Maha M.  Hassan, Dhamyaa A.  AL-Nasrawi, Redha J.  Hassan, Noor T.  Mahdi, 
    Rule Based Method of Name Entity Recognition for
Matching Allah’s Finest Names in Holy Quran,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 10,
    2018,
    Pages 3618-3623,
    ISSN 1816-949x,
    jeasci.2018.3618.3623,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.3618.3623)
    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.
    Keywords: Allahs finest names;Holy Quran;named entity recognition;natural language processing;regular expression;rule base