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Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation.

. WMT (2), стр. 225-233. Association for Computational Linguistics, (2019)

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Marcin Wlodarski

Marcin Grzegorzek

Marcin Å0yszkiewicz

Marcin Teodorczyk

Marcin Wlodarczak

 

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