• DocumentCode
    166179
  • Title

    A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language

  • Author

    Sawhney, Radhike ; Kaur, Amardeep

  • Author_Institution
    Chandigarh Univ., Chandigarh, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    2745
  • Lastpage
    2749
  • Abstract
    Word Sense Disambiguation (WSD) is a key factor in written and verbal communication of natural language processing. It is a method of selecting the appropriate sense of an ambiguous word in the given context. This paper aims at determining the correct sense of the given ambiguous word in Hindi language. A modified Lesk approach is used which uses the concept of dynamic context window. Dynamic context window is the number of left and right words of ambiguous word. The basic assumption of this approach is that the target word which has same meaning must have a common topic in its neighbourhood. Furthermore the improvement in precision shows that the proposed algorithm gives better results than the previous approaches which uses fixed size context window.
  • Keywords
    natural language processing; Hindi language; WSD; ambiguous word sense; common topic; dynamic context window; fixed size context window; left words; modified Lesk approach; natural language processing; precision improvement; right words; target word; verbal communication; word sense disambiguation; written communication; Context; Dictionaries; Heuristic algorithms; Knowledge based systems; Natural language processing; Semantics; Training; Hindi language disambiguation; Lesk; Natural Language Processing; WSD Lesk approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968470
  • Filename
    6968470