Verb detection in Turkish using logistic regression analysis

dc.contributor.authorMetin S.K.
dc.contributor.authorKişla T.
dc.contributor.authorKaraog¨lan B.
dc.date.accessioned2019-10-26T22:17:02Z
dc.date.available2019-10-26T22:17:02Z
dc.date.issued2011
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this paper, we investigated the features which discriminates verbs in Turkish. Though, words in Turkish can be classified in eight different linguistic categories (noun, verb, adjective, pronoun, adverb, postposition, conjunction and interjection), they can be discriminated in two fundamental groups as nouns and verbs. We have utilized logistic regression method to determine and compare the features based on sentence and word properties considering that all linguistic categories except verbs can be merged into the to the noun originated group. The strength of both categorical (such as inclusion of capital letters, apostrophes) and numerical features (such as position in sentence) in verb discrimination are examined and results are presented. We believe that this study may contribute to the time consuming rule based or probabilistic POS tagging applications since logistic regression analysis gives an immediate foresight of verbs. © 2011 Praise Worthy Prize S.r.l.en_US
dc.identifier.endpage65en_US
dc.identifier.issn1828-6003
dc.identifier.issn1828-6003en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage60en_US
dc.identifier.urihttps://hdl.handle.net/11454/19455
dc.identifier.volume6en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Review on Computers and Softwareen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLogistic regressionen_US
dc.subjectPOS taggingen_US
dc.subjectTurkishen_US
dc.titleVerb detection in Turkish using logistic regression analysisen_US
dc.typeArticleen_US

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