By Topic

Evaluating the retrieval performance of Addaall stemmer for Arabic news of al-Jazeera

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Roslina Othman ; Department of Library and Information Science International Islamic University Malaysia, IIUM, Gombak, Malaysia ; Saoudi Ouahiba

This paper examines the performance of Addaall stemmers for Arabic news of al-Jazeera. The morphological variation of Arabic word is a factor that affects Arabic information retrieval performance. Many morphological stemmers were developed to improve Arabic information retrieval such as Buckwalter, Khoja stemmers. Addaall stemmer is among the recent developments pertaining to the enhancement of the effectiveness of Arabic IR. The objective of the paper is to provide an analysis of Addaall's stemmer performance for Arabic information. Furthermore, it sheds some lights on the effectiveness of Addaall in relation to other stemmers. The paper assumes that previous studies did not examine extensively the requirements and limitations of Addaall and its prospects for Arabic IR effectiveness. So far there is no standard stemmer for Arabic IR that can be used and generalized. Therefore, this research will examine and evaluate the retrieval performance of Addaall stemmer using root and light stemming searches. It will use Al-Jazeera news as a test document. The paper concludes that Addaall offers a horizon for further enhancing the effectiveness of Arabic IR.

Published in:

Information Retrieval & Knowledge Management, (CAMP), 2010 International Conference on

Date of Conference:

17-18 March 2010