TY  - JOUR
T1  - Rule Based Method of Name Entity Recognition for
Matching Allah’s Finest Names in Holy Quran
AU - Hassan, Maha M. AU - AL-Nasrawi, Dhamyaa A. AU - Hassan, Redha J. AU - Mahdi, Noor T. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 10
SP  - 3618
EP  - 3623
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.3618.3623
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.3618.3623
KW  - Allahs finest names
KW  -Holy Quran
KW  -named entity recognition
KW  -natural language processing
KW  -regular expression
KW  -rule base
AB  - 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.
ER  -