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Findings of the 2018 Conference on Machine Translation (WMT18).

, , , , , , and . WMT (shared task), page 272-303. Association for Computational Linguistics, (2018)

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TRECVID 2017: Evaluating Ad-hoc and Instance Video Search, Events Detection, Video Captioning and Hyperlinking., , , , , , , , , and 4 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2017)Gap Between Theory and Practice: Noise Sensitive Word Alignment in Machine Translation., , and . WAPA, volume 11 of JMLR Proceedings, page 119-126. JMLR.org, (2010)An Open Source Rule Induction Tool for Transfer-Based SMT., and . Prague Bull. Math. Linguistics, (2009)Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis., , , , and . CoRR, (2022)Randomized Significance Tests in Machine Translation., , and . WMT@ACL, page 266-274. The Association for Computer Linguistics, (2014)Findings of the 2022 Conference on Machine Translation (WMT22)., , , , , , , , , and 9 other author(s). WMT, page 1-45. Association for Computational Linguistics, (2022)Translating Pro-Drop Languages With Reconstruction Models., , , , , and . AAAI, page 4937-4945. AAAI Press, (2018)Assessing Human-Parity in Machine Translation on the Segment Level., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4199-4207. Association for Computational Linguistics, (2020)Crowd-Sourcing of Human Judgments of Machine Translation Fluency., , , and . ALTA, page 16-24. ACL, (2013)Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features., , and . SemEval@NAACL-HLT, page 133-137. The Association for Computer Linguistics, (2013)