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Measuring a cross language image retrieval system

By M. Sanderson, P. Clough, C. Paterson and W. Tung Lo


Cross language information retrieval is a field of study that has received significant research attention,\ud resulting in systems that despite the errors of automatic translation (from query to document), on\ud average, produce relatively good retrieval results. Traditionally, most work has focussed on retrieval\ud from sets of newspaper articles; however, other forms of collection are being searched: one example\ud being the cross language retrieval of images by text caption. Limited past work has established, through\ud test collection evaluation, that as with traditional CLIR, image CLIR is effective. This paper presents\ud two studies that start to establish the usability of such a system: first, a test collection-based\ud examination, which avoids traditional measures of effectiveness, is described and results from it are\ud discussed; second, a preliminary usability study of a working cross language image retrieval system is\ud presented. Together the examinations show that, in general, searching for images captioned in a\ud language unknown to a searcher is usable

Publisher: Springer
Year: 2004
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