Abstract
This paper considers centralized and distributed architectures for multilingual information retrieval. Several merging strategies, including raw-score merging, round-robin merging, normalized-score merging, and normalized-by-top-k merging, were investigated. The effects of translation penalty on merging was also examined. The experimental results show that the centralized approach is better than the distributed approach. In the distributed approach, the normalized-by-top-k merging with translation penalty outperforms other merging strategies, except for raw-score merging. Because the performances of English to other languages are similar, raw-score merging gives better performance in our experiments. However, raw-score merging is not workable in practice if different IR systems are adopted.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chen, H.H., Bian, G.W., and Lin, W.C., 1999. Resolving translation ambiguity and target polysemy in cross-language information retrieval. In Proceedings of 37 th Annual Meeting of the Association for Computational Linguistics, Maryland, June, 1999. Association for Computational Linguistics, 215-222.
Dumais, S.T., 1992. LSI meets TREC: A Status Report. In Proceedings of the First Text REtrieval Conference (TREC-1), Gaithersburg, Maryland, November, 1992. NIST Publication, 137-152.
Lin, W.C. and Chen, H.H., 2002. NTU at NTCIR3 MLIR Task. In Working Notes for NTCIR3 workshop, Tokyo, October, 2002. National Institute of Informatics.
Oard, D.W. and Dorr, B.J., 1996. A Survey of Multilingual Text Retrieval. Technical Report UMIACS-TR-96-19, University of Maryland, Institute for Advanced Computer Studies.
Savoy, J., 2001. Report on CLEF-2001 Experiments: Effective Combined Query-Translation Approach. In Evaluation of Cross-Language Information Retrieval Systems, Lecture Notes in Computer Science, Vol. 2406, Darmstadt, Germany, September, 2001. Springer, 27-43.
Voorhees, E.M., Gupta, N.K., and Johnson-Laird, B., 1995. The Collection Fusion Problem. In Proceedings of the Third Text REtrieval Conference (TREC-3), Gaithersburg, Maryland, November, 1994. NIST Publication, 95-104.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, WC., Chen, HH. (2003). Merging Mechanisms in Multilingual Information Retrieval. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Advances in Cross-Language Information Retrieval. CLEF 2002. Lecture Notes in Computer Science, vol 2785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45237-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-45237-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40830-7
Online ISBN: 978-3-540-45237-9
eBook Packages: Springer Book Archive