This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). First, we have developed some NLP tools: a labelled dictionary of Arabic (as complete as possible), a generator for morphological derivatives, a Conjugator and a morphological analyzer for Arabic. Second, we used these tools to create a number of educational applications for learning the Arabic language by using the proposed system SALA (an NLP-based authoring system, organized into three distinct layers: functions, scripts and activities).
NLP (Natural Language Processing)CALL (Computer-Assisted Language Learning)Arabic
Mohsen Maraoui、Mounir Zrigui、Georges Antoniadis
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Department of Computer Science, University of Monastir, Monastir, 5019, Tunisia
Department of Computer Science, University of Monastir Monastir, 5019, Tunisia
Department of Computer Science, Stendhal University - Grenoble 3, Grenoble, 38000, France
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