Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/151505
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dc.contributor.authorArun Kumar, Rajappan Nair-
dc.contributor.authorPadró, Lluís-
dc.contributor.authorOliver, Antoni-
dc.date.accessioned2024-11-11T13:53:13Z-
dc.date.available2024-11-11T13:53:13Z-
dc.date.issued2015-
dc.identifier.citationKumar, A. [Mokhtar], Padró, L. [Lluís] & Oliver, A. [Antoni]. (2016). Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm. A Y. Lu, W. Chen, M. Zhang, M. Dong & B. Ma (ed.). 2015 International Conference on Asian Language Processing (IALP) (p. 45-48). Los Alamitos, CA: IEEE Computer Society-
dc.identifier.urihttp://hdl.handle.net/10609/151505-
dc.description.abstractIn this paper we describe a method of morphologically segment highly agglutinating and inflectional languages from the Dravidian family. We use the nested Pitman-Yor process to segment long agglutinated words into their basic components, and use a corpus based morpheme induction algorithm to perform morpheme segmentation. We test our method on two languages, Malayalam and Kannada and compare the results with Morfessor-baseline.en
dc.format.mimetypeapplication/pdfca
dc.language.isoengen
dc.publisherIEEE-
dc.relation.ispartofIALP 2015: 19th International Conference on Asian Language Processing: Suzhow, China 24-25 Octubre de 2015ca
dc.rightsCC BY-NC-ND-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectNested Pitman-Yor Processen
dc.subjectagglutinated morphologyen
dc.subjectIndian languagesca
dc.titleUnsupervised learning of agglutinated morphology using Nested Pitman-Yor Process based Morpheme Induction Algorithmca
dc.typeinfo:eu-repo/semantics/conferenceObjectca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.gir.idCO/0000003972-
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