Results of applying probabilistic IR to OCR text
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A technique for computer detection and correction of spelling errors
Communications of the ACM
Improved string matching under noisy channel conditions
Proceedings of the tenth international conference on Information and knowledge management
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Information Retrieval can Cope with Many Errors
Information Retrieval
Exploiting syntactic analysis of queries for information retrieval
Data & Knowledge Engineering
A Common Solution for Tokenization and Part-of-Speech Tagging
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
CIAA '01 Revised Papers from the 6th International Conference on Implementation and Application of Automata
Character N-Gram Tokenization for European Language Text Retrieval
Information Retrieval
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
An approximate multi-word matching algorithm for robust document retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Information Processing and Management: an International Journal
Contextual spelling correction
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
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Our work relies on the design and evaluation of experimental information retrieval systems able to cope with textual misspellings in queries. In contrast to previous proposals, commonly based on the consideration of spelling correction strategies and a word language model, we also report on the use of character n-grams as indexing support.