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Online Word Alignment for Online Adaptive Machine Translation.

, , и . HaCaT@EACL, стр. 84-92. Association for Computational Linguistics, (2014)

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Is Context Helpful for Chat Translation Evaluation?, , , , и . CoRR, (2024)Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation., , , , и . EAMT, стр. 169-178. (2018)Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario., , , , и . EACL (2), стр. 280-284. Association for Computational Linguistics, (2017)Unbabel-IST at the WMT Chat Translation Shared Task., , , , и . WMT, стр. 943-948. Association for Computational Linguistics, (2022)Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task., , , , , , , и . WMT (3), стр. 78-84. Association for Computational Linguistics, (2019)Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing., , , , и . WMT (3), стр. 118-123. Association for Computational Linguistics, (2019)Continuous Learning from Human Post-Edits for Neural Machine Translation., , , и . Prague Bull. Math. Linguistics, (2017)Online Word Alignment for Online Adaptive Machine Translation., , и . HaCaT@EACL, стр. 84-92. Association for Computational Linguistics, (2014)FBK's Neural Machine Translation Systems for IWSLT 2016., , , , , , , , , и . IWSLT, International Workshop on Spoken Language Translation, (2016)WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation on Rare Words., , , и . LREC, European Language Resources Association (ELRA), (2016)