Computational approaches to analyzing Quranic text and developing digital tools for Islamic studies
Quranic studies research applies computational linguistics and digital humanities methodologies to analyze the Quranic text, developing innovative tools and approaches for Islamic scholarship and education.
This research aims to bridge traditional Islamic scholarship with modern computational methods, creating digital tools that enhance understanding and accessibility of Quranic studies.
The research employs natural language processing techniques, statistical analysis, and machine learning methods specifically adapted for classical Arabic text analysis.
Jalal is developing computational tools for Quranic text analysis, focusing on creating accessible digital resources for scholars and students of Islamic studies.
The research addresses unique challenges in processing classical Arabic text, including morphological complexity, semantic richness, and the need for culturally sensitive computational approaches.
The developed tools will enhance Islamic education by providing new ways to explore and understand Quranic text, supporting both traditional scholarship and modern pedagogical approaches.
This work represents a unique intersection of computer science, linguistics, and Islamic studies, fostering interdisciplinary dialogue and collaboration.