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


The KIPS Transactions:PartB , Vol. 19, No. 3, pp. 183-188, Jun. 2012
10.3745/KIPSTB.2012.19.3.183,   PDF Download:

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.


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Cite this article
[IEEE Style]
J. G. Kim and K. S. Lee, "Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept," The KIPS Transactions:PartB , vol. 19, no. 3, pp. 183-188, 2012. DOI: 10.3745/KIPSTB.2012.19.3.183.

[ACM Style]
Jun Gil Kim and Kyung Soon Lee. 2012. Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept. The KIPS Transactions:PartB , 19, 3, (2012), 183-188. DOI: 10.3745/KIPSTB.2012.19.3.183.