By Topic

Query translation architecture for Malay-English Cross-Language information retrieval system

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

3 Author(s)
Nurjannaton Hidayah Rais ; Department of Multimedia, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia ; Muhamad Taufik Abdullah ; Rabiah Abdul Kadir

This paper discusses research on query translation events in Malay-English Cross-Language Information Retrieval (CLIR) system. We assume that by improving query translation accuracy, we can improve the information retrieval performance. The dictionary-based CLIR system facing three main problems: translation ambiguity; compound and phrase handling and proper names translation. The use of natural language processing (NLP) techniques, such as stemming, Part-of-Speech (POS) tagging is useful in query translation process. Hence, n-gram matching technique has successfully applied to information retrieval (IR) system for phrases and proper names translation. The proposed query translation architecture consist of stemming, Part-of-Speech (POS) tagging and n-gram matching techniques is useful in CLIR system as well as search engine application.

Published in:

2010 International Symposium on Information Technology  (Volume:2 )

Date of Conference:

15-17 June 2010