Paper: Combining Trigram-Based And Feature-Based Methods For Context-Sensitive Spelling Correction

ACL ID P96-1010
Title Combining Trigram-Based And Feature-Based Methods For Context-Sensitive Spelling Correction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1996
Authors

This paper addresses the problem of cor- recting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of correcting particular word usage errors (such as amount and num- ber, or among and between). Such cor- rections require contextual information and are not handled by conventional spelling programs such as Unix spell. First, we introduce a method called Trigrams that uses part-of-speech trigrams to encode the context. This method uses a small num- ber of parameters compared to previous methods based on word trigrams. How- ever, it is effectively unable to distinguish among words that have the same part of speech. For this case, an alternative feature-based method called Bayes per- forms better; but Bayes is less ...