A multi-agent system for pos-tagging vocalized Arabic texts
Joint Authors
al-Zuraybi, Chiraz Bin Uthman
Bin Ahmad, Muhammad
Torjmen, Aroua
Source
The International Arab Journal of Information Technology
Issue
Vol. 4, Issue 4 (31 Oct. 2007), pp.322-329, 8 p.
Publisher
Publication Date
2007-10-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, we address the problem of Part-Of-Speech (POS) tagging of Arabic texts with vowel marks.
After the description of the specificities of Arabic language and the induced difficulties on the task of POS-tagging, we propose an approach that combines several methods (stochastic and rule-based).
For the implementation of these methods and the global POS-tagging system, we adopted a multi-agent architecture.
In which, five tagger agents work in parallel, each one applies its own method, in order to propose for each word in a sentence the suitable tag among those proposed by the morphological analyzer.
The tagger agents cooperate together and with the unknown words solver agent to resolve unknown words.
A voting agent decides in the end, which tag to affect to each word.
Finally, we present the experimental protocol we used to evaluate the system carried out in this work and the obtained results that we consider very satisfactory.
American Psychological Association (APA)
al-Zuraybi, Chiraz Bin Uthman& Torjmen, Aroua& Bin Ahmad, Muhammad. 2007. A multi-agent system for pos-tagging vocalized Arabic texts. The International Arab Journal of Information Technology،Vol. 4, no. 4, pp.322-329.
https://search.emarefa.net/detail/BIM-11716
Modern Language Association (MLA)
al-Zuraybi, Chiraz Bin Uthman…[et al.]. A multi-agent system for pos-tagging vocalized Arabic texts. The International Arab Journal of Information Technology Vol. 4, no. 4 (Oct. 2007), pp.322-329.
https://search.emarefa.net/detail/BIM-11716
American Medical Association (AMA)
al-Zuraybi, Chiraz Bin Uthman& Torjmen, Aroua& Bin Ahmad, Muhammad. A multi-agent system for pos-tagging vocalized Arabic texts. The International Arab Journal of Information Technology. 2007. Vol. 4, no. 4, pp.322-329.
https://search.emarefa.net/detail/BIM-11716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p 328
Record ID
BIM-11716