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Evaluating Discourse Phenomena in Neural Machine Translation., , , and . CoRR, (2017)Improved Minimum Error Rate Training in Moses., , and . Prague Bull. Math. Linguistics, (2009)Edinburgh Neural Machine Translation Systems for WMT 16., , and . WMT, page 371-376. The Association for Computer Linguistics, (2016)Findings of the 2018 Conference on Machine Translation (WMT18)., , , , , , and . WMT (shared task), page 272-303. Association for Computational Linguistics, (2018)Two Approaches to Correcting Homophone Confusions in a Hybrid Machine Translation System., , , , and . HyTra@ACL, page 109-116. The Association for Computer Linguistics, (2013)Evaluating Discourse Phenomena in Neural Machine Translation., , , and . NAACL-HLT, page 1304-1313. Association for Computational Linguistics, (2018)The Samsung and University of Edinburgh's submission to IWSLT17., , , , and . IWSLT, page 23-28. International Workshop on Spoken Language Translation, (2017)Sparse lexicalised features and topic adaptation for SMT., , and . IWSLT, page 268-275. ISCA, (2012)Assessing the Reliability of Large Language Model Knowledge., , , and . CoRR, (2023)Survey of Low-Resource Machine Translation., , , , and . CoRR, (2021)