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http://dx.doi.org/10.3745/KIPSTB.2012.19B.3.183

Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept  

Kim, Jun-Gil (전북대학교 컴퓨터공학과)
Lee, Kyung-Soon (전북대학교 컴퓨터공학부 영상정보신기술연구센터)
Publication Information
The KIPS Transactions:PartB / v.19B, no.3, 2012 , pp. 183-188 More about this Journal
Abstract
One of the major challenge for retrieval performance is the word mismatch between user's queries and documents in information retrieval. To solve the word mismatch problem, we propose a retrieval model based on the degree of association of query concept and word translation probabilities in translation-based model. The word translation probabilities are calculated based on the set of a sentence and its succeeding sentence pair. To validate the proposed method, we experimented on TREC AP test collection. The experimental results show that the proposed model achieved significant improvement over the language model and outperformed translation-based language model.
Keywords
Information Retrieval; Word Relationships; Query Concept; Word Translation Probabilities; Translation-based Language Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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