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1
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset ...
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3
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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 dissemination of project resources since the UniMorph 2.0 release described at LREC 2018.
Keyword: lexical database; morphology; multilinguality
URL: https://hdl.handle.net/20.500.11850/462327
https://doi.org/10.3929/ethz-b-000462327
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4
UniMorph 3.0: Universal Morphology ...
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5
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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6
On the Complexity and Typology of Inflectional Morphological Systems
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
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7
On the Complexity and Typology of Inflectional Morphological Systems ...
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8
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate ...
Kirov, Christo; Cotterell, Ryan. - : arXiv, 2018
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9
Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
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10
Quantifying the Trade-off Between Two Types of Morphological Complexity
In: Proceedings of the Society for Computation in Linguistics (2018)
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11
Paradigm Completion for Derivational Morphology ...
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12
Grammatical Influences in a Bayesian Speech Production Framework
In: Kirov, Christo. (2014). Grammatical Influences in a Bayesian Speech Production Framework. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/28w3h0jx (2014)
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13
A Bayesian Approach to Speech Production
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14
Bayesian Speech Production: Evidence from Latency and Hyperarticulation
In: Kirov, Christo; & Wilson, Colin. (2013). Bayesian Speech Production: Evidence from Latency and Hyperarticulation. Proceedings of the Cognitive Science Society, 35(35). Retrieved from: http://www.escholarship.org/uc/item/5296p4d1 (2013)
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15
Processing of nested and cross-serial dependencies: an automaton perspective on SRN behaviour
In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 24 (2012) 1, 1-24
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16
The Specificity of Online Variation in Speech Production
In: Kirov, Christo; & Wilson, Colin. (2012). The Specificity of Online Variation in Speech Production. Proceedings of the Cognitive Science Society, 34(34). Retrieved from: http://www.escholarship.org/uc/item/9mz1d1tx (2012)
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