Arabic CALL system based on pedagogically indexed text
This work addresses the problem of effective Arabic language instruction for educators and learners, but it is incremental as it applies existing NLP and corpus-based methods to a specific domain.
The paper tackles the challenge of teaching Arabic as a foreign language by developing ARAC, a platform that uses pedagogically indexed corpora to enable educators to create customized learning activities, resulting in a tool that adapts texts to specific pedagogical situations.
This article introduces the benefits of using computer as a tool for foreign language teaching and learning. It describes the effect of using Natural Language Processing (NLP) tools for learning Arabic. The technique explored in this particular case is the employment of pedagogically indexed corpora. This text-based method provides the teacher the advantage of building activities based on texts adapted to a particular pedagogical situation. This paper also presents ARAC: a Platform dedicated to language educators allowing them to create activities within their own pedagogical area of interest.