2017 · 10 citations · 4 references
ComputingComputer ScienceComputational LinguisticsCorpus-based Translation StudiesNatural Language ProcessingCorpus AnalysisLanguage ModelingMachine TranslationPatent TranslationTranslation CorporaHuman Evaluation Of Machine TranslationMachine Translation ComparisonMachine Translation For PatentsMachine Translation Quality EvaluationNeural Machine TranslationPatent Translation CorporaPhrase-based Machine TranslationStatistical Machine Translation
Japio participates in patent subtasks (JPC-EJ/JE/CJ/KJ) with phrase-based statistical machine translation (SMT) and neural machine translation (NMT) systems which are trained with its own patent corpora in addition to the subtask corpora provided by organizers of WAT2017. In EJ and CJ subtasks, SMT and NMT systems whose sizes of training corpora are about 50 million and 10 million sentence pairs respectively achieved comparable scores for automatic evaluations, but NMT systems were superior to SMT systems for both official and in-house human evaluations.
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