Context based spelling correction
Information Processing and Management: an International Journal
Techniques for automatically correcting words in text
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A technique for computer detection and correction of spelling errors
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A spelling correction program based on a noisy channel model
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An improved error model for noisy channel spelling correction
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Exploring distributional similarity based models for query spelling correction
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SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
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HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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A hybrid rule/model-based finite-state framework for normalizing SMS messages
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Letter-phoneme alignment: an exploration
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Spelling Correction for Dialectal Arabic Dictionary Lookup
ACM Transactions on Asian Language Information Processing (TALIP)
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Information Processing and Management: an International Journal
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Lexical normalisation of short text messages: makn sens a #twitter
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
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Query spelling correction using multi-task learning
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Fast multi-task learning for query spelling correction
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Lexical normalization for social media text
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Computer Speech and Language
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This paper presents a method for incorporating word pronunciation information in a noisy channel model for spelling correction. The proposed method builds an explicit error model for word pronunciations. By modeling pronunciation similarities between words we achieve a substantial performance improvement over the previous best performing models for spelling correction.