Arabic Natural Language Processing for Qur’anic Research: A Systematic Review

Artificial Intelligence Review, 56(7), 6801–6854, 2023

Co-authors: M.H. Bashir, A.M. Azmi, H. Nawaz, W. Zaghouani, M. Diab, A. Al-Fuqaha, J. Qadir

A comprehensive review of Arabic NLP methods and resources for Qur’anic text analysis, identifying computational challenges in Arabic morphology and semantics.

Stars at Qur’an QA 2022: Automatic Extractive Question Answering Systems for the Holy Qur’an

Proceedings of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools, LREC 2022

Co-authors: A. Sleem, E.M. Lotfy Elrefai, M.M. Matar, H. Nawaz

Transformer-based QA models fine-tuned on a new Qur’anic dataset, achieving state-of-the-art extractive performance.

Automated Generation of Arabic Verb Conjugations with Multilingual Urdu Translation: An NLP Approach

Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script (AbjadNLP 2025)

Co-authors: S.U. Haq Nawaz, M. Elobaid, A. Al-Laith

Introduces Altasreef, a rule-based morphology generator with Urdu translation alignment for Qur’anic verbs.

Development of AI-Based System for Teaching Classical Arabic & Qur’anic Vocabulary for Urdu Language Users

Quranica – International Journal of Quranic Research, 10(1), 41–52, 2018

Presents an AI-assisted system for Qur’anic vocabulary teaching and comprehension in Urdu.

Sentiment Analysis of Social Media to Find Customer Opinion

Proc. Int. Conf. on Intelligent Technologies & Applications, 110–115, 2018

Co-authors: H. Nawaz, T. Ali, A. Al-Laith, I. Ahmad, S. Tharanidharan

Multilingual sentiment analysis model evaluating social media text using machine learning and lexical heuristics.

Dataset Generation for the Attributes of the Words of the Holy Qur’an

Taibah University International Conference on Advances in Information Technology, 2013

Introduces an early structured dataset for Qur’anic lexical attributes and e-learning integration.