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Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension., and . CoRR, (2023)Assessing Reference-Free Peer Evaluation for Machine Translation., , , and . NAACL-HLT, page 1158-1171. Association for Computational Linguistics, (2021)Controlling Text Complexity in Neural Machine Translation., and . EMNLP/IJCNLP (1), page 1549-1564. Association for Computational Linguistics, (2019)In-context Examples Selection for Machine Translation., , , , and . CoRR, (2022)AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages., , , , , , , , , and 47 other author(s). CoRR, (2023)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , and 51 other author(s). IWSLT@ACL, page 1-61. Association for Computational Linguistics, (2023)Controlling Translation Formality Using Pre-trained Multilingual Language Models., , and . IWSLT@ACL, page 327-340. Association for Computational Linguistics, (2022)An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models., and . ACL (1), page 7550-7563. Association for Computational Linguistics, (2022)A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3757-3769. Association for Computational Linguistics, (2021)Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors., , , , , , and . EMNLP, page 11633-11647. Association for Computational Linguistics, (2023)