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Linguistically Motivated Evaluation of Machine Translation Metrics Based on a Challenge Set.

, and . WMT, page 514-529. Association for Computational Linguistics, (2022)

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Deeper Machine Translation and Evaluation for German., , , , and . DMTW, page 29-38. ÚFAL MFF UK, (2016)A Data Augmentation Approach for Sign-Language-To-Text Translation In-The-Wild., , and . LDK, volume 93 of OASIcs, page 36:1-36:8. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German-English Machine Translation Output., , , , , , , , and . LREC, page 936-947. European Language Resources Association, (2022)Neural Machine Translation Methods for Translating Text to Sign Language Glosses., , and . ACL (1), page 12523-12541. Association for Computational Linguistics, (2023)Linguistically Motivated Evaluation of Machine Translation Metrics Based on a Challenge Set., and . WMT, page 514-529. Association for Computational Linguistics, (2022)DFKI's system for WMT16 IT-domain task, including analysis of systematic errors.. WMT, page 415-422. The Association for Computer Linguistics, (2016)Learning from Human Judgments of Machine Translation Output., , , , , , and . MTSummit (Posters), (2013)Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT?, , , , , and . WMT, page 224-245. Association for Computational Linguistics, (2023)Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)., , , , , , , , , and 9 other author(s). WMT, page 68-94. Association for Computational Linguistics, (2023)Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet., , , , , , , , , and 11 other author(s). WMT, page 1-42. Association for Computational Linguistics, (2023)