/*********************************************************************** Moses - factored phrase-based language decoder Copyright (C) 2010 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 ***********************************************************************/ #ifndef MAIN_H_ #define MAIN_H_ #include #include "ScoreComponentCollection.h" #include "Word.h" #include "ScoreProducer.h" #include "Decoder.h" typedef std::map > ProducerWeightMap; typedef std::pair > ProducerWeightPair; template bool from_string(T& t, const std::string& s, std::ios_base& (*f)(std::ios_base&)) { std::istringstream iss(s); return !(iss >> f >> t).fail(); } struct RandomIndex { ptrdiff_t operator()(ptrdiff_t max) { srand(time(0)); // Initialize random number generator with current time. return static_cast (rand() % max); } }; //void OutputNBestList(const MosesChart::TrellisPathList &nBestList, const TranslationSystem* system, long translationId); bool loadSentences(const std::string& filename, std::vector& sentences); bool evaluateModulo(size_t shard_position, size_t mix_or_dump_base, size_t actual_batch_size); void printFeatureValues(std::vector > &featureValues); void ignoreCoreFeatures(std::vector > &featureValues, ProducerWeightMap &coreWeightMap); void takeLogs(std::vector > &featureValues, size_t base); void deleteTranslations(std::vector > &translations); void decodeHopeOrFear(size_t rank, size_t size, size_t decode, std::string decode_filename, std::vector &inputSentences, Mira::MosesDecoder* decoder, size_t n, float bleuWeight); void applyLearningRates(std::vector > &featureValues, float core_r0, float sparse_r0); void applyPerFeatureLearningRates(std::vector > &featureValues, Moses::ScoreComponentCollection featureLearningRates, float sparse_r0); void scaleFeatureScore(Moses::ScoreProducer *sp, float scaling_factor, std::vector > &featureValues, size_t rank, size_t epoch); void scaleFeatureScores(Moses::ScoreProducer *sp, float scaling_factor, std::vector > &featureValues, size_t rank, size_t epoch); #endif /* MAIN_H_ */