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Estimating post-editing time using a gold-standard set of machine translation errors., , and . Comput. Speech Lang., (2019)Improving the Translation Environment for Professional Translators., , , , , , , , , and 12 other author(s). Informatics, 6 (2): 24 (2019)Estimating word-level quality of statistical machine translation output using monolingual information alone., , and . Nat. Lang. Eng., 26 (1): 73-94 (2020)UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation., , and . WMT, page 843-850. The Association for Computer Linguistics, (2016)Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment., , and . EAMT, page 305-314. European Association for Machine Translation, (2023)Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars.. EAMT, page 281-282. European Association for Machine Translation, (2022)Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation., , and . Informatics, 8 (1): 7 (2021)Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation., and . Inf., 13 (1): 19 (2022)Smart Computer Aided Translation Environment - SCATE., , , , , , , , , and 3 other author(s). EAMT, European Association for Machine Translation, (2015)Dutch compound splitting for bilingual terminology extraction, and . Multi-word Units in Machine Translation and Translation Technology, John Benjamins, (2016)