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Context-Aware Monolingual Repair for Neural Machine Translation.

, , and . EMNLP/IJCNLP (1), page 877-886. Association for Computational Linguistics, (2019)

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Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method., , , and . LREC, European Language Resources Association (ELRA), (2018)Improving Machine Translation of Educational Content via Crowdsourcing., , , , , , , , , and 4 other author(s). LREC, European Language Resources Association (ELRA), (2018)Controlling Politeness in Neural Machine Translation via Side Constraints., , and . HLT-NAACL, page 35-40. The Association for Computational Linguistics, (2016)Towards Unsupervised Recognition of Semantic Differences in Related Documents., and . CoRR, (2023)A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation., and . IJCNLP(2), page 314-319. Asian Federation of Natural Language Processing, (2017)The University of Edinburgh's Submissions to the WMT18 News Translation Task., , , , , , , and . WMT (shared task), page 399-409. Association for Computational Linguistics, (2018)Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts., , and . LTC, volume 8387 of Lecture Notes in Computer Science, page 189-200. Springer, (2011)Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models., , and . EMNLP (1), page 8556-8562. Association for Computational Linguistics, (2021)Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias., and . EMNLP (1), page 10246-10265. Association for Computational Linguistics, (2021)NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures., and . EMNLP (Findings), page 198-213. Association for Computational Linguistics, (2022)