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

Zarqa University

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