Understanding natural Arabic text

  • Al-Khonaizi M. 
  • Al-A'ali M. 
  • Al-Zobaidie A. 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 733)


Recent research indicate that achieved work in natural Arabic text understanding is still in its infancy. Related work in both Arabic and some other languages have been surveyed and a new approach to allow processing the natural Arabic text is proposed. In most natural languages, while classifying words according to their categories is the role of the Parsers, the rich semantic available in the Arabic language obviate the need of the parser. The proposed approach is based on classifying words into categories of Bases and represents them as a form of Semantic Network. New words can be deduced and used later to answer queries.


  1. 1.
    Alkhazin, Arab population at 2020, Al Hayat, No 10643, 29th March 1992, p 1.Google Scholar
  2. 2.
    El-Naggar A., A finite state automata of the Arabic grammar, The proceedings of IEEE international workshop on tools for Artificial Intelligence: Architectures, Languages and Algorithms, 1989, p. 693–9.Google Scholar
  3. 3.
    Mehdi S.A., Arabic Language Parser, International Journal for Man-Machine Studies, 1986, 25, pp 593–611.Google Scholar
  4. 4.
    Li-Li Chang; Juei-Chu Huang; et.al., Classifications and cooccurrence restrictions in Chinese simple noun phrase, The Proceedings of International conference on Chinese and oriented language computing, pp 107–110.Google Scholar
  5. 5.
    Frail, R.P.; Freedman, R.S., Text classification in fragmented sublanguage domains, Proceedings. Seventh IEEE Conference on Artificial Intelligence Applications, p. 33–6.Google Scholar
  6. 6.
    Winston P. H, Artificial Intelligence, Third Edition, Addison wesly, 1992.Google Scholar
  7. 7.
    Alkhonaizi, M.; Alaali, M.; Alzobaidie, A., Al-Khabier Al-Arabie, The proceeding of the Second National Expert Systems and Development Workshop ESADW-93, Cairo, 2–6 May, 1993, pages 193–200.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Al-Khonaizi M. 
    • 1
  • Al-A'ali M. 
    • 2
  • Al-Zobaidie A. 
    • 1
  1. 1.School of CITGreenwich UniversityLondonUK
  2. 2.Department of Computer ScienceUniversity of BahrainBahrain

Personalised recommendations