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文章基本信息

  • 标题:Effective Features for Disambiguation of Turkish Verbs
  • 本地全文:下载
  • 作者:Zeynep Orhan, Zeynep Altan
  • 期刊名称:International Journal of Human and Social Sciences
  • 印刷版ISSN:1307-8046
  • 出版年度:2007
  • 卷号:01
  • 期号:03
  • 页码:151-151
  • 出版社:World Academy of Science, Engineering and Technology
  • 摘要: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.
  • 关键词:Word sense disambiguation, feature selection.
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