Sanderson, M., Clough, P., Paterson, C. and Tung Lo, W. (2004) Measuring a cross language image retrieval system. In: Advances in Information Retrieval : 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings. Lecture Notes in Computer Science (2997). Springer , Berlin / Heidelberg , pp. 353-363. ISBN 978-3-540-21382-6
Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (from query to document), on average, produce relatively good retrieval results. Traditionally, most work has focussed on retrieval from sets of newspaper articles; however, other forms of collection are being searched: one example being the cross language retrieval of images by text caption. Limited past work has established, through test collection evaluation, that as with traditional CLIR, image CLIR is effective. This paper presents two studies that start to establish the usability of such a system: first, a test collection-based examination, which avoids traditional measures of effectiveness, is described and results from it are discussed; second, a preliminary usability study of a working cross language image retrieval system is presented. Together the examinations show that, in general, searching for images captioned in a language unknown to a searcher is usable.
|Copyright, Publisher and Additional Information:||© Springer-Verlag Berlin Heidelberg 2004. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy.|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)|
|Depositing User:||Repository Officer|
|Date Deposited:||23 Sep 2008 12:23|
|Last Modified:||08 Feb 2013 16:56|