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Findings of the WMT 2023 Shared Task on Automatic Post-Editing.

, , , , , and . WMT, page 672-681. Association for Computational Linguistics, (2023)

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Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation., , and . RANLP, page 371-377. RANLP 2011 Organising Committee, (2011)Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages., , and . VarDial@COLING, page 36-46. International Committee on Computational Linguistics (ICCL), (2020)ALTN: Word Alignment Features for Cross-lingual Textual Entailment., and . SemEval@NAACL-HLT, page 128-132. The Association for Computer Linguistics, (2013)On Neural Forecasting and News Emotions: The Case of the Spanish Stock Market., , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 189-194. Springer, (2021)Learning Performance of a Machine Translation System: a Statistical and Computational Analysis., , and . WMT@ACL, page 35-43. Association for Computational Linguistics, (2008)Findings of the WMT 2022 Shared Task on Automatic Post-Editing., , , , , and . WMT, page 109-117. Association for Computational Linguistics, (2022)Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation., , and . EAMT, page 235-244. European Association for Machine Translation, (2020)Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation., , , , and . EAMT, page 169-178. (2018)Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology., , , , , and . EAMT, page 359-360. European Association for Machine Translation, (2022)Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario., , , , and . EACL (2), page 280-284. Association for Computational Linguistics, (2017)