We present the results obtained at iCLEF-2002. This is the first time that we have participated in the iCLEF task, and we have used our Passage Retrieval approach (IR-n). This system previously divides the document in fragments or passages, and the similarity of each passage with the query is then measured. Finally, the document that contains the most similar passage is returned as the most relevant. In the interactive document selection task, we have experimented with this system by showing the most relevant passage of each returned document instead of the entire document. In this paper, we present the results obtained with this system, where the relevant passages have been automatically translated into Spanish by means of Systran. The results are compared with those obtained using the Z-Prise system where the entire document is read to establish relevance.