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  • 标题:E-Assessment System Based on Natural Language Processing for Arabic Language
  • 本地全文:下载
  • 作者:Dalila SOUILEM ; Abdelkarim ABDELKADER ; Rafik BRAHAM
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2015
  • 卷号:19
  • 期号:2
  • 页码:91-98
  • DOI:10.14445/22312803/IJCTT-V19P117
  • 出版社:Seventh Sense Research Group
  • 摘要:In this paper, we focus on the application of Natural Language Processing (NLP) in an eassessment 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 elearning environment.
  • 关键词:NLP; Parser; HPSG; XML; e-assessment; Arabic language
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