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Results of the WMT17 Neural MT Training Task.

, , , , and . WMT, page 525-533. Association for Computational Linguistics, (2017)

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Efficiently Reusing Old Models Across Languages via Transfer Learning., and . EAMT, page 19-28. European Association for Machine Translation, (2020)Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust., , , , , , , , , and . WMT, page 46-68. Association for Computational Linguistics, (2022)CUNI Submission for the Inuktitut Language in WMT News 2020.. WMT@EMNLP, page 171-174. Association for Computational Linguistics, (2020)Gender Coreference and Bias Evaluation at WMT 2020., , and . WMT@EMNLP, page 357-364. Association for Computational Linguistics, (2020)Neural Monkey: The Current State and Beyond., , , , , , and . AMTA (1), page 168-176. Association for Machine Translation in the Americas, (2018)CUNI NMT System for WAT 2018 Translation Tasks., , and . WAT@PACLIC, Association for Computational Linguistics, (2018)Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models., , , , , and . ACL (Findings), page 8801-8816. Association for Computational Linguistics, (2024)CUNI NMT System for WAT 2017 Translation Tasks., , and . WAT@IJCNLP, page 154-159. Asian Federation of Natural Language Processing, (2017)To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation., , , , , and . WMT@EMNLP, page 478-494. Association for Computational Linguistics, (2021)Findings of the 2022 Conference on Machine Translation (WMT22)., , , , , , , , , and 9 other author(s). WMT, page 1-45. Association for Computational Linguistics, (2022)