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Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment., , , , and . NAACL-HLT (3), page 106-113. Association for Computational Linguistics, (2018)Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation., , and . WAT@EMNLP-IJCNLP, page 45-53. Association for Computational Linguistics, (2019)SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies., , , and . EMNLP (System Demonstrations), page 25-30. Association for Computational Linguistics, (2017)Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices., , , and . EACL (2), page 362-368. Association for Computational Linguistics, (2017)UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT.. SemEval@COLING, page 688-693. The Association for Computer Linguistics, (2014)The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16., , and . WMT, page 377-384. The Association for Computer Linguistics, (2016)Syntactically Guided Neural Machine Translation., , , and . ACL (2), The Association for Computer Linguistics, (2016)Automatic Evaluation and Analysis of Idioms in Neural Machine Translation., , and . CoRR, (2022)Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation., , and . WMT, page 295-309. Association for Computational Linguistics, (2022)A Comparison of Neural Models for Word Ordering., , , , and . INLG, page 208-212. Association for Computational Linguistics, (2017)