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dc.contributor.authorHammond, Michael
dc.date.accessioned2017-01-11T23:54:54Z
dc.date.available2017-01-11T23:54:54Z
dc.date.issued2016-01-01
dc.identifier.citationPredicting the gender of Welsh nouns 2016, 12 (2) Corpus Linguistics and Linguistic Theoryen
dc.identifier.issn1613-7027
dc.identifier.issn1613-7035
dc.identifier.doi10.1515/cllt-2015-0001
dc.identifier.urihttp://hdl.handle.net/10150/621926
dc.description.abstractWelsh grammatical gender exhibits several unusual properties. This paper argues that these properties are necessarily connected. The argument is based on a series of corpus investigations using techniques from statistical natural language processing, specifically distinguishing properties that exhibit significant statistical patterns from those which can be used to make useable predictions. Specifically, it’s shown that the grammatical properties of Welsh gender are such that its unusual statistical properties follow.
dc.language.isoenen
dc.publisherDE GRUYTER MOUTONen
dc.relation.urlhttp://www.degruyter.com/view/j/cllt.2016.12.issue-2/cllt-2015-0001/cllt-2015-0001.xmlen
dc.rightsCopyright © 2015, Walter de Gruyter GmbHen
dc.subjectWelshen
dc.subjectgrammatical genderen
dc.subjectlearningen
dc.subjectmutationen
dc.titlePredicting the gender of Welsh nounsen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Linguisten
dc.identifier.journalCorpus Linguistics and Linguistic Theoryen
dc.description.note12 month embargo. First published online 17 October 2015.en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2016-10-18T00:00:00Z
html.description.abstractWelsh grammatical gender exhibits several unusual properties. This paper argues that these properties are necessarily connected. The argument is based on a series of corpus investigations using techniques from statistical natural language processing, specifically distinguishing properties that exhibit significant statistical patterns from those which can be used to make useable predictions. Specifically, it’s shown that the grammatical properties of Welsh gender are such that its unusual statistical properties follow.


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