Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

In this work, we tackle the problem of machine reading comprehension (MRC) on the Holy
Qur'an to address the lack of Arabic datasets and systems for this important task. We …

In this paper, we address the significant gap in Arabic natural language processing (NLP)
resources by introducing ArabicaQA, the first large-scale dataset for machine reading …

Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …

This study investigates the teaching strategies implemented at Madrasah Ibtidaiyah Negeri 3
Banjarmasin to enhance students' ability to read the Qur'an. Employing a qualitative …

This position paper concerns the use of religious texts in Natural Language Processing
(NLP), which is of special interest to the Ethics of NLP. Religious texts are expressions of …

The unwavering principles of the universe as created by God in Islamic Worldview are
directed from the words of God and Sunnah, where the ultimate source of guidance is Divine …

Abstract Arabic Machine Translation (MT) has gained considerable attention from the
research community due to the widespread use of Arabic as one of the world's major …

In this dissertation, we address the need for an intelligent machine reading at scale (MRS)
Question Answering (QA) system on the Holy Qur'an, given the permanent interest of …

Accessing and comprehending religious texts, particularly the Quran (the sacred scripture of
Islam) and Ahadith (the corpus of the sayings or traditions of the Prophet Muhammad), in …