mirror of
https://github.com/moses-smt/mosesdecoder.git
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175 lines
5.2 KiB
C++
175 lines
5.2 KiB
C++
// $Id$
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// vim:tabstop=2
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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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#include "LexicalReorderingTableCompact.h"
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namespace Moses
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{
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LexicalReorderingTableCompact::LexicalReorderingTableCompact(
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const std::string& filePath,
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const std::vector<FactorType>& f_factors,
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const std::vector<FactorType>& e_factors,
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const std::vector<FactorType>& c_factors)
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: LexicalReorderingTable(f_factors, e_factors, c_factors),
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m_inMemory(StaticData::Instance().UseMinlexrInMemory()),
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m_numScoreComponent(6), m_multipleScoreTrees(true),
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m_hash(10, 16), m_scoreTrees(1)
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{
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Load(filePath);
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}
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LexicalReorderingTableCompact::LexicalReorderingTableCompact(
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const std::vector<FactorType>& f_factors,
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const std::vector<FactorType>& e_factors,
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const std::vector<FactorType>& c_factors)
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: LexicalReorderingTable(f_factors, e_factors, c_factors),
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m_inMemory(StaticData::Instance().UseMinlexrInMemory()),
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m_numScoreComponent(6), m_multipleScoreTrees(true),
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m_hash(10, 16), m_scoreTrees(1)
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{ }
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LexicalReorderingTableCompact::~LexicalReorderingTableCompact()
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{
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for(size_t i = 0; i < m_scoreTrees.size(); i++)
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delete m_scoreTrees[i];
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}
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std::vector<float> LexicalReorderingTableCompact::GetScore(const Phrase& f,
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const Phrase& e,
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const Phrase& c)
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{
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std::string key;
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Scores scores;
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if(0 == c.GetSize())
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key = MakeKey(f, e, c);
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else
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for(size_t i = 0; i <= c.GetSize(); ++i) {
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Phrase sub_c(c.GetSubString(WordsRange(i,c.GetSize()-1)));
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key = MakeKey(f,e,sub_c);
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}
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size_t index = m_hash[key];
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if(m_hash.GetSize() != index) {
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std::string scoresString;
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if(m_inMemory)
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scoresString = m_scoresMemory[index];
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else
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scoresString = m_scoresMapped[index];
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BitWrapper<> bitStream(scoresString);
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for(size_t i = 0; i < m_numScoreComponent; i++)
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scores.push_back(m_scoreTrees[m_multipleScoreTrees ? i : 0]->Read(bitStream));
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return scores;
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}
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return Scores();
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}
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std::string LexicalReorderingTableCompact::MakeKey(const Phrase& f,
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const Phrase& e,
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const Phrase& c) const
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{
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return MakeKey(Trim(f.GetStringRep(m_FactorsF)),
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Trim(e.GetStringRep(m_FactorsE)),
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Trim(c.GetStringRep(m_FactorsC)));
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}
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std::string LexicalReorderingTableCompact::MakeKey(const std::string& f,
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const std::string& e,
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const std::string& c) const
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{
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std::string key;
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if(!f.empty()) {
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key += f;
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}
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if(!m_FactorsE.empty()) {
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if(!key.empty()) {
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key += " ||| ";
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}
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key += e;
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}
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if(!m_FactorsC.empty()) {
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if(!key.empty()) {
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key += " ||| ";
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}
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key += c;
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}
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key += " ||| ";
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return key;
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}
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LexicalReorderingTable* LexicalReorderingTableCompact::CheckAndLoad(
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const std::string& filePath,
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const std::vector<FactorType>& f_factors,
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const std::vector<FactorType>& e_factors,
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const std::vector<FactorType>& c_factors)
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{
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#ifdef HAVE_CMPH
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std::string minlexr = ".minlexr";
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// file name is specified without suffix
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if(FileExists(filePath + minlexr)) {
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//there exists a compact binary version use that
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VERBOSE(2,"Using compact lexical reordering table" << std::endl);
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return new LexicalReorderingTableCompact(filePath + minlexr, f_factors, e_factors, c_factors);
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}
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// file name is specified with suffix
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if(filePath.substr(filePath.length() - minlexr.length(), minlexr.length()) == minlexr
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&& FileExists(filePath)) {
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//there exists a compact binary version use that
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VERBOSE(2,"Using compact lexical reordering table" << std::endl);
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return new LexicalReorderingTableCompact(filePath, f_factors, e_factors, c_factors);
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}
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#endif
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return 0;
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}
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void LexicalReorderingTableCompact::Load(std::string filePath)
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{
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std::FILE* pFile = std::fopen(filePath.c_str(), "r");
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if(m_inMemory)
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m_hash.Load(pFile);
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else
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m_hash.LoadIndex(pFile);
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size_t read = 0;
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read += std::fread(&m_numScoreComponent, sizeof(m_numScoreComponent), 1, pFile);
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read += std::fread(&m_multipleScoreTrees, sizeof(m_multipleScoreTrees), 1, pFile);
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if(m_multipleScoreTrees) {
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m_scoreTrees.resize(m_numScoreComponent);
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for(size_t i = 0; i < m_numScoreComponent; i++)
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m_scoreTrees[i] = new CanonicalHuffman<float>(pFile);
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} else {
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m_scoreTrees.resize(1);
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m_scoreTrees[0] = new CanonicalHuffman<float>(pFile);
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}
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if(m_inMemory)
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m_scoresMemory.load(pFile, false);
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else
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m_scoresMapped.load(pFile, true);
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}
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}
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