document: Mining multilingual topics from wikipedia In this paper , we try to leverage a large-scale and multilingual knowledge base , Wikipedia , to help effectively analyze and organize Web information written in different languages . Based on the observation that one Wikipedia concept may be described by articles in different languages , we adapt existing topic modeling algorithm for mining multilingual topics from this knowledge base . The extracted ` universal ' topics have multiple types of representations , with each type corresponding to one language . Accordingly , new documents of different languages can be represented in a space using a group of universal topics , which makes various multilingual Web applications feasible .
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