IJBTT

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
	DOI :  10.14445/22312803/IJCTT-V19P117

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.

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