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Cited by 298

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Phrasal translation and query expansion techniques for cross-language information retrieval

Open access
Ballesteros, Lisa, Croft, W. Bruce·1997·Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97
DOI 10.1145/258525.258540
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Abstract

Dictionary methods for cross-language information retrieval give performance below that for mono-lingual retrieval.Failure to translate multi-term phrases has km shown to be one of the factors responsible for the errors associated with dictionary methods.First, we study the importance of phrasaI translation for this approach.Second, we explore the role of phrases in query expansion via local context analysis and local feedback and show how they can be used to significantly reduce the error associated with automatic dictionary translation.

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Metadata

Authors
Ballesteros, L., & Croft, W. B.
Venue
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97
Publisher
ACM Press
Published
1997
Pages
84-91
DOI
10.1145/258525.258540
OpenAlex
W2008248260
Cited by
298
References
0
FWCI
16.63
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Phrasal translation and query expansion techniques for cross-language information retrieval. https://app.cochat.ai/papers/10.1145/258525.258540
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Ballesteros, L., & Croft, W. B. (1997). Phrasal translation and query expansion techniques for cross-language information retrieval. Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97. https://doi.org/10.1145/258525.258540

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.