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A Universal Feature Schema for Rich Morphological Annotation and Fine-Grained Cross-Lingual Part-of-Speech Tagging.

, , , , and . SFCM, volume 537 of Communications in Computer and Information Science, page 72-93. Springer, (2015)

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Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms., , , and . LREC, European Language Resources Association (ELRA), (2016)Spelling convention sensitivity in neural language models., , and . EACL (Findings), page 1304-1316. Association for Computational Linguistics, (2023)Unsupervised Disambiguation of Syncretism in Inflected Lexicons., , , and . NAACL-HLT (2), page 548-553. Association for Computational Linguistics, (2018)SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection., , , , , , , , , and 18 other author(s). SIGMORPHON, page 1-39. Association for Computational Linguistics, (2020)The Specificity of Online Variation in Speech Production., and . CogSci, cognitivesciencesociety.org, (2012)Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration., , , , , , , , and . KDD, page 1975-1983. ACM, (2019)UniMorph 3.0: Universal Morphology., , , , , , , , , and 12 other author(s). LREC, page 3922-3931. European Language Resources Association, (2020)Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset., , , , , , and . LREC, page 2413-2423. European Language Resources Association, (2020)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , and 17 other author(s). EMNLP (Findings), page 1856-1884. Association for Computational Linguistics, (2023)Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate., and . Trans. Assoc. Comput. Linguistics, (2018)