A top-down chart parser for analyzing Arabic sentences
Joint Authors
al-Taani, Ahmad T.
Abd al-Muslim, Muhammad
Wedian, Sana
Source
The International Arab Journal of Information Technology
Issue
Vol. 9, Issue 2 (31 Mar. 2012), pp.109-116, 8 p.
Publisher
Publication Date
2012-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Parsing of Arabic sentences is a necessary mechanism for many natural language processing applications such as machine translation ; question answering, knowledge extraction and information retrieval.
In this study, we present a top-down chart parser for parsing simple Arabic sentences, including nominal and verbal sentences within specific domain Arabic grammar.
We used the Context Free Grammar (CFGs) to represent the Arabic grammar.
We first developed the Arabic grammar rules that give precise description of grammatical sentences.
Then, we implemented the parser that assigns grammatical structure to the input sentence.
The parser is tested on sentences extracted from real documents.
Experimental results showed the effectiveness of the proposed top-down chart parser for parsing modern standard Arabic sentences.
From a practical perspective, the parser is able to satisfy syntactic constraints and reduce parsing ambiguity.
American Psychological Association (APA)
al-Taani, Ahmad T.& Abd al-Muslim, Muhammad& Wedian, Sana. 2012. A top-down chart parser for analyzing Arabic sentences. The International Arab Journal of Information Technology،Vol. 9, no. 2, pp.109-116.
https://search.emarefa.net/detail/BIM-292596
Modern Language Association (MLA)
al-Taani, Ahmad T.…[et al.]. A top-down chart parser for analyzing Arabic sentences. The International Arab Journal of Information Technology Vol. 9, no. 2 (Mar. 2012), pp.109-116.
https://search.emarefa.net/detail/BIM-292596
American Medical Association (AMA)
al-Taani, Ahmad T.& Abd al-Muslim, Muhammad& Wedian, Sana. A top-down chart parser for analyzing Arabic sentences. The International Arab Journal of Information Technology. 2012. Vol. 9, no. 2, pp.109-116.
https://search.emarefa.net/detail/BIM-292596
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 115
Record ID
BIM-292596