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Large-scale Machine Translation Evaluation of the iADAATPA Project.

, , , , , , , , , , , и . MTSummit (2), стр. 179-185. European Association for Machine Translation, (2019)

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Sheila Kannookadan

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Does post-editing increase usability? A study with Brazilian Portuguese as target language., , , и . EAMT, стр. 183-190. European Association for Machine Translation, (2014)Improving Machine Translation of Educational Content via Crowdsourcing., , , , , , , , , и 4 other автор(ы). LREC, European Language Resources Association (ELRA), (2018)On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation.. WMT@EMNLP, стр. 1150-1159. Association for Computational Linguistics, (2020)Deep Dive Machine Translation., , , , , , , , , и 9 other автор(ы). European Language Equality, Springer, (2023)Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation., , , и . WMT, стр. 113-123. Association for Computational Linguistics, (2018)DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues., , , и . WMT@EMNLP, стр. 566-577. Association for Computational Linguistics, (2021)Do online Machine Translation Systems Care for Context? What About a GPT Model?, , , и . EAMT, стр. 393-417. European Association for Machine Translation, (2023)On Context Span Needed for Machine Translation Evaluation., , и . LREC, стр. 3735-3742. European Language Resources Association, (2020)Document-Level Machine Translation Evaluation Project: Methodology, Effort and Inter-Annotator Agreement.. EAMT, стр. 455-456. European Association for Machine Translation, (2020)Reading Comprehension of Machine Translation Output: What Makes for a Better Read?, и . EAMT, стр. 99-108. (2018)