The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Techniques for automatically correcting words in text
Open accessAbstract
Research aimed at correcting words in text has focused on three progressively more difficult problems:(1) nonword error detection; (2) isolated-word error correction; and (3) context-dependent work correction. In response to the first problem, efficient pattern-matching and n -gram analysis techniques have been developed for detecting strings that do not appear in a given word list. In response to the second problem, a variety of general and application-specific spelling correction techniques have been developed. Some of them were based on detailed studies of spelling error patterns. In response to the third problem, a few experiments using natural-language-processing tools or statistical-language models have been carried out. This article surveys documented findings on spelling error patterns, provides descriptions of various nonword detection and isolated-word error correction techniques, reviews the state of the art of context-dependent word correction techniques, and discusses research issues related to all three areas of automatic error correction in text.
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Cites
Learning internal representations by error propagation
RUMELHART, D. E., HINTON, G. E., & WILLIAMS, R. J. (1988) · Readings in Cognitive Science · doi:10.1016/b978-1-4832-1446-7.50035-2 · Cited by 3,002
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Bernstein, M. S., Little, G., Miller, R. C., Hartmann, B., Ackerman, M. S., Karger, D. R., Crowell, D., & Panovich, K. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866078 · Cited by 686
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Metadata
- Authors
- Kukich, K.
- Venue
- ACM Computing Surveys
- Published
- 1992-12
- Volume
- 24
- Issue
- 4
- Pages
- 377-439
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2010595692
- Cited by
- 1,257
- References
- 2
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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