An extension method of antecedents for Chinese-English cross-language query based on matrix weighted association rules

Abstract

The invention discloses a Chinese-English cross-language query antecedent extension method based on matrix weighted association rules. Firstly, by means of machine translation, the Chinese query formula is translated into English and English documents are retrieved. The user performs a correlation judgment on the first-listed English documents to obtain the preliminary check. For related English document sets, the matrix weighted association pattern support calculation method based on item frequency and weight and the matrix weighted association pattern mining method based on support degree-confidence degree-interest degree are used to mine the relevant English document set for the initial inspection. The matrix weighted association rules of the original query terms after translation, and the antecedents of these association rules are extracted as cross-language post-translation expansion words to realize the expansion of post-translation antecedents of Chinese-English cross-language queries. Experimental results show that the invention can effectively reduce the long-standing problems of serious drift of query topics and word mismatches in cross-language information retrieval, improve and improve the performance of cross-language information retrieval, and has good application value and promotion prospect.

Description

technical field [0001] The invention belongs to the field of network information retrieval, in particular to a Chinese-English cross-language query antecedent extension method based on matrix weighted association rules. Background technique [0002] With the popularization of Internet technology, network information resources with multilingual characteristics have grown rapidly and become network big data with huge economic value and research value. How to retrieve information resources in other languages ​​from big data resources with familiar query language expressions to meet more information needs, and make cross-language information retrieval technology an urgently needed technology for current network users. The process of cross-language information retrieval is more complicated than that of single-language retrieval, and the problems encountered are more serious. The main manifestations are: affected by the translation quality, the query subject drifts seriously, the ...

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a Chinese-English cross-language query antecedent extension method based on matrix weighted association rules, which is applicable to the field of cross-language information retrieval, can effectively reduce problems such as query subject drift and word mismatch in cross-language information retrieval, and improve and Improve cross-language search performance

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