mosesdecoder/contrib/other-builds/moses2/LM/LanguageModelDALM.cpp
2016-01-18 15:37:04 +00:00

240 lines
5.7 KiB
C++

/*
* LanguageModelDALM.cpp
*
* Created on: 5 Dec 2015
* Author: hieu
*/
#include "LanguageModelDALM.h"
#include "../TypeDef.h"
#include "../System.h"
#include "dalm.h"
#include "util/exception.hh"
#include "../legacy/InputFileStream.h"
using namespace std;
namespace Moses2
{
//////////////////////////////////////////////////////////////////////////////////////////
class Murmur: public DALM::State::HashFunction
{
public:
Murmur(std::size_t seed=0): seed(seed) {
}
virtual std::size_t operator()(const DALM::VocabId *words, std::size_t size) const {
return util::MurmurHashNative(words, sizeof(DALM::VocabId) * size, seed);
}
private:
std::size_t seed;
};
//////////////////////////////////////////////////////////////////////////////////////////
class DALMState : public FFState
{
private:
DALM::State state;
public:
DALMState() {
}
DALMState(const DALMState &from) {
state = from.state;
}
virtual ~DALMState() {
}
void reset(const DALMState &from) {
state = from.state;
}
virtual int Compare(const FFState& other) const {
const DALMState &o = static_cast<const DALMState &>(other);
if(state.get_count() < o.state.get_count()) return -1;
else if(state.get_count() > o.state.get_count()) return 1;
else return state.compare(o.state);
}
virtual size_t hash() const {
// imitate KenLM
return state.hash(Murmur());
}
virtual bool operator==(const FFState& other) const {
const DALMState &o = static_cast<const DALMState &>(other);
return state.compare(o.state) == 0;
}
DALM::State &get_state() {
return state;
}
void refresh() {
state.refresh();
}
virtual std::string ToString() const
{ return "DALM state"; }
};
//////////////////////////////////////////////////////////////////////////////////////////////////////
inline void read_ini(const char *inifile, string &model, string &words, string &wordstxt)
{
ifstream ifs(inifile);
string line;
getline(ifs, line);
while(ifs) {
unsigned int pos = line.find("=");
string key = line.substr(0, pos);
string value = line.substr(pos+1, line.size()-pos);
if(key=="MODEL") {
model = value;
} else if(key=="WORDS") {
words = value;
} else if(key=="WORDSTXT") {
wordstxt = value;
}
getline(ifs, line);
}
}
/////////////////////////
LanguageModelDALM::LanguageModelDALM(size_t startInd, const std::string &line)
:StatefulFeatureFunction(startInd, line)
{
ReadParameters();
}
LanguageModelDALM::~LanguageModelDALM() {
// TODO Auto-generated destructor stub
}
void LanguageModelDALM::Load(System &system)
{
/////////////////////
// READING INIFILE //
/////////////////////
string inifile= m_filePath + "/dalm.ini";
string model; // Path to the double-array file.
string words; // Path to the vocabulary file.
string wordstxt; //Path to the vocabulary file in text format.
read_ini(inifile.c_str(), model, words, wordstxt);
model = m_filePath + "/" + model;
words = m_filePath + "/" + words;
wordstxt = m_filePath + "/" + wordstxt;
UTIL_THROW_IF(model.empty() || words.empty() || wordstxt.empty(),
util::FileOpenException,
"Failed to read DALM ini file " << m_filePath << ". Probably doesn't exist");
////////////////
// LOADING LM //
////////////////
// Preparing a logger object.
m_logger = new DALM::Logger(stderr);
m_logger->setLevel(DALM::LOGGER_INFO);
// Load the vocabulary file.
m_vocab = new DALM::Vocabulary(words, *m_logger);
// Load the language model.
m_lm = new DALM::LM(model, *m_vocab, m_nGramOrder, *m_logger);
wid_start = m_vocab->lookup(BOS_);
wid_end = m_vocab->lookup(EOS_);
// vocab mapping
CreateVocabMapping(wordstxt, system);
m_beginSentenceFactor = system.GetVocab().AddFactor(BOS_, system);
}
void LanguageModelDALM::CreateVocabMapping(const std::string &wordstxt, const System &system)
{
InputFileStream vocabStrm(wordstxt);
std::vector< std::pair<std::size_t, DALM::VocabId> > vlist;
string line;
std::size_t max_fid = 0;
while(getline(vocabStrm, line)) {
const Factor *factor = system.GetVocab().AddFactor(line, system);
std::size_t fid = factor->GetId();
DALM::VocabId wid = m_vocab->lookup(line.c_str());
vlist.push_back(std::pair<std::size_t, DALM::VocabId>(fid, wid));
if(max_fid < fid) max_fid = fid;
}
for(std::size_t i = 0; i < m_vocabMap.size(); i++) {
m_vocabMap[i] = m_vocab->unk();
}
m_vocabMap.resize(max_fid+1, m_vocab->unk());
std::vector< std::pair<std::size_t, DALM::VocabId> >::iterator it = vlist.begin();
while(it != vlist.end()) {
std::pair<std::size_t, DALM::VocabId> &entry = *it;
m_vocabMap[entry.first] = entry.second;
++it;
}
}
void LanguageModelDALM::SetParameter(const std::string& key, const std::string& value)
{
if (key == "factor") {
m_factorType = Scan<FactorType>(value);
} else if (key == "order") {
m_nGramOrder = Scan<size_t>(value);
} else if (key == "path") {
m_filePath = value;
} else {
StatefulFeatureFunction::SetParameter(key, value);
}
m_ContextSize = m_nGramOrder-1;
}
FFState* LanguageModelDALM::BlankState(MemPool &pool) const
{
DALMState *state = new DALMState();
return state;
}
void LanguageModelDALM::EmptyHypothesisState(FFState &state,
const Manager &mgr,
const InputType &input,
const Hypothesis &hypo) const
{
DALMState &dalmState = static_cast<DALMState&>(state);
m_lm->init_state(dalmState.get_state());
}
void LanguageModelDALM::EvaluateInIsolation(MemPool &pool,
const System &system,
const Phrase &source,
const TargetPhrase &targetPhrase,
Scores &scores,
SCORE *estimatedScore) const
{
}
void LanguageModelDALM::EvaluateWhenApplied(const Manager &mgr,
const Hypothesis &hypo,
const FFState &prevState,
Scores &scores,
FFState &state) const
{
}
}