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The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing., and . WMT, page 639-646. Association for Computational Linguistics, (2017)Minimally-Augmented Grammatical Error Correction., and . W-NUT@EMNLP, page 357-363. Association for Computational Linguistics, (2019)The Curious Case of Hallucinations in Neural Machine Translation., , and . NAACL-HLT, page 1172-1183. Association for Computational Linguistics, (2021)Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation., , , and . EMNLP, page 2991-2996. Association for Computational Linguistics, (2018)Are we experiencing the Golden Age of Automatic Post-Editing?. PostEditing@AMTA, page 144-206. Association for Machine Translation in the Americas, (2018)Fast, Scalable Phrase-Based SMT Decoding., , , and . AMTA (1), page 40-52. The Association for Machine Translation in the Americas, (2016)Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions., , and . IWSLT, International Workshop on Spoken Language Translation, (2016)Influence of accurate compound noun splitting on bilingual vocabulary extraction.. KONVENS, page 91-104. Mouton de Gruyter, (2008)Reinvestigating the Classification Approach to the Article and Preposition Error Correction., and . LTC, volume 10930 of Lecture Notes in Computer Science, page 112-122. Springer, (2015)Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation., and . NAACL-HLT (2), page 284-290. Association for Computational Linguistics, (2018)