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The Fifth PASCAL Recognizing Textual Entailment Challenge., , , , and . TAC, NIST, (2009)Gender Bias in Machine Translation., , , , and . CoRR, (2021)EnetCollect in Italy., , , , , , , and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Evaluating Cross-Language Annotation Transfer in the MultiSemCor Corpus., , and . COLING, (2004)Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology., , , , , and . EAMT, page 359-360. European Association for Machine Translation, (2022)The IWSLT 2015 Evaluation Campaign., , , , , and . IWSLT (Evaluation Campaign), (2015)Textual entailment graphs., , , and . Nat. Lang. Eng., 21 (5): 699-724 (2015)Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models., , , and . EMNLP, page 1643-1653. ACL, (2014)How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3576-3589. Association for Computational Linguistics, (2021)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , and 51 other author(s). IWSLT@ACL, page 1-61. Association for Computational Linguistics, (2023)