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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)

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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)Extending the METEOR Machine Translation Evaluation Metric to the Phrase Level., and . HLT-NAACL, page 250-253. The 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)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)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 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)Challenges in Predicting Machine Translation Utility for Human Post-Editors., and . AMTA, Association for Machine Translation in the Americas, (2020)Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems., and . WMT@EMNLP, page 85-91. Association for Computational Linguistics, (2011)Meteor Universal: Language Specific Translation Evaluation for Any Target Language., and . WMT@ACL, page 376-380. The Association for Computer Linguistics, (2014)