mirror of
https://github.com/moses-smt/mosesdecoder.git
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115 lines
4.3 KiB
C++
115 lines
4.3 KiB
C++
/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2012- 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 <boost/algorithm/string/predicate.hpp>
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#include "ScoreFeature.h"
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#include "DomainFeature.h"
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#include "InternalStructFeature.h"
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using namespace std;
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using namespace boost::algorithm;
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namespace MosesTraining
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{
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const string& ScoreFeatureManager::usage() const
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{
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const static string& usage = "[--[Sparse]Domain[Indicator|Ratio|Subset|Bin] domain-file [bins]]" ;
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return usage;
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}
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void ScoreFeatureManager::configure(const std::vector<std::string> args)
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{
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bool domainAdded = false;
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bool sparseDomainAdded = false;
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for (size_t i = 0; i < args.size(); ++i) {
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if (args[i] == "--IgnoreSentenceId") {
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m_includeSentenceId = true;
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} else if (starts_with(args[i], "--Domain")) {
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string type = args[i].substr(8);
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++i;
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UTIL_THROW_IF(i == args.size(), ScoreFeatureArgumentException, "Missing domain file");
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string domainFile = args[i];
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UTIL_THROW_IF(domainAdded, ScoreFeatureArgumentException,
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"Only allowed one domain feature");
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if (type == "Subset") {
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m_features.push_back(ScoreFeaturePtr(new SubsetDomainFeature(domainFile)));
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} else if (type == "Ratio") {
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m_features.push_back(ScoreFeaturePtr(new RatioDomainFeature(domainFile)));
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} else if (type == "Indicator") {
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m_features.push_back(ScoreFeaturePtr(new IndicatorDomainFeature(domainFile)));
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} else {
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UTIL_THROW(ScoreFeatureArgumentException, "Unknown domain feature type " << type);
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}
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domainAdded = true;
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m_includeSentenceId = true;
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} else if (starts_with(args[i], "--SparseDomain")) {
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string type = args[i].substr(14);
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++i;
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UTIL_THROW_IF(i == args.size(), ScoreFeatureArgumentException, "Missing domain file");
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string domainFile = args[i];
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UTIL_THROW_IF(sparseDomainAdded, ScoreFeatureArgumentException,
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"Only allowed one sparse domain feature");
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if (type == "Subset") {
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m_features.push_back(ScoreFeaturePtr(new SparseSubsetDomainFeature(domainFile)));
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} else if (type == "Ratio") {
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m_features.push_back(ScoreFeaturePtr(new SparseRatioDomainFeature(domainFile)));
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} else if (type == "Indicator") {
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m_features.push_back(ScoreFeaturePtr(new SparseIndicatorDomainFeature(domainFile)));
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} else {
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UTIL_THROW(ScoreFeatureArgumentException, "Unknown domain feature type " << type);
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}
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sparseDomainAdded = true;
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m_includeSentenceId = true;
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} else if(args[i] == "--TreeFeatureSparse") {
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//MARIA
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m_features.push_back(ScoreFeaturePtr(new InternalStructFeatureSparse()));
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} else if(args[i] == "--TreeFeatureDense") {
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//MARIA
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m_features.push_back(ScoreFeaturePtr(new InternalStructFeatureDense()));
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} else {
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UTIL_THROW(ScoreFeatureArgumentException,"Unknown score argument " << args[i]);
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}
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}
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}
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void ScoreFeatureManager::addPropertiesToPhrasePair(ExtractionPhrasePair &phrasePair,
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float count,
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int sentenceId) const
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{
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for (size_t i = 0; i < m_features.size(); ++i) {
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m_features[i]->addPropertiesToPhrasePair(phrasePair, count, sentenceId);
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}
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}
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void ScoreFeatureManager::addFeatures(const ScoreFeatureContext& context,
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std::vector<float>& denseValues,
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std::map<std::string,float>& sparseValues) const
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{
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for (size_t i = 0; i < m_features.size(); ++i) {
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m_features[i]->add(context, denseValues, sparseValues);
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}
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}
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}
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