Computer programs for detecting and correcting spelling errors
Communications of the ACM
A technique for computer detection and correction of spelling errors
Communications of the ACM
Length Normalization in Degraded Text Collections
Length Normalization in Degraded Text Collections
Minimal commitment and full lexical disambiguation: balancing rules and hidden Markov Models
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Self-correcting queries for xml
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A spell checker and corrector for the native South African language, South Sotho
Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association
Information Systems
Information Systems
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In a preliminary study, we show the effect of spelling errors on an ad hoc information retrieval task. Then, we report on the comparison of different strategies for correcting spelling errors resulting in non-existent words. Unlike interactive spelling checkers, where usually only the left context is available, the system we developed takes advantage of the entire context surrounding misspelling. Moreover, unlike traditional systems, based exclusively on a string-to-string edit distance and a word language model, we explore the use of the part-of-speech for selecting candidates. In conclusion, we show that spelling correction improves by extending the context. The best results are obtained when combining a part-of-speech filter with a word language model, and using both the left and right adjacent contexts.