Authors : Maha M. Hassan, Dhamyaa A. AL-Nasrawi, Redha J. Hassan and Noor T. Mahdi
Abstract: Named Entity Recognition (NER) is a standout research amongst the most imperative ones in information extraction. Furthermore, it is a sub step in many text processing applications. This study uses rule based method for matching Allah’s finest names in specific domain (Holy Qur’an), the proposed system constructs a collection of rules by regular expressions. The proposed rules match all Allah’s finest names in Holy Qur’an. Many features were considered in this study including: orthographic, N-grams and affixes. The proposed system solves the problem of appearance Allah’s finest names in Holy Qur’an as a substring in another words as well as considers the diacritics (Al-Tashkeel) in Arabic words. Similarity coefficient of names was calculated to reduce the complexity of rules base. The results showed that a rule based by regular expression is an effective, powerful and efficient technique in matching the target names with little collection of rules. This project is a valuable statistical tool that can be right applied to get statistical information about Allah’s finest names.
Maha M. Hassan, Dhamyaa A. AL-Nasrawi, Redha J. Hassan and Noor T. Mahdi, 2018. Rule Based Method of Name Entity Recognition for Matching Allah’s Finest Names in Holy Quran. Journal of Engineering and Applied Sciences, 13: 3618-3623.