Paper Info
Title
Research on Chinese and English language information retrieval algorithm based on bilingual theme model
Abstract
In order to meet the needs of users to query English information through their mother tongue, this paper studies the feasibility of cross language information retrieval by bilingual theme model from the point of view of precise correspondence search between Chinese and English topic words, and combines bilingual theme space constructed by bilingual related topics. A matching algorithm based on the weight value of each topic to respond to the topic correlation is presented in descending order according to the weight statistics. The results of data analysis show that the retrieval algorithm proposed in this paper is feasible, accurate, and highly interactive with users. It can basically achieve the retrieval of English information by BITC, and satisfy users’ accessibility to English information through native language.
Year
DOI
Venue
2019
10.1007/s10586-018-2218-8
Cluster Computing
Keywords
Field
DocType
Bilingual theme model, Cross language information retrieval, BITC model, Subject words
English language,Information retrieval,Computer science,Weight statistics,Cross-language information retrieval,Retrieval algorithm,First language,Blossom algorithm
Journal
Volume
Issue
ISSN
22
SP2.0
1573-7543
Citations 
PageRank 
References 
0
0.34
11
Authors
1
Name
Order
Citations
PageRank
Beibei Dai100.34