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Sparse lexicalised features and topic adaptation for SMT., , and . IWSLT, page 268-275. ISCA, (2012)Improved Minimum Error Rate Training in Moses., , and . Prague Bull. Math. Linguistics, (2009)Evaluating Discourse Phenomena in Neural Machine Translation., , , and . CoRR, (2017)SampleRank Training for Phrase-Based Machine Translation., , and . WMT@EMNLP, page 261-271. Association for Computational Linguistics, (2011)Findings of the 2014 Workshop on Statistical Machine Translation., , , , , , , , , and 3 other author(s). WMT@ACL, page 12-58. The Association for Computer Linguistics, (2014)Edinburgh's Machine Translation Systems for European Language Pairs., , , and . WMT@ACL, page 114-121. The Association for Computer Linguistics, (2013)Findings of the 2013 Workshop on Statistical Machine Translation., , , , , , , , , and . WMT@ACL, page 1-44. The Association for Computer Linguistics, (2013)Edinburgh Neural Machine Translation Systems for WMT 16., , and . WMT, page 371-376. The Association for Computer Linguistics, (2016)Evaluating Discourse Phenomena in Neural Machine Translation., , , and . NAACL-HLT, page 1304-1313. 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)