The Qur'an is a fourteen centuries old divine book in Arabic language that is read and
followed by almost two billion Muslims globally as their sacred religious text. With the rise of …

Abstract Question Answering System has the ability to present an answer based on a
question submitted by the user in natural languages. This system consists of question …

Retrieving information from the Quran is an important field for Quran scholars and Arabic
researchers. There are two types of Quran searching techniques: semantic or concept …

To accomplish the mission of spreading the message of the Quran, prospective Islamic
teachers need to be equipped with the ability to translate the Qur'an. However, in reality …

Semantic similarity analysis in natural language texts is getting great attention recently.
Semantic analysis of the Quran is especially challenging because it is not simply factual but …

The Holy Quran, due to it is full of many inspiring stories and multiple lessons that need to
understand it requires additional attention when it comes to searching issues and …

Quran is the most significant religious document in the Arabic language in Islamic law.
Several Quranic search engines have been designed and widely used for the past two …

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 …

Feature selection is an integral phase in text classification problems. It is primarily applied in
preprocessing text data prior to labeling. However, there exist some limitations with the FS …

Classification of Quranic verses into predefined categories is an essential task in Quranic
studies. However, in recent times, with the advancement in information technology and …