Context based spelling correction
Information Processing and Management: an International Journal
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Combining Trigram-based and feature-based methods for context-sensitive spelling correction
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Word sense disambiguation using Conceptual Density
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Categorizing unknown words: using decision trees to identify names and misspellings
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Corpus-based syntactic error detection using syntactic patterns
Proceedings of the workshop on Student research
Correcting real-word spelling errors by restoring lexical cohesion
Natural Language Engineering
Using contextual spelling correction to improve retrieval effectiveness in degraded text collections
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Error correction vs. query garbling for Arabic OCR document retrieval
ACM Transactions on Information Systems (TOIS)
Effect of OCR error correction on Arabic retrieval
Information Retrieval
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Managing misspelled queries in IR applications
Information Processing and Management: an International Journal
Word-Based correction for retrieval of arabic OCR degraded documents
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Regional vs. global robust spelling correction
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
CIAA'05 Proceedings of the 10th international conference on Implementation and Application of Automata
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The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general unrestricted text. State of the art spelling correction systems, e.g. ispell, apart from detecting spelling errors, also assist the user by offering a set of candidate corrections that are close to the misspelled word. Based on the correction proposals of ispell, we built several guessers, which were combined in different ways. Firstly, we evaluated all possibilities and selected the best ones in a corpus with artificially generated typing errors. Secondly, the best combinations were tested on texts with genuine spelling errors. The results for the latter suggest that we can expect automatic non-word correction for all the errors in a free running text with 80% precision and a single proposal 98% of the times (1.02 proposals on average).