A discriminative candidate generator for string transformations
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An information retrieval approach to spelling suggestion
Proceedings of the 19th international conference on World wide web
Research on asynchronous communication-oriented page searching
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Managing misspelled queries in IR applications
Information Processing and Management: an International Journal
Indexing methods for approximate dictionary searching: Comparative analysis
Journal of Experimental Algorithmics (JEA)
PubMed searches by Dutch-speaking nursing students: The impact of language and system experience
Journal of the American Society for Information Science and Technology
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It is known that users of internet search engines often enter queries with misspellings in one or more search terms. Several web search engines make suggestions for correcting misspelled words, but the methods used are proprietary and unpublished to our knowledge. Here we describe the methodology we have developed to perform spelling correction for the PubMed search engine. Our approach is based on the noisy channel model for spelling correction and makes use of statistics harvested from user logs to estimate the probabilities of different types of edits that lead to misspellings. The unique problems encountered in correcting search engine queries are discussed and our solutions are outlined.