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Syntax-aware Neural Machine Translation Using CCG., , , , , , and . CoRR, (2017)Minimally-Augmented Grammatical Error Correction., and . W-NUT@EMNLP, page 357-363. Association for Computational Linguistics, (2019)Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions., , and . IWSLT, International Workshop on Spoken Language Translation, (2016)The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing., and . WMT, page 639-646. Association for Computational Linguistics, (2017)The Curious Case of Hallucinations in Neural Machine Translation., , and . NAACL-HLT, page 1172-1183. Association for Computational Linguistics, (2021)Fast, Scalable Phrase-Based SMT Decoding., , , and . AMTA (1), page 40-52. The Association for Machine Translation in the Americas, (2016)Are we experiencing the Golden Age of Automatic Post-Editing?. PostEditing@AMTA, page 144-206. Association for Machine Translation in the Americas, (2018)Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation., , , and . EMNLP, page 2991-2996. Association for Computational Linguistics, (2018)A Space-Efficient Phrase Table Implementation Using Minimal Perfect Hash Functions.. TSD, volume 7499 of Lecture Notes in Computer Science, page 320-327. Springer, (2012)A Maximum Entropy Approach to Syntactic Translation Rule Filtering.. CICLing, volume 6008 of Lecture Notes in Computer Science, page 451-463. Springer, (2010)