By Topic

Cross-language information retrieval using latent semantic indexing and self-organizing maps

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
$31 $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)
Ampazis, N. ; Dept. of Financial & Manage. Eng., Aegean Univ., Chios, Greece ; Iakovaki, H.

The present paper describes a method of fully automated cross-language information retrieval, which does not require any query translation. Namely, monolingual queries retrieve documents from a multilingual collection, which includes items from the query's source language. This is achieved by a method, which combines the construction of a multilingual semantic space using latent semantic indexing (LSI) and the clustering ability of self-organizing maps (SOM) for the generation of multilingual semantic categories. Tests on an English-Greek corpus reveal the effectiveness and robustness of the proposed method.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 July 2004