Effective features for disambiguation of Turkish verbs

Orhan Z., Altan Z.

5th International Enformatika Conference (IEC 05), Prague, Çek Cumhuriyeti, 26 - 28 Ağustos 2005, ss.182-186 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.182-186
  • İstanbul Üniversitesi Adresli: Hayır

Özet

This 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.