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HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation.

, , , , , and . EMNLP/IJCNLP (1), page 1382-1387. Association for Computational Linguistics, (2019)

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A user study of neural interactive translation prediction., , and . Mach. Transl., 33 (1-2): 135-154 (2019)Neural Polysynthetic Language Modelling., , , , , , , , , and 11 other author(s). CoRR, (2020)NRC Systems for the 2020 Inuktitut-English News Translation Task., , , and . WMT@EMNLP, page 156-170. Association for Computational Linguistics, (2020)An Interactive Teaching Tool for Introducing Novices to Machine Translation., , , and . SIGCSE, page 1276. ACM, (2019)Translation Memories as Baselines for Low-Resource Machine Translation., and . LREC, page 6759-6767. European Language Resources Association, (2022)Metric Score Landscape Challenge (MSLC23): Understanding Metrics' Performance on a Wider Landscape of Translation Quality., , and . WMT, page 776-799. Association for Computational Linguistics, (2023)Like Chalk and Cheese? On the Effects of Translationese in MT Training., , and . MTSummit (1), page 103-113. Association for Machine Translation in the Americas, (2021)Data Sampling and (In)stability in Machine Translation Evaluation., and . ACL (Findings), page 13064-13074. Association for Computational Linguistics, (2023)Long to reign over us: A Case Study of Machine Translation and a New Monarch., and . ACL (Findings), page 6589-6598. Association for Computational Linguistics, (2023)Creating Interactive Macaronic Interfaces for Language Learning., , , and . ACL (System Demonstrations), page 133-138. Association for Computational Linguistics, (2016)