Context based spelling correction
Information Processing and Management: an International Journal
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Correcting real-word spelling errors by restoring lexical cohesion
Natural Language Engineering
Semantic text similarity using corpus-based word similarity and string similarity
ACM Transactions on Knowledge Discovery from Data (TKDD)
Real-word spelling correction using Google web 1Tn-gram data set
Proceedings of the 18th ACM conference on Information and knowledge management
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Real-word spelling correction using Google web 1Tn-gram data set
Proceedings of the 18th ACM conference on Information and knowledge management
Hashing-based approaches to spelling correction of personal names
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Correcting different types of errors in texts
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
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We present a method for correcting real-word spelling errors using the Google Web 1T n-gram data set and a normalized and modified version of the Longest Common Subsequence (LCS) string matching algorithm. Our method is focused mainly on how to improve the correction recall (the fraction of errors corrected) while keeping the correction precision (the fraction of suggestions that are correct) as high as possible. Evaluation results on a standard data set show that our method performs very well.