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The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Resolving ambiguity for cross-language retrieval

Open access
Ballesteros, Lisa, Croft, W. Bruce·1998·Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval

Abstract

One of the main hurdles to improved CLIR effectiveness is resolving ambiguity associated with translation.Availability of resources is also a problem.First we present a technique based on co-occurrence statistics from unlinked corpora which can be used to reduce the ambiguity associated with phrasal and term translation.We then combine this method with other techniques for reducing ambiguity and achieve more than 90% monolingual effectiveness.Finally, we compare the co-occurrence method with parallel corpus and machine translation techniques and show that good retrieval effectiveness can be achieved without complex resources.

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Metadata

Authors
Ballesteros, L., & Croft, W. B.
Venue
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Publisher
ACM
Published
1998-08
Pages
64-71
OpenAlex
W2161935199
Cited by
309
References
13
FWCI
24.40
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Resolving ambiguity for cross-language retrieval. https://app.cochat.ai/papers/10.1145/290941.290958
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Ballesteros, L., & Croft, W. B. (1998). Resolving ambiguity for cross-language retrieval. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. https://doi.org/10.1145/290941.290958

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