English Chinese Cross Language Information Retrieval Method Based on Association Pattern Mining

To achieve more accurate English Chinese cross language information retrieval, an English Chinese cross language information retrieval method based on association pattern mining is designed. Problem analysis of English Chinese cross language information retrieval based on association pattern mining. The main idea of problem analysis or problem understanding is to deal with the problem, extract the type and keywords of the problem according to certain means and methods, and provide basic support for the retrieval part. Keyword translation mainly adopts the combination of dictionary and network resource mining. Query word expansion is mainly to expand the semantic information of the original query words so that the original query contains more semantic information to increase the recall rate of document retrieval. The method used is a web search slice extension. We built an English Chinese cross language information retrieval model to realize English Chinese cross language information retrieval. The performance of the design method is tested. The test results show that the test results of each index of the method are ideal, which proves that the English-Chinese cross language information retrieval performance of the design method is good and can be applied.