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Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models.

, , , , , , , and . EACL, page 3894-3908. Association for Computational Linguistics, (2023)

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On the Uncomputability of Partition Functions in Energy-Based Sequence Models., and . ICLR, OpenReview.net, (2022)Weird Inflects but OK: Making Sense of Morphological Generation Errors., , , , , and . CoNLL, page 140-151. Association for Computational Linguistics, (2019)Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation., , , and . ACL, page 8512-8525. Association for Computational Linguistics, (2020)FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning., , , , , , , , , and . CoRR, (2024)Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade., , , , , and . IWSLT, Association for Computational Linguistics, (2019)UniMorph 4.0: Universal Morphology., , , , , , , , , and 85 other author(s). CoRR, (2022)Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages., , , , , and . LREC, page 3963-3972. European Language Resources Association, (2020)Massively Multilingual Pronunciation Modeling with WikiPron., , , , , , , and . LREC, page 4223-4228. European Language Resources Association, (2020)Theory-Grounded Computational Text Analysis., and . ACL (2), page 1586-1594. Association for Computational Linguistics, (2023)Metrics Matter in Community Detection., , , and . COMPLEX NETWORKS (1), volume 881 of Studies in Computational Intelligence, page 164-175. Springer, (2019)