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The ADAPT System Description for the WMT20 News Translation Task., , , и . WMT@EMNLP, стр. 262-268. Association for Computational Linguistics, (2020)Using Supertags as Source Language Context in SMT., , , и . EAMT, European Association for Machine Translation, (2009)Dependency Relations as Source Context in Phrase-Based SMT., , , и . PACLIC, стр. 170-179. City University of Hong Kong Press, (2009)The ADAPT Centre's Participation in WAT 2020 English-to-Odia Translation Task., , и . WAT@AAC/IJCNLPL, стр. 114-117. Association for Computational Linguistics, (2020)An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil., , , и . WAT@AAC/IJCNLPL, стр. 178-188. Association for Computational Linguistics, (2020)Syntax-Informed Interactive Neural Machine Translation., , , , и . IJCNN, стр. 1-8. IEEE, (2020)Sentence Similarity-Based Source Context Modelling in PBSMT., , , , и . IALP, стр. 257-260. IEEE Computer Society, (2010)Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English., , и . RANLP, стр. 437-446. INCOMA Ltd., (2019)Augmenting Training Data for Low-Resource Neural Machine Translation via Bilingual Word Embeddings and BERT Language Modelling., , , , и . IJCNN, стр. 1-8. IEEE, (2021)Monolingual Data Optimisation for Bootstrapping SMT Engines., , , , , и . MonoMT@AMTA, Association for Machine Translation in the Americas, (2012)