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Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ...
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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UniMorph 3.0: Universal Morphology
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In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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UniMorph 3.0: Universal Morphology ...
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McCarthy, Arya D.; Kirov, Christo; Grella, Matteo; Nidhi, Amrit; Xia, Patrick; Gorman, Kyle; Vylomova, Ekaterina; Mielke, Sabrina J.; Nicolai, Garrett; Silfverberg, Miikka; Arkhangelskij, Timofey; Krizhanovsky, Natalya; Krizhanovsky, Andrew; Klyachko, Elena; Sorokin, Alexey; Mansfield, John; Ernštreits, Valts; Pinter, Yuval; Jacobs, Cassandra L.; Cotterell, Ryan; Hulden, Mans; Yarowsky, David. - : ETH Zurich, 2020
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Abstract:
The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological paradigms for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. We have implemented several improvements to the extraction pipeline which creates most of our data, so that it is both more complete and more correct. We have added 66 new languages, as well as new parts of speech for 12 languages. We have also amended the schema in several ways. Finally, we present three new community tools: two to validate data for resource creators, and one to make morphological data available from the command line. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland. This paper details advances made to the schema, tooling, and ... : Proceedings of the 12th Language Resources and Evaluation Conference ...
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Keyword:
lexical database; morphology; multilinguality
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URL: https://dx.doi.org/10.3929/ethz-b-000462327 http://hdl.handle.net/20.500.11850/462327
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Quantitative analysis of disfluency in children with autism spectrum disorder or language impairment
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Uh and um in Children With Autism Spectrum Disorders or Language Impairment
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Minimally Supervised Written-to-Spoken Text Normalization ...
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Real-Time Trends in the Texas English Vowel System: F2 Trajectory in GOOSE as an Index of a Variety's Ongoing Delocalization
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Generative phonotactics
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In: Dissertations available from ProQuest (2013)
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Preface
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In: University of Pennsylvania Working Papers in Linguistics (2010)
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The Consequences of Multicollinearity among Socioeconomic Predictors of Negative Concord in Philadelphia
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In: University of Pennsylvania Working Papers in Linguistics (2010)
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