• ISSN: 2010-3646
    • Abbreviated Title: Int. J. Social. Scienc. Humanit.
    • Frequency: Bimonthly (2011-2014); Monthly (2015-2018); Quarterly (Since 2019)
    • DOI: 10.18178/IJSSH
    • Editor-in-Chief: Prof. Aurica Briscaru
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing: Google Scholar, Index Copernicus, Crossref, Electronic Journals Library
    • E-mail: ijssh@ejournal.net
IJSSH 2016 Vol.6(5): 341-346 ISSN: 2010-3646
DOI: 10.7763/IJSSH.2016.V6.669

Bel-Arabi: Advanced Arabic Grammar Analyzer

Michael Nawar Ibrahim, Mahmoud N. Mahmoud, and Dina A. El-Reedy
Abstract—This paper proposes a framework to automate the grammar analysis of Arabic language sentences ( .(إعراب الجمل The grammar analysis is considered one of the complex tasks in the Natural Language Processing (NLP) field; since it determines the relation between noun and verb on the level of sentence, or noun with the letter before it or after it or noun and a character on the last level of the preposition. The construction of a rule-based high-accuracy grammar analyzer is a complex, high resource consuming task. Then, we proposed a hybrid system between learning-based approaches and rule-based approaches, which provides an acceptable accuracy and could be simply implemented. However the results of the proposed framework are really promising and it has the potential to be further improved.

Index Terms—Arabic natural language processing, case ending diacritization, grammar analyzer.

M. N. Nawar, M. N. Mahmoud, and D. A. El-Reedy are with the Computer Engineering Department, University of Cairo, Giza, 12613 Egypt (e-mail: michael.nawar@eng.cu.edu.eg, mah.nabil@ieee.org, dina.elreedy@gmail.com).


Cite: Michael Nawar Ibrahim, Mahmoud N. Mahmoud, and Dina A. El-Reedy, " Bel-Arabi: Advanced Arabic Grammar Analyzer," International Journal of Social Science and Humanity vol. 6, no. 5, pp. 341-346, 2016.

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