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Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent.

, , , , , , , , , , , , , and . WMT, page 578-628. Association for Computational Linguistics, (2023)

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Evaluating the translation of speech to virtually-performed sign language on AR glasses., , , and . QoMEX, page 141-144. IEEE, (2021)Linguistic Evaluation of German-English Machine Translation Using a Test Suite., , , and . WMT (2), page 445-454. Association for Computational Linguistics, (2019)Sentence-level quality estimation by predicting HTER as a multi-component metric.. WMT, page 534-539. Association for Computational Linguistics, (2017)Efforts on Machine Learning over Human-mediated Translation Edit Rate.. WMT@ACL, page 302-306. The Association for Computer Linguistics, (2014)Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination., and . BMC Syst. Biol., 11 (1): 40:1-40:23 (2017)DFKI's SC and MT submissions to IWSLT 2011., , , and . IWSLT, page 98-105. ISCA, (2011)Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena., , and . ACL (student), page 186-196. Association for Computational Linguistics, (2021)Deeper Machine Translation and Evaluation for German., , , , and . DMTW, page 29-38. ÚFAL MFF UK, (2016)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)