With the development of Internet technology and the explosive increase of network information, how to extract specific and useful information in an automatic or semi-automatic way become a problem. There is a large number of different forms of bilingual corpus and different quality on the Internet. How to extract a large number of high quality corpus from the Internet has become a more and more important issue. In this paper, firstly, based on the support vector machine, the bilingual network filtering is studied, and the information extraction of bilingual resources is studied. Secondly, a bilingual resources mining system based on Web data is established. Finally, the proposed system implementation of the bilingual mining method shows the visual mode of the experimental results. It includes text search, web browsing, the user to add, specify the page of the extraction and the user's seed selection and other functions. This system is a complete user oriented program.
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