• Author/Authors

    AYGÜL, Mustafa Yıldız Teknik Üniversitesi - Elektrik-Elektronik Fakültesi - Bilgisayar Müh Bölümü, Turkey , KARAALİOĞLU, Gürkan Yıldız Teknik Üniversitesi - Elektrik-Elektronik Fakültesi - Bilgisayar Müh Bölümü, Turkey , AMASYALI, M. Fatih Yıldız Teknik Üniversitesi - Elektrik-Elektronik Fakültesi - Bilgisayar Müh Bölümü, Turkey

  • Title Of Article

    PREDICTION OF FUNCTION TAGS OF THE SIMPLE TURKISH SENTENCES BY CONDITIONAL RANDOM FIELDS

  • شماره ركورد
    41608
  • Abstract
    The prediction of function tags is a key component of several natural language tasks. In this study, Conditional Random Fields are employed for Turkish sentences. The affects of the size of training set, the usage of morphological features of the words are investigated. As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.
  • From Page
    23
  • NaturalLanguageKeyword
    Natural language processing , dependency parsing , artificial intelligence , sequence labeling , conditional random fields
  • JournalTitle
    Sigma Journal Of Engineering and Natural Sciences
  • To Page
    30
  • JournalTitle
    Sigma Journal Of Engineering and Natural Sciences