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Corpus-based stemming using cooccurrence of word variants

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Xu, Jinxi, Croft, W. Bruce·1998·ACM Transactions on Information Systems

Abstract

Stemming is used in many information retrieval (IR) systems to reduce variant word forms to common roots. It is one of the simplest applications of natural-language processing to IR and is one of the most effective in terms of user acceptance and consistency, though small retrieval improvements. Current stemming techniques do not, however, reflect the language use in specific corpora, and this can lead to occasional serious retrieval failures. We propose a technique for using corpus-based word variant cooccurrence statistics to modify or create a stemmer. The experimental results generated using English newspaper and legal text and Spanish text demonstrate the viability of this technique and its advantages relative to conventional approaches that only employ morphological rules.

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Metadata

Authors
Xu, J., & Croft, W. B.
Venue
ACM Transactions on Information Systems
Published
1998-01
Volume
16
Issue
1
Pages
61-81
ISSN
  • 1046-8188 (ISSN-L)
  • 1558-2868
OpenAlex
W2008495066
Cited by
305
References
0
FWCI
7.44
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Corpus-based stemming using cooccurrence of word variants. https://app.cochat.ai/papers/10.1145/267954.267957
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Xu, J., & Croft, W. B. (1998). Corpus-based stemming using cooccurrence of word variants. ACM Transactions on Information Systems. https://doi.org/10.1145/267954.267957

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