Development of Artificial Intelligence Base System for Teaching Classical Arabic & Qur'anic Vocabularies for Urdu Language Users

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Haq Nawaz

Abstract

“Classical Arabic” or “Fusha Arabic” is very important because the Holy Qur‘an was revealed in Classical Arabic. The Holy Qur‘an describes itself as an “Arabic Qur‘an” (Surah Yusuf:2). Secondly, it is the language of the Last and Final Prophet and Messenger of Allah Muhammad (s.a.w) and core Islamic literature is written in Classical Arabic. Arabic is one of the Semitic languages in which different variations of verbs, nouns can be obtained by prefixing or suffixing different characters in root word. Information technology (IT) has a vital role in modern era, learning process has undergone great changes and teaching institutes are using Virtual Learning Systems for teaching purpose. The existing systems for the Arabic language do not meet these modern changes. There is need to improve the state of the art by using advanced techniques to fill this gap.  This paper focuses on development of teaching system of Arabic conjugations for non-Arabs; initially it is designed for the Urdu users, with extensions to other languages also planned. This system is developed using techniques from Natural Language Processing (NLP) and Artificial Intelligence (AI). This system till now covers the teaching of “علم الصرف” components. Towards this end, different algorithms have been designed that generate conjugations from the given root words and can additionally generate Urdu translations. The system also generates the runtime examinations as per learning syllabus of the student, and also recommends the weak areas of student where improvement is required.

Article Details

How to Cite
NAWAZ, Haq. Development of Artificial Intelligence Base System for Teaching Classical Arabic & Qur'anic Vocabularies for Urdu Language Users. QURANICA - International Journal of Quranic Research, [S.l.], v. 10, n. 1, p. 41-52, june 2018. ISSN 2590-4167. Available at: <https://ejournal.um.edu.my/index.php/quranica/article/view/12108>. Date accessed: 17 dec. 2018.
Section
Research Article (English)