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A Rule Based Persons Names Arabic Extraction System

Elsebai, A, Meziane, F and Belkredim, FZ 2009, A Rule Based Persons Names Arabic Extraction System , in: Proceedings of the IBIMA, 4-6 January, 2009, Cairo, Egypt.

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Abstract

Named Entity Extraction is a very new in Arabic Natural Language processing although it has reached maturity for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the Arabic Language. We adopt a rule based approach make used of the output produced by the Buckwalter Arabic Morphological Analyser (BAMA), and we used a set of keywords to guide us to the phrases that probably include person names. We have also compared our system with (PERA) Person Name Entity Recognition for Arabic [9] which is based on a lexicon, in the form of gazetteer name lists, and a grammar, in the form of regular expressions. Our system achieves an F-measure of 89% which is an improvement on the results reported by (PERA).

Item Type: Conference or Workshop Item (Paper)
Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects outside of the University Themes
Schools: Colleges and Schools > College of Science & Technology
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Refereed: Yes
Depositing User: Prof Farid Meziane
Date Deposited: 06 Aug 2009 13:54
Last Modified: 20 Aug 2013 16:58
URI: http://usir.salford.ac.uk/id/eprint/2206

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