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Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment.

, , , , , and . WMT@EMNLP, page 726-742. Association for Computational Linguistics, (2020)

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Review of Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (eds): Learning machine translation.. Mach. Transl., 23 (4): 269-271 (2009)Character-Aware Decoder for Neural Machine Translation., , , and . CoRR, (2018)An Experimental Management System.. Prague Bull. Math. Linguistics, (2010)Tico-19: the translation initiative for covid-19, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2007.01788, (2020)Document-Level Adaptation for Neural Machine Translation., , and . NMT@ACL, page 64-73. Association for Computational Linguistics, (2018)Simulating human judgment in machine translation evaluation campaigns.. IWSLT, page 179-184. ISCA, (2012)The University of Edinburgh system description for IWSLT 2007., and . IWSLT, page 43-48. ISCA, (2007)Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation., , , , and . NAACL-HLT (Findings), page 1409-1420. Association for Computational Linguistics, (2022)Evaluating Saliency Methods for Neural Language Models., and . NAACL-HLT, page 5034-5052. Association for Computational Linguistics, (2021)Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation., , and . WMT, page 32-42. The Association for Computer Linguistics, (2016)