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Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.

, , , , and . EACL (1), page 740-752. Association for Computational Linguistics, (2024)

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Prompting PaLM for Translation: Assessing Strategies and Performance., , , , , and . CoRR, (2022)Confidence estimation for NLP applications., , and . ACM Trans. Speech Lang. Process., 3 (3): 1-29 (2006)Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges., , , , , , , , , and 3 other author(s). CoRR, (2019)Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust., , , , , , , , , and . WMT, page 46-68. Association for Computational Linguistics, (2022)Towards an automatic dictation system for translators : the transtalk project., , , , , and . ICSLP, page 691-694. ISCA, (1994)Adaptive Language and Translation Models for Interactive Machine Translation., , , and . EMNLP, page 190-197. ACL, (2004)Statistical machine translation: rapid development with limited resources., , , , , and . MTSummit, (2003)Integrating bilingual lexicons in a probabilistic translation assistant., , and . MTSummit, (2001)The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance., , and . AMTA, Association for Machine Translation in the Americas, (2020)Prompting PaLM for Translation: Assessing Strategies and Performance., , , , , and . ACL (1), page 15406-15427. Association for Computational Linguistics, (2023)