• DocumentCode
    2654294
  • Title

    Building a large Persian Verb Collection: A generative approach

  • Author

    Khalifehsoltani, Sayed Nasir ; Cholmaghani, Ali ; Vahdani, Ali ; Moallemi, Reza

  • Author_Institution
    Dept. of Comput. Eng., SheikhBahee Univ., Isfahan, Iran
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    Persian is an Iranian language within the Indo-Iranian branch of the Indo-European languages which is one of the major languages in the Heart Land (Middle East). Nevertheless, there are proportionately few studies on retrieval and analyses of Persian documents. In this case, suitable resources for Persian are becoming a vital necessity for the progress of language engineering researches. In this paper we tried to make a Persian Verb Collection -as a linguistic resource- which is needed in some NLP researches like verb and sentence detection, POS tagging, Lexicography and etc. We used a generative approach for building this collection from Persian Stems by Verbal Structures.
  • Keywords
    information retrieval; natural language processing; Indo-European languages; Indo-Iranian branch; Iranian language; NLP researches; POS tagging; Persian document retrieval; Persian stems; Persian verb collection; language engineering researches; lexicography; linguistic resource; sentence detection; verb detection; verbal structures; Electronic switching systems; Heart; Mood; Morphology; Natural language processing; Natural languages; Optical computing; Tagging; Linguistic Resource; Natural Language Processing; Persian Language; Verb Conjugation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485686
  • Filename
    5485686