Developing AQuranic QA System: Bridging Linguistic Gaps in Urdu Translation Using NLP and Transformer Model
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 1
Abstract
The limited access to Quranic knowledge for Urdu speakers is due to inadequate Natural Language Processing (NLP) tools, which hinder precise Quranic understanding and retrieval. This research introduces a Transformer-based Urdu Quranic Question-Answering (QA) system, a novel approach that enhances semantic accuracy and retrieval precision, unlike existing Arabic- and English-based models. This study primarily leverages Transformer-based technology to develop a context-aware Urdu Quranic chatbot, unlike conventional systems, which primarily support Arabic and English Quranic texts. The system addresses the missing linguistic gaps in Quranic QA by enhancing both precision and semantic interpretation for Urdu users. The system was trained using Fateh Muhammad Jalandhari’s Urdu Quranic translation and fine-tuned with RoBERTa for enhanced semantic text analysis. It integrates TF-IDF with SBERT for improved question-answering performance. The NLP system went through multiple evaluation metrics were used to assess its precision and overall capability. The chatbot achieved high retrieval accuracy with a Mean Average Precision of 0.85, an Exact Match of 0.82, and an F1 Score of 0.88. User satisfaction reached 92%, indicating its effectiveness in providing precise Quranic answers. Future updates will introduce that include voice detection features, expanded language support, and integration with Tafsir and Hadith databases for improved contextual understanding. This study enhances Urdu Quranic information retrieval by providing an improved NLP-based solution for automated Islamic knowledge dissemination.
Authors and Affiliations
Muhammad Tariq, Dr. Muhammad Arshad Awan, Danish Khaleeq
Keywords
Related Articles
- EP ID EP763054
- DOI -
- Views 32
- Downloads 0
Gemstones Supply Chain Management throughBlockchain Mechanism
T provenance of gemstones significantly enhances their value. However, both conventional supply chain management and digital systems are susceptible to counterfeiting, loss, and theft. Blockchain has emerged as a suita...
Analysis of Drinking Water Quality and Associated Human Health Risks.A Case Study of Rawalpindi-Pakistan
Water is essential for the survival of all living beings, but the rapid increase in population is causing a significant decline in water quality. Access to safe and hygienic drinking water is crucial for human health,...
Effects of Exogenous Calcium and Magnesium on Physio-Hormonal Attributes of Trigonella Foenum-Graecum L:Under Polyethylene Glycol (PEG) Induce Drought Stress
Drought stress is one of the abiotic stresses that adversely affect the plant growth parameters and physio-hormonal attributes. In the current work, we study the adverse effects of induced PEG drought stress in Trigone...
VDMF: VANETsDetection Mechanism Using Fog Computing forCollusion and Sybil Attacks
Vehicular Ad Hoc Networks (VANETs) have evolved as a key component of the intelligent transportation system, enhancing road safety and traffic efficiency. It is crucial to secure sensitive information, and detection of...
Advancements in Automatic Text Summarization using Natural Language Processing
With the rapid expansion of data across various domains, the need for automated text summarization has become increasingly crucial. Given the overwhelming volume of textual and numerical data, e...