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XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment.

, , , , and . EMNLP (1), page 10424-10430. Association for Computational Linguistics, (2021)

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Findings of the 2020 Conference on Machine Translation (WMT20), , , , , , , , , and 11 other author(s). Proceedings of the Fifth Conference on Machine Translation, page 1--55. Online, Association for Computational Linguistics, (November 2020)On the Evaluation of Machine Translation for Terminology Consistency., , , , , , and . CoRR, (2021)Statistical machine translation with the Moses toolkit., , and . AMTA (Tutorials), Association for Machine Translation in the Americas, (2014)Translation of Unknown Words in Low Resource Languages., , and . AMTA (1), page 163-176. The Association for Machine Translation in the Americas, (2016)Interpolated Backoff for Factored Translation Models., and . AMTA, Association for Machine Translation in the Americas, (2020)Consistent Human Evaluation of Machine Translation across Language Pairs., , , , , and . AMTA, page 309-321. Association for Machine Translation in the Americas, (2022)Enriching Morphologically Poor Languages for Statistical Machine Translation., and . ACL, page 763-770. The Association for Computer Linguistics, (2008)The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English., , , , , , , and . EMNLP/IJCNLP (1), page 6097-6110. Association for Computational Linguistics, (2019)Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport., , , , and . EMNLP, page 2545-2561. Association for Computational Linguistics, (2022)Language Model Rest Costs and Space-Efficient Storage., , and . EMNLP-CoNLL, page 1169-1178. ACL, (2012)