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Design of Syntactical Morphological and Semantical Analyzer (SMSA) for Processing Arabic Texts

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Intelligence and Security Informatics (ISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3975))

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Abstract

This research describes an ongoing expert system developed for Natural Language Processing (NLP), and presents an approach for Arabic language manipulation, which integrates Syntactical Morphological and Semantical Analyzer (SMSA). Informational goal of SMSA is processing Arabic language from its inductive database, which is organized without dictionary.

Search engine isbuilt up as a high performance linguistic engine that facilitates analyses of written texts in Arabic language, performs full linguistic processing on text, and generates robust parser for Arabic sentences. Learned knowledge is represented in form of rules and facts. Reasoning and inference are accredited to aid grammar induction containing syntactical, morphological and semantical rules, which are conducive towards language processing.

Arabic sentences are divided into two main parts: statement sentence and composition sentence. In turn, statement sentence is divided into a noun, verbal, and conditional sentences. Composition sentence is splited up into imperative and expletive composition. Words are divided into two parts: possession and functional words, also verbs and nouns are sorted in semantical groups.

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Author information

Authors and Affiliations

  1. Faculty of Informatics Engineering, University of Aleppo, Aleppo, Syria

    Samar Mouti

  2. Cognitive and Neural Systems Department, University of Boston, 677 Beacon Street, Boston, MA, 02215, USA

    Fadel Sukkar

Authors
  1. Samar Mouti
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  2. Fadel Sukkar
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Editor information

Editors and Affiliations

  1. School of Information and Computer Science, University of California, Irvine

    Sharad Mehrotra

  2. MIS Department, University of Arizona, 85721, Tucson, AZ, USA

    Daniel D. Zeng

  3. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  4. University of Texas at Dallas,  

    Bhavani Thuraisingham

  5. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Mouti, S., Sukkar, F. (2006). Design of Syntactical Morphological and Semantical Analyzer (SMSA) for Processing Arabic Texts. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_70

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  • DOI: https://doi.org/10.1007/11760146_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34478-0

  • Online ISBN: 978-3-540-34479-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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