E-Assessment System Based on Natural Language Processing for Arabic Language

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-19 Number-2
Year of Publication : 2015
Authors : Dalila SOUILEM , Abdelkarim ABDELKADER , Rafik BRAHAM


Dalila SOUILEM , Abdelkarim ABDELKADER , Rafik BRAHAM "E-Assessment System Based on Natural Language Processing for Arabic Language". International Journal of Computer Trends and Technology (IJCTT) V19(2):91-98, Jan 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In this paper, we focus on the application of Natural Language Processing (NLP) in an e-assessment system for Arabic language. The development of some linguistic tools as lexicon, morphological analyzer and parser is crucial. Lexicon represents the most important resources for the system Morphological analyzer represents a decomposition, an analysis and research tool for Arab texts. But other evaluation activities require a parsing system. Parsing is a fundamental step in the process of automatic analysis of natural languages. In this paper we describe, firstly the building of a lexicon of Arabic language using the Head Driven phrase Structure Grammar (HPSG) formalism. The lexicon is represented in XML as a list of item elements, and it lists several lexical properties which are specifically targeted at morphological analysis. It also specifies morphological, syntactic and semantic features (such as gender or number), which can be used by parser and assessment system. Also we explain the ascendant approach design of parser and we give an idea on the experimentation of the realized system and its integration in e-learning environment.

[1] A.ABDELKADER, D. SOUILEM BOUMIZA, R. BRAHAM, 2014. «E-assessment System Based on IMS QTI for the Arabic Grammar». International Journal of Advanced Computer Science and Application, IJACSA, Vol. 5, No.10, 2014. pp 92-100.
[2] A. ABDELKARIM, D.SOUILEM, R. BRAHAM, 2014. « محلل نحوي لبيئة تعلم عن بعد للغة العربية ». Communications of the Arab Computer Society CACS, Vol. 7 No.1
[3] A.ABDELKARIM & H. KAIS & B.H. ABDELMAJID 2006. «Etude et analyse de la phrase nominale arabe en HPSG». Traitement Automatique des Langues Naturelles : TALN 2006, Université catholique Louvain (UCL), du 10 au 13 avril 2006 à Leuven.
[4] A. ABDELKADER, D. S. BOUMIZA, AND R. BRAHAM. 2009. «A categorization algorithm for the Arabic language». International Conference on Communication, Computer and Power (ICCCP'09), Muscat, February 2009.
[5] ALKHALIL MORPHO SYS, «A Morphosyntactic 2010 analysis system for Arabic texts». http://www.alecso.org.tn/index.php?option=com_content&task=view&id=1302&Itemid=998&lang=ar. Retrieved February, 2014, from ALECSO.
[6] C.POLLARD & I.SAG, 1994, «Head­Driven Phrase Structure Grammars». Chicago University Press.
[7] D.KOULOUGHLI 2002. Grammaire de l’arabe d’aujourd’hui. BRODARD & TAUPIN.
[9] INSTRUCTIONAL MANAGEMENT SYSTEM (IMS). 2014. «IMS Question & Test Best Practices and Implementation Guide». http://www.imsproject.org/question/index.html(Accessed on Junury . 20, 2014)
[10] I.SAG & T.WASOW 1999, «A formal Introduction». Center for the Study of Language and Information. CSLI publication, Stanford University.
[11] K.NADIA & S.DALILA 2006, «Pré analyse du mot arabe basée sur une approche de filtrage pour une analyse aorphologique». Les sixièmes journées scientifiques des jeunes chercheurs en Génie Electrique et Informatique : GEI06.

NLP, Parser, HPSG, XML, e-assessment, Arabic language.