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Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust., , , , , , , , , и . WMT, стр. 46-68. Association for Computational Linguistics, (2022)CUNI Submission for the Inuktitut Language in WMT News 2020.. WMT@EMNLP, стр. 171-174. Association for Computational Linguistics, (2020)Gender Coreference and Bias Evaluation at WMT 2020., , и . WMT@EMNLP, стр. 357-364. Association for Computational Linguistics, (2020)Efficiently Reusing Old Models Across Languages via Transfer Learning., и . EAMT, стр. 19-28. European Association for Machine Translation, (2020)Neural Monkey: The Current State and Beyond., , , , , , и . AMTA (1), стр. 168-176. Association for Machine Translation in the Americas, (2018)CUNI NMT System for WAT 2018 Translation Tasks., , и . WAT@PACLIC, Association for Computational Linguistics, (2018)Curriculum Learning and Minibatch Bucketing in Neural Machine Translation., и . RANLP, стр. 379-386. INCOMA Ltd., (2017)Findings of the 2022 Conference on Machine Translation (WMT22)., , , , , , , , , и 9 other автор(ы). WMT, стр. 1-45. Association for Computational Linguistics, (2022)CUNI Submissions in WMT18., , и . WMT (shared task), стр. 431-437. Association for Computational Linguistics, (2018)To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation., , , , , и . WMT@EMNLP, стр. 478-494. Association for Computational Linguistics, (2021)