A rule based persons names Arabic extraction system

Elsebai, A; Meziane, F; Belkredim, FZ

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).

Citation

Elsebai, A., Meziane, F., & Belkredim, F. (2009, January). A rule based persons names Arabic extraction system. Presented at Proceedings of the IBIMA, Cairo, Egypt

• Presentation Conference Type: Other
• Conference Name: Proceedings of the IBIMA
• Conference Location: Cairo, Egypt
• Start Date: Jan 4, 2009
• End Date: Jan 6, 2009
• Publication Date: Jan 1, 2009
• Deposit Date: Aug 6, 2009
• Publisher URL: http://www.ibima.org/pub/journals/CIBIMA/volume11/v11n6.pdf
• Additional Information: Event Type : Conference