'University of Aden - Faculty of Economics and Administration'
Abstract
Sheffield’s participation in the inaugural Arabic cross language track is described here. Our goal was to
examine how well one could achieve retrieval of Arabic text with the minimum of resources and adaptation
of existing retrieval systems. To this end the public translators used for query translation and the minimal
changes to our retrieval system are described. While the effectiveness of our resulting system is not as high
as one might desire, it nevertheless provides reasonable performance particularly in the monolingual track:
on average, just under four relevant documents were found in the 10 top ranked documents
