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Experiments in multilingual information retrieval using the SPIDER system

Sheridan, Páraic, Ballerini, Jean Paul·1996·Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96

Abstract

We introduce a new approach to multilingual information retrieval based on the use of thesaurus-based query expansion techniques applied over a collection of comparable multilingual documents. This approach has been built into the SPIDER information retrieval system and has been tested over a large collection of Italian documents. We have shown that the SPIDER system retrieves Italian documents in response to user queries written in German with better effectiveness than a baseline system evaluating Italian queries against Italian documents. Although the importantance of the SPIDER stemming algorithm for Italian must be stressed in these results, we have also achieved performance on multilingual retrieval tasks within 32% of the best SPIDER performance on Italian retrieval, by including a relevance feedback loop in the task of multilingual retrieval. 1 Introduction As far back as the early 1970's Prof. Gerard Salton at Cornell University performed experiments to investigate the feasib...

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Metadata

Authors
Sheridan, P., & Ballerini, J. P.
Venue
Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96
Publisher
ACM Press
Published
1996
Pages
58-65
OpenAlex
W2047959359
Cited by
207
References
0
FWCI
14.26
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experiments in multilingual information retrieval using the SPIDER system. https://app.cochat.ai/papers/10.1145/243199.243213
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Sheridan, P., & Ballerini, J. P. (1996). Experiments in multilingual information retrieval using the SPIDER system. Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96. https://doi.org/10.1145/243199.243213

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