram::TrieModel>(line, file, factorType, lazy);
case lm::ngram::QUANT_TRIE:
return new ReloadingLanguageModel<lm::ngram::QuantTrieModel>(line, file, factorType, lazy);
case lm::ngram::ARRAY_TRIE:
return new ReloadingLanguageModel<lm::ngram::ArrayTrieModel>(line, file, factorType, lazy);
case lm::ngram::QUANT_ARRAY_TRIE:
return new ReloadingLanguageModel<lm::ngram::QuantArrayTrieModel>(line, file, factorType, lazy);
default:
UTIL_THROW2("Unrecognized kenlm model type " << model_type);
}
} else {
return new ReloadingLanguageModel<lm::ngram::ProbingModel>(line, file, factorType, lazy);
}
}
} // namespace Moses
*/
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