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https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-27 05:55:02 +03:00
add NeuralLM
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@ -48,6 +48,7 @@
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@ -65,6 +66,7 @@
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@ -47,6 +47,7 @@
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@ -61,6 +62,7 @@
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@ -34,6 +34,8 @@
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<listOptionValue builtIn="false" value="${workspace_loc}/../../srilm/include"/>
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@ -48,6 +50,7 @@
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<listOptionValue builtIn="false" value="LM_IRST"/>
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<listOptionValue builtIn="false" value="LM_RAND"/>
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<listOptionValue builtIn="false" value="HAVE_NPLM"/>
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@ -71,9 +74,6 @@
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<sourceEntries>
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<entry excluding="FF/PhraseLengthFeatureTest.cpp|PhraseLengthFeatureTest.cpp|LM/BackwardTest.cpp|LM/BackwardLMState.h|LM/BackwardLMState.cpp|LM/Backward.h|LM/Backward.cpp|FeatureVectorTest.cpp|LM/ParallelBackoff.h|LM/ParallelBackoff.cpp|src/SyntacticLanguageModelState.h|src/SyntacticLanguageModelFiles.h|src/SyntacticLanguageModel.h|src/SyntacticLanguageModel.cpp|src/LM/SRI.h|src/LM/SRI.cpp|src/LM/Rand.h|src/LM/Rand.cpp|src/LM/LDHT.h|src/LM/LDHT.cpp|SyntacticLanguageModelState.h|SyntacticLanguageModelFiles.h|SyntacticLanguageModel.h|SyntacticLanguageModel.cpp|LM/LDHT.h|LM/LDHT.cpp" flags="VALUE_WORKSPACE_PATH|RESOLVED" kind="sourcePath" name=""/>
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@ -1156,16 +1156,6 @@
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<type>1</type>
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<locationURI>PARENT-3-PROJECT_LOC/moses/FF/InputFeature.h</locationURI>
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</link>
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<link>
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<name>FF/InternalStructStatelessFF.cpp</name>
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<type>1</type>
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<location>/Users/mnadejde/Documents/workspace/moses_120913/mosesdecoder/moses/FF/InternalStructStatelessFF.cpp</location>
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</link>
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<link>
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<name>FF/InternalStructStatelessFF.h</name>
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<type>1</type>
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<location>/Users/mnadejde/Documents/workspace/moses_120913/mosesdecoder/moses/FF/InternalStructStatelessFF.h</location>
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</link>
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<link>
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<name>FF/LexicalReordering</name>
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<type>2</type>
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@ -1436,6 +1426,16 @@
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<type>1</type>
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<locationURI>PARENT-3-PROJECT_LOC/moses/LM/MultiFactor.h</locationURI>
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</link>
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<link>
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<name>LM/NeuralLM.cpp</name>
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<type>1</type>
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<locationURI>PARENT-3-PROJECT_LOC/moses/LM/NeuralLM.cpp</locationURI>
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</link>
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<link>
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<name>LM/NeuralLM.h</name>
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<type>1</type>
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<locationURI>PARENT-3-PROJECT_LOC/moses/LM/NeuralLM.h</locationURI>
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</link>
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<link>
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<name>LM/ORLM.cpp</name>
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<type>1</type>
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@ -31,7 +31,6 @@
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#include "moses/FF/OSM-Feature/OpSequenceModel.h"
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#include "moses/FF/ControlRecombination.h"
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#include "moses/FF/ExternalFeature.h"
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#include "moses/FF/InternalStructStatelessFF.h"
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#include "moses/FF/ConstrainedDecoding.h"
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#include "moses/FF/SkeletonStatelessFF.h"
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@ -60,6 +59,10 @@
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#include "moses/SyntacticLanguageModel.h"
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#endif
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#ifdef HAVE_NPLM
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#include "moses/LM/NeuralLM.h"
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#endif
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#include "util/exception.hh"
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#include <vector>
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@ -155,7 +158,6 @@ FeatureRegistry::FeatureRegistry()
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MOSES_FNAME(SkeletonStatelessFF);
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MOSES_FNAME(SkeletonStatefulFF);
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MOSES_FNAME(InternalStructStatelessFF);
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MOSES_FNAME(SkeletonLM);
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MOSES_FNAME(SkeletonPT);
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@ -174,6 +176,10 @@ FeatureRegistry::FeatureRegistry()
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#ifdef LM_RAND
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MOSES_FNAME2("RANDLM", LanguageModelRandLM);
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#endif
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#ifdef HAVE_NPLM
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MOSES_FNAME(NeuralLM);
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#endif
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Add("KENLM", new KenFactory());
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}
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106
moses/LM/NeuralLM.cpp
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106
moses/LM/NeuralLM.cpp
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@ -0,0 +1,106 @@
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#include "moses/StaticData.h"
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#include "moses/FactorCollection.h"
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#include "NeuralLM.h"
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#include "neuralLM.h"
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#include "model.h"
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using namespace std;
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namespace Moses
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{
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NeuralLM::NeuralLM(const std::string &line)
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:LanguageModelSingleFactor("NeuralLM", line)
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{
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// This space intentionally left blank
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}
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NeuralLM::~NeuralLM()
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{
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delete m_neuralLM;
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}
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bool NeuralLM::Load(const std::string &filePath, FactorType factorType, size_t nGramOrder)
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{
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TRACE_ERR("Loading NeuralLM " << filePath << endl);
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// Store parameters
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m_nGramOrder = nGramOrder;
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m_filePath = filePath;
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m_factorType = factorType;
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if (factorType == NOT_FOUND) {
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m_factorType = 0;
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}
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// Set parameters required by ancestor classes
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FactorCollection &factorCollection = FactorCollection::Instance();
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m_sentenceStart = factorCollection.AddFactor(Output, m_factorType, BOS_);
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m_sentenceStartWord[m_factorType] = m_sentenceStart;
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m_sentenceEnd = factorCollection.AddFactor(Output, m_factorType, EOS_);
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m_sentenceEndWord[m_factorType] = m_sentenceEnd;
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m_neuralLM = new nplm::neuralLM(24234);
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m_neuralLM->read(m_filePath);
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m_neuralLM->set_log_base(10);
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return true;
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//TODO: Implement this
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}
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LMResult NeuralLM::GetValue(const vector<const Word*> &contextFactor, State* finalState) const
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{
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unsigned int hashCode = 0;
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vector<int> words(contextFactor.size());
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// TRACE_ERR("NeuralLM words:");
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for (size_t i=0, n=contextFactor.size(); i<n; i+=1) {
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const Word* word = contextFactor[i];
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const Factor* factor = word->GetFactor(m_factorType);
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const std::string string= factor->GetString().as_string();
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int neuralLM_wordID = m_neuralLM->lookup_word(string);
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words[i] = neuralLM_wordID;
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hashCode += neuralLM_wordID;
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// TRACE_ERR(" " << string << "(" << neuralLM_wordID << ")" );
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}
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double value = m_neuralLM->lookup_ngram(words);
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// TRACE_ERR("\t=\t" << value);
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// TRACE_ERR(endl);
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// Create a new struct to hold the result
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LMResult ret;
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ret.score = value;
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ret.unknown = false;
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// State* finalState is a void pointer
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//
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// Construct a hash value from the vector of words (contextFactor)
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//
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// The hash value must be the same size as sizeof(void*)
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//
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// TODO Set finalState to the above hash value
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// use last word as state info
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// const Factor *factor;
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// size_t hash_value(const Factor &f);
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// if (contextFactor.size()) {
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// factor = contextFactor.back()->GetFactor(m_factorType);
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// } else {
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// factor = NULL;
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// }
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//
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// (*finalState) = (State*) factor;
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(*finalState) = (State*) hashCode;
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return ret;
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}
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}
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36
moses/LM/NeuralLM.h
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36
moses/LM/NeuralLM.h
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#pragma once
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#include "SingleFactor.h"
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namespace nplm {
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class neuralLM;
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}
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namespace Moses
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{
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/** Implementation of single factor LM using IRST's code.
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*/
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class NeuralLM : public LanguageModelSingleFactor
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{
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protected:
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nplm::neuralLM *m_neuralLM;
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public:
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NeuralLM(const std::string &line);
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// NeuralLM(const std::string &line);
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~NeuralLM();
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virtual LMResult GetValue(const std::vector<const Word*> &contextFactor, State* finalState = 0) const;
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virtual bool Load(const std::string &filePath, FactorType factorType, size_t nGramOrder);
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};
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} // namespace
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