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POS tagging in Amazigh using support vector machines and conditional random fields

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POS tagging in Amazigh using support vector machines and conditional random fields

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dc.contributor.author Outahajala, Mohamed es_ES
dc.contributor.author Benajiba, Yassine es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Zenkouar, Lahbib es_ES
dc.date.accessioned 2014-05-16T13:06:42Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-22326-6
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/37525
dc.description.abstract The aim of this paper is to present the first Amazighe POS tagger. Very few linguistic resources have been developed so far for Amazighe and we believe that the development of a POS tagger tool is the first step needed for automatic text processing. The used data have been manually collected and annotated. We have used state-of-art supervised machine learning approaches to build our POS-tagging models. The obtained accuracy achieved 92.58% and we have used the 10-fold technique to further validate our results. © Springer-Verlag Berlin Heidelberg 2011 es_ES
dc.description.sponsorship We would like to thank all IRCAM researchers for their valuable assistance. The work of the third author was funded by the MICINN research project TEXT-ENTERPRISE 2.0 TIN2009-13391-C04-03 (Plan I+D+i).
dc.format.extent 4 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Natural Language Processing and Information Systems es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;6716
dc.rights Reserva de todos los derechos es_ES
dc.subject POS tagging es_ES
dc.subject Amazighe language es_ES
dc.subject Supervised learning es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title POS tagging in Amazigh using support vector machines and conditional random fields es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-22327-3_28
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Outahajala, M.; Benajiba, Y.; Rosso, P.; Zenkouar, L. (2011). POS tagging in Amazigh using support vector machines and conditional random fields. En Natural Language Processing and Information Systems. Springer Verlag (Germany). 6716:238-241. https://doi.org/10.1007/978-3-642-22327-3_28 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011 es_ES
dc.relation.conferencedate June 28-30, 2011 es_ES
dc.relation.conferenceplace Alicante, Spain es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-22327-3_28 es_ES
dc.description.upvformatpinicio 238 es_ES
dc.description.upvformatpfin 241 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6716 es_ES
dc.relation.senia 217575
dc.contributor.funder Ministerio de Ciencia e Innovación


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