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| /*********************************************************************** | |
| Moses - factored phrase-based language decoder | |
| Copyright (C) 2012- University of Edinburgh | |
| This library is free software; you can redistribute it and/or | |
| modify it under the terms of the GNU Lesser General Public | |
| License as published by the Free Software Foundation; either | |
| version 2.1 of the License, or (at your option) any later version. | |
| This library is distributed in the hope that it will be useful, | |
| but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
| Lesser General Public License for more details. | |
| You should have received a copy of the GNU Lesser General Public | |
| License along with this library; if not, write to the Free Software | |
| Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA | |
| ***********************************************************************/ | |
| using namespace std; | |
| using namespace boost::algorithm; | |
| namespace MosesTraining | |
| { | |
| const string& ScoreFeatureManager::usage() const | |
| { | |
| const static string& usage = "[--[Sparse]Domain[Indicator|Ratio|Subset|Bin] domain-file [bins]]" ; | |
| return usage; | |
| } | |
| void ScoreFeatureManager::configure(const std::vector<std::string> args) | |
| { | |
| bool domainAdded = false; | |
| bool sparseDomainAdded = false; | |
| for (size_t i = 0; i < args.size(); ++i) { | |
| if (args[i] == "--IgnoreSentenceId") { | |
| m_includeSentenceId = true; | |
| } else if (starts_with(args[i], "--Domain")) { | |
| string type = args[i].substr(8); | |
| ++i; | |
| UTIL_THROW_IF(i == args.size(), ScoreFeatureArgumentException, "Missing domain file"); | |
| string domainFile = args[i]; | |
| UTIL_THROW_IF(domainAdded, ScoreFeatureArgumentException, | |
| "Only allowed one domain feature"); | |
| if (type == "Subset") { | |
| m_features.push_back(ScoreFeaturePtr(new SubsetDomainFeature(domainFile))); | |
| } else if (type == "Ratio") { | |
| m_features.push_back(ScoreFeaturePtr(new RatioDomainFeature(domainFile))); | |
| } else if (type == "Indicator") { | |
| m_features.push_back(ScoreFeaturePtr(new IndicatorDomainFeature(domainFile))); | |
| } else { | |
| UTIL_THROW(ScoreFeatureArgumentException, "Unknown domain feature type " << type); | |
| } | |
| domainAdded = true; | |
| m_includeSentenceId = true; | |
| } else if (starts_with(args[i], "--SparseDomain")) { | |
| string type = args[i].substr(14); | |
| ++i; | |
| UTIL_THROW_IF(i == args.size(), ScoreFeatureArgumentException, "Missing domain file"); | |
| string domainFile = args[i]; | |
| UTIL_THROW_IF(sparseDomainAdded, ScoreFeatureArgumentException, | |
| "Only allowed one sparse domain feature"); | |
| if (type == "Subset") { | |
| m_features.push_back(ScoreFeaturePtr(new SparseSubsetDomainFeature(domainFile))); | |
| } else if (type == "Ratio") { | |
| m_features.push_back(ScoreFeaturePtr(new SparseRatioDomainFeature(domainFile))); | |
| } else if (type == "Indicator") { | |
| m_features.push_back(ScoreFeaturePtr(new SparseIndicatorDomainFeature(domainFile))); | |
| } else { | |
| UTIL_THROW(ScoreFeatureArgumentException, "Unknown domain feature type " << type); | |
| } | |
| sparseDomainAdded = true; | |
| m_includeSentenceId = true; | |
| } else if(args[i] == "--TreeFeatureSparse") { | |
| //MARIA | |
| m_features.push_back(ScoreFeaturePtr(new InternalStructFeatureSparse())); | |
| } else if(args[i] == "--TreeFeatureDense") { | |
| //MARIA | |
| m_features.push_back(ScoreFeaturePtr(new InternalStructFeatureDense())); | |
| } else { | |
| UTIL_THROW(ScoreFeatureArgumentException,"Unknown score argument " << args[i]); | |
| } | |
| } | |
| } | |
| void ScoreFeatureManager::addPropertiesToPhrasePair(ExtractionPhrasePair &phrasePair, | |
| float count, | |
| int sentenceId) const | |
| { | |
| for (size_t i = 0; i < m_features.size(); ++i) { | |
| m_features[i]->addPropertiesToPhrasePair(phrasePair, count, sentenceId); | |
| } | |
| } | |
| void ScoreFeatureManager::addFeatures(const ScoreFeatureContext& context, | |
| std::vector<float>& denseValues, | |
| std::map<std::string,float>& sparseValues) const | |
| { | |
| for (size_t i = 0; i < m_features.size(); ++i) { | |
| m_features[i]->add(context, denseValues, sparseValues); | |
| } | |
| } | |
| } | |