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Bilingual Methods for Adaptive Training Data Selection for Machine Translation.

, , , , and . AMTA (1), page 93-106. The Association for Machine Translation in the Americas, (2016)

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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)Towards an automatic dictation system for translators : the transtalk project., , , , , and . ICSLP, page 691-694. ISCA, (1994)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)PORTAGE: with Smoothed Phrase Tables and Segment Choice Models., , , , , , and . WMT@HLT-NAACL, page 134-137. Association for Computational Linguistics, (2006)Vector Space Model for Adaptation in Statistical Machine Translation., , and . ACL (1), page 1285-1293. The Association for Computer Linguistics, (2013)Bilingual Methods for Adaptive Training Data Selection for Machine Translation., , , , and . AMTA (1), page 93-106. The Association for Machine Translation in the Americas, (2016)Adaptive Language and Translation Models for Interactive Machine Translation., , , and . EMNLP, page 190-197. ACL, (2004)Prompting PaLM for Translation: Assessing Strategies and Performance., , , , , and . ACL (1), page 15406-15427. Association for Computational Linguistics, (2023)