Skip to main content
SpringerLink
Log in
Book cover

Vienna Conference on Human Computer Interaction

VCHCI 1993: Human Computer Interaction pp 407–408Cite as

Understanding natural Arabic text

  • Conference paper
  • First Online:

  • 314 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 733))

Abstract

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.

This is a preview of subscription content, log in via an institution.

References

  1. Alkhazin, Arab population at 2020, Al Hayat, No 10643, 29th March 1992, p 1.

    Google Scholar 

  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. Mehdi S.A., Arabic Language Parser, International Journal for Man-Machine Studies, 1986, 25, pp 593–611.

    Google Scholar 

  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. 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. Winston P. H, Artificial Intelligence, Third Edition, Addison wesly, 1992.

    Google Scholar 

  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 

Download references

Author information

Authors and Affiliations

  1. School of CIT, Greenwich University, SE18 6PF, London, UK

    M. Al-Khonaizi & A. Al-Zobaidie

  2. Department of Computer Science, University of Bahrain, P.O. Box 32038, Bahrain

    M. Al-A'ali

Authors
  1. M. Al-Khonaizi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Al-A'ali
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Al-Zobaidie
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Thomas Grechenig Manfred Tscheligi

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Al-Khonaizi, M., Al-A'ali, M., Al-Zobaidie, A. (1993). Understanding natural Arabic text. In: Grechenig, T., Tscheligi, M. (eds) Human Computer Interaction. VCHCI 1993. Lecture Notes in Computer Science, vol 733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57312-7_87

Download citation

  • DOI: https://doi.org/10.1007/3-540-57312-7_87

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57312-8

  • Online ISBN: 978-3-540-48052-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation