DocumentCode
2669906
Title
Arabic named entity extraction: A local grammar-based approach
Author
Traboulsi, Hayssam
Author_Institution
Dept. of Comput. Sci., American Univ. of Sci. & Technol., Beirut, Lebanon
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
139
Lastpage
143
Abstract
The local grammar approach was first used to discuss recursive phrases that are commonly found in specialist literature like biochemistry and then extended to extract time, date and address expressions from letters. It has recently been applied to extract person names from English, Chinese, French, Korean, Portuguese, and Turkish news texts. This paper shows that this approach can also be used to extract person names from Arabic counterparts.
Keywords
natural language processing; text analysis; Arabic named entity extraction; Chinese news texts; English news texts; French news texts; Korean news texts; Portuguese news texts; Turkish news texts; biochemistry; local grammar-based approach; person name extraction; Biochemistry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location
Mragowo
Print_ISBN
978-1-4244-5314-6
Type
conf
DOI
10.1109/IMCSIT.2009.5352809
Filename
5352809
Link To Document