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MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance.

, , , , , , and . NLPCC/ICCPOL, volume 10102 of Lecture Notes in Computer Science, page 153-161. Springer, (2016)

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An Open Source Rule Induction Tool for Transfer-Based SMT., and . Prague Bull. Math. Linguistics, (2009)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)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)Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis., , , , and . CoRR, (2022)Crowd-Sourcing of Human Judgments of Machine Translation Fluency., , , and . ALTA, page 16-24. ACL, (2013)Translating Pro-Drop Languages With Reconstruction Models., , , , , and . AAAI, page 4937-4945. AAAI Press, (2018)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)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)Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering., , , and . ACL (student), page 50-56. Association for Computational Linguistics, (2023)