• DocumentCode
    2675430
  • Title

    Identification of syntactic ambiguities in Pashto text

  • Author

    Bilal, Muhammad ; Khan, Mohammad Abid ; Ali, Rahman

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Peshawar, Peshawar, Pakistan
  • fYear
    2009
  • fDate
    19-20 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Natural languages are inherently ambiguous. For a machine translation system, it is an essential task to resolve the ambiguities in the source language. Before resolution of ambiguities, their identification is an essential task. This research paper is about the classification and identification of syntactic ambiguities in Pashto text. Here, the identification is based on the parse trees build by the parser for the ambiguous phrases. An algorithm is proposed which correctly identifies syntactic ambiguities with a success rate of 64.3%.
  • Keywords
    grammars; natural languages; Pashto text; machine translation system; natural languages; parse trees; source language ambiguity; syntactic ambiguities identification; Books; Computer science; Natural language processing; Natural languages; Testing; Algorithm; Ambiguity; Pashto; Syntactic Ambiguity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2009. ICET 2009. International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-5630-7
  • Electronic_ISBN
    978-1-4244-5631-4
  • Type

    conf

  • DOI
    10.1109/ICET.2009.5353211
  • Filename
    5353211