@article{MAKHILLJEAS2018131016234,
    title = {Rule Based Method of Name Entity Recognition for
Matching Allah’s Finest Names in Holy Quran},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {10},
    pages = {3618-3623},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.3618.3623},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.3618.3623},
    author = {Maha M.,Dhamyaa A.,Redha J. and},
    keywords = {Allahs finest names,Holy Quran,named entity recognition,natural language processing,regular expression,rule base},
    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.}
    }