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#include "moses/StaticData.h"
#include "moses/FactorCollection.h"
#include <boost/functional/hash.hpp>
#include "NeuralLMWrapper.h"
#include "neuralLM.h"
#include <model.h>
using namespace std;
namespace Moses
{
NeuralLMWrapper::NeuralLMWrapper(const std::string &line)
:LanguageModelSingleFactor(line)
{
ReadParameters();
}
NeuralLMWrapper::~NeuralLMWrapper()
{
delete m_neuralLM_shared;
}
void NeuralLMWrapper::Load()
{
// Set parameters required by ancestor classes
FactorCollection &factorCollection = FactorCollection::Instance();
m_sentenceStart = factorCollection.AddFactor(Output, m_factorType, BOS_);
m_sentenceStartWord[m_factorType] = m_sentenceStart;
m_sentenceEnd = factorCollection.AddFactor(Output, m_factorType, EOS_);
m_sentenceEndWord[m_factorType] = m_sentenceEnd;
m_neuralLM_shared = new nplm::neuralLM(m_filePath, true);
m_neuralLM_shared->set_log_base(10);
//TODO: config option?
m_neuralLM_shared->set_cache(1000000);
UTIL_THROW_IF2(m_nGramOrder != m_neuralLM_shared->get_order(),
"Wrong order of neuralLM: LM has " << m_neuralLM_shared->get_order() << ", but Moses expects " << m_nGramOrder);
}
LMResult NeuralLMWrapper::GetValue(const vector<const Word*> &contextFactor, State* finalState) const
{
if (!m_neuralLM.get()) {
m_neuralLM.reset(new nplm::neuralLM(*m_neuralLM_shared));
}
size_t hashCode = 0;
vector<int> words(contextFactor.size());
for (size_t i=0, n=contextFactor.size(); i<n; i++) {
const Word* word = contextFactor[i];
const Factor* factor = word->GetFactor(m_factorType);
const std::string string= factor->GetString().as_string();
int neuralLM_wordID = m_neuralLM->lookup_word(string);
words[i] = neuralLM_wordID;
boost::hash_combine(hashCode, neuralLM_wordID);
}
double value = m_neuralLM->lookup_ngram(words);
// Create a new struct to hold the result
LMResult ret;
ret.score = value;
ret.unknown = false;
(*finalState) = (State*) hashCode;
return ret;
}
}
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