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| Title: | Correcting real-word spelling errors by restoring lexical cohesion |
| Author: | Graeme Hirst |
| Email: | click here to access email |
| Homepage: | http://www.cs.utoronto.ca/~gh/ |
| Institution: | University of Toronto |
| Author: | Alexander Budanitsky |
| Institution: | University of Toronto |
| Linguistic Field: | Computational Linguistics |
| Abstract: | Spelling errors that happen to result in a real word in the lexicon cannot be detected by a conventional spelling checker. We present a method for detecting and correcting many such errors by identifying tokens that are semantically unrelated to their context and are spelling variations of words that would be related to the context. Relatedness to context is determined by a measure of semantic distance initially proposed by Jiang and Conrath (1997). We tested the method on an artificial corpus of errors; it achieved recall of 23–50% and precision of 18–25%. |
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This article appears in Natural Language Engineering Vol. 11, Issue 1, which you can read on Cambridge's site or on LINGUIST . |
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