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The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020.

, , , , , and . AMTA, page 110-115. Association for Machine Translation in the Americas, (2020)

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METEOR-NEXT and the METEOR Paraphrase Tables: Improved Evaluation Support for Five Target Languages., and . WMT@ACL, page 339-342. Association for Computational Linguistics, (2010)Turker-Assisted Paraphrasing for English-Arabic Machine Translation., , and . Mturk@HLT-NAACL, page 66-70. Association for Computational Linguistics, (2010)Extending the METEOR Machine Translation Evaluation Metric to the Phrase Level., and . HLT-NAACL, page 250-253. The Association for Computational Linguistics, (2010)Real time adaptive machine translation: cdec and TransCenter., , , and . WPTP@ATMA, Association for Machine Translation in the Americas, (2014)Sockeye 3: Fast Neural Machine Translation with PyTorch., , , , , , , , , and 4 other author(s). CoRR, (2022)The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References., , , , , , , , , and . WMT@ACL, page 70-77. The Association for Computer Linguistics, (2013)Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk., and . Mturk@HLT-NAACL, page 57-61. Association for Computational Linguistics, (2010)The Meteor metric for automatic evaluation of machine translation., and . Mach. Transl., 23 (2-3): 105-115 (2009)Stronger Baselines for Trustable Results in Neural Machine Translation., and . NMT@ACL, page 18-27. Association for Computational Linguistics, (2017)Choosing the Right Evaluation for Machine Translation: an Examination of Annotator and Automatic Metric Performance on Human Judgment Tasks., and . AMTA, Association for Machine Translation in the Americas, (2010)