Use of NLP Tools in CALL System for Arabic

Abstract

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).

Towards a Learning System Based on Arabic NLP Tools

“…It is easy to use and it allows teachers of Arabic, non-specialist NLP, to use the resources as well as to generate the set of activities for learning. It is therefore unnecessary to use a chain of complex treatments, or to make use of data processing specialists or TAL (Maraoui, Antoniadis, & Zrigui, 2009).…”