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Cost Weighting for Neural Machine Translation Domain Adaptation.

, , , and . NMT@ACL, page 40-46. Association for Computational Linguistics, (2017)

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Integrating bilingual lexicons in a probabilistic translation assistant., , and . MTSummit, (2001)Statistical machine translation: rapid development with limited resources., , , , , and . MTSummit, (2003)Adaptive Language and Translation Models for Interactive Machine Translation., , , and . EMNLP, page 190-197. ACL, (2004)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)Towards an automatic dictation system for translators : the transtalk project., , , , , and . ICSLP, page 691-694. ISCA, (1994)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)Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration., , and . EMNLP, page 12914-12929. Association for Computational Linguistics, (2023)French speech recognition in an automatic dictation system for translators: the transtalk project., , , , , , and . EUROSPEECH, page 193-196. ISCA, (1995)PORTAGE: with Smoothed Phrase Tables and Segment Choice Models., , , , , , and . WMT@HLT-NAACL, page 134-137. Association for Computational Linguistics, (2006)