Context based spelling correction
Information Processing and Management: an International Journal
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A spelling correction program based on a noisy channel model
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
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Many corpora which are prime candidates for automatic error correction, such as the output of OCR software, and electronic texts incorporating markup tags, include information on which portions of the text are most likely to contain errors.This paper describes how the error markup tag is being incorporated in the spell-checking of an electronic version of Diderot's Encyclopédie, and evaluates whether the presence of this tag has significantly aided in correcting the errors which it marks. Although the usefulness of error tagging may vary from project to project, even as the precise way in which the tagging is done varies, error tagging does not necessarily confer any benefit in attempting to correct a given word. It may, of course, nevertheless be useful in marking errors to be fixed manually at a later stage of processing the text.