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Using Supertags as Source Language Context in SMT.

, , , and . EAMT, European Association for Machine Translation, (2009)

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The ADAPT System Description for the WMT20 News Translation Task., , , and . WMT@EMNLP, page 262-268. Association for Computational Linguistics, (2020)Using Supertags as Source Language Context in SMT., , , and . EAMT, European Association for Machine Translation, (2009)Dependency Relations as Source Context in Phrase-Based SMT., , , and . PACLIC, page 170-179. City University of Hong Kong Press, (2009)The ADAPT Centre's Participation in WAT 2020 English-to-Odia Translation Task., , and . WAT@AAC/IJCNLPL, page 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., , , and . WAT@AAC/IJCNLPL, page 178-188. Association for Computational Linguistics, (2020)Sentence Similarity-Based Source Context Modelling in PBSMT., , , , and . IALP, page 257-260. IEEE Computer Society, (2010)Syntax-Informed Interactive Neural Machine Translation., , , , and . IJCNN, page 1-8. IEEE, (2020)Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation., , , , , and . Mach. Transl., 35 (4): 661-685 (2021)Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English., , and . RANLP, page 437-446. INCOMA Ltd., (2019)Supertags as Source Language Context in Hierarchical Phrase-Based SMT., , , and . AMTA, Association for Machine Translation in the Americas, (2010)