• DocumentCode
    3582801
  • Title

    Revisiting Arabic Part of Speech Tagsets

  • Author

    Elhadj, Yahya O. M. ; Abdelali, Ahmed ; Bouziane, Rachid ; Ammar, Adel H.

  • Author_Institution
    Center for Arabic & Islamic Comput., Al Imam Mohammad Univ., Riyadh, Saudi Arabia
  • fYear
    2014
  • Firstpage
    793
  • Lastpage
    802
  • Abstract
    Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English. In this paper we present an effort of proposing a revised categories for Arabic POS tags that would take into consideration the richness of the language as well as its compatibility for automatic processing.
  • Keywords
    grammars; natural language processing; Arabic POS tags; Arabic part of speech taggers; automatic processing; grammatical category; natural language processing; Compounds; Computational linguistics; Context; Hidden Markov models; Pragmatics; Speech; Tagging; Arabic Language; Linguistic Features; Morphology; Natural Language Processing; Part of Speech; Syntax; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/AICCSA.2014.7073282
  • Filename
    7073282
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3582801