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dc.contributor.authorNoferesti, Samira
dc.contributor.authorShamsfard, Mehrnoush
dc.date2014-06
dc.date.accessioned2020-01-29T12:38:18Z
dc.date.available2020-01-29T12:38:18Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/9784
dc.description.abstractIn the Persian language, an Ezafe construction is a linking element which joins the head of a phrase to its modifiers. The Ezafe in its simplest form is pronounced as –e, but generally not indicated in writing. Determining the position of an Ezafe is advantageous for disambiguating the boundary of the syntactic phrases which is a fundamental task in most natural language processing applications. This paper introduces a framework for combining genetic algorithms with rule-based models that brings the advantages of both approaches and overcomes their problems. This framework was used for recognizing the position of Ezafe constructions in Persian written texts. At the first stage, the rule-based model was applied to tag some tokens of an input sentence. Then, in the second stage, the search capabilities of the genetic algorithm were used to assign the Ezafe tag to untagged tokens using the previously captured training information. The proposed framework was evaluated on Peykareh corpus and it achieved 95.26 percent accuracy. Test results show that this proposed approach outperformed other approaches for recognizing the position of Ezafe constructions.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 02, nº 06
dc.relation.urihttps://www.ijimai.org/journal/node/608es_ES
dc.rightsopenAccesses_ES
dc.subjectezafe constructiones_ES
dc.subjectgenetic algorithmes_ES
dc.subjectgenitive constructiones_ES
dc.subjectrule-based modeles_ES
dc.subjectIJIMAIes_ES
dc.titleA Hybrid Algorithm for Recognizing the Position of Ezafe Constructions in Persian Textses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://dx.doi.org/10.9781/ijimai.2014.262


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