Recently, Question Answering (QA) has been one of the main focus of natural language processing research. However, Arabic Question Answering is still not in the mainstream. The challenges of the Arabic language and the lack of resources have made it difficult to provide Arabic QA systems with high accuracy. While low accuracies may be accepted for general purpose systems, it is critical in some...

This article concerned with the translation of Quranic verses to Braille symbols, by using Visual basic program. The system has the ability to translate the special vibration for the Quran. This study limited for the (Noun + Scoon) vibrations. It builds on an existing translation system that combines a finite state machine with left and right context matching and a set of translation rules. Thi...

Despite the enormous number of documents and the huge amount of information contained in the Internet, the information search process is still difficult and unsatisfactory. The main reason behind this is that the search engines use the traditional search which depends on the keywords not on the concepts as semantic search engines. Tim Berners-Lee invented the Semantic Web in 2001 and until now ...

Natural Language Processing Working Together with Arabic and Islamic Studies is a 2-year project funded by the UK Engineering and Physical Sciences Research Council (EPSRC) to study prosodicsyntactic mark-up in the Quran (Atwell et al 2013). Tajwīd or correct Quranic recitation is very important in Islam. The original insight informing this project is to view tajwīd mark-up in the Quran as addi...

BACKGROUND Desirable health is impossible without good nutrition, and Allah has addressed us on eating foods in 118 verses. OBJECTIVES This study aimed to describe the medical university faculty members' perceptions of nutritional health in the Quran, revealing the important role of faculty members. MATERIALS AND METHODS This qualitative study was conducted with a phenomenological approach....

In this paper, we present our in-progress research tasks for building lexical database of the verb valences in the Arabic Quran using FrameNet frames. We study the verbs in their context in the Quran, and compare that with matching frames and frame evoking verbs in the English FrameNet. We analyze the gaps and make appropriate amendments to the FrameNet by adding new frame elements and relations.