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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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Neural Multi-Source Morphological Reinflection., , and . EACL (1), page 514-524. Association for Computational Linguistics, (2017)Self-Training for Unsupervised Parsing with PRPN., , and . IWPT 2020, page 105-110. Association for Computational Linguistics, (2020)Neural Morphological Analysis: Encoding-Decoding Canonical Segments., , and . EMNLP, page 961-967. The Association for Computational Linguistics, (2016)Morphological Processing of Low-Resource Languages: Where We Are and What's Next., , , , , , and . ACL (Findings), page 988-1007. Association for Computational Linguistics, (2022)Mind the Gap between the Application Track and the Real World., , , , , and . ACL (2), page 1833-1842. Association for Computational Linguistics, (2023)Unsupervised Morphological Paradigm Completion., , , , , and . ACL, page 6696-6707. Association for Computational Linguistics, (2020)Neural Unsupervised Parsing Beyond English., , , and . DeepLo@EMNLP-IJCNLP, page 209-218. Association for Computational Linguistics, (2019)AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas., , , , , , , , , and 8 other author(s). Frontiers Artif. Intell., (2022)A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse., , , , , , , , , and . UMAP, page 250-262. ACM, (2023)Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies., and . AACL/IJCNLP (Student Research Workshop), page 85-92. Association for Computational Linguistics, (2020)