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dc.contributor.authorOrhan, Z
dc.contributor.authorAltan, Z
dc.date.accessioned2021-03-04T13:13:43Z
dc.date.available2021-03-04T13:13:43Z
dc.identifier.citationOrhan Z., Altan Z., "Effective features for disambiguation of Turkish verbs", 5th International Enformatika Conference (IEC 05), Prague, Çek Cumhuriyeti, 26 - 28 Ağustos 2005, ss.182-186
dc.identifier.othervv_1032021
dc.identifier.otherav_7b46fced-584f-4d39-8ba7-3e14a35a2fd6
dc.identifier.urihttp://hdl.handle.net/20.500.12627/84430
dc.description.abstractThis paper summarizes the results of some experiments for finding the effective features for disambiguation of Turkish verbs. Word sense disambiguation is a current area of investigation in which verbs have the dominant role. Generally verbs have more senses than the other types of words in the average and detecting these features for verbs may lead to some improvements for other word types. In this paper we have considered only the syntactical features that can be obtained from the corpus and tested by using some famous machine learning algorithms.
dc.language.isoeng
dc.subjectAlgoritmalar
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectMühendislik ve Teknoloji
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectBilgisayar Bilimleri
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleEffective features for disambiguation of Turkish verbs
dc.typeBildiri
dc.contributor.department, ,
dc.contributor.firstauthorID130368


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