On automatic filtering of multilingual texts

An emerging requirement to sift through the increasing flood of text information has led to the rapid development of information filtering technology in the past five years. This study introduces novel approaches for filtering texts regardless of their source language. We begin with a brief description of related developments in text filtering and multilingual information retrieval. We then present three alternative approaches to selecting texts from a multilingual information stream which represent a logical evolution from existing techniques in related disciplines. Finally, a practical automated performance evaluation technique is proposed.<>