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--- a/README.md
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 Levenshtein transducers accept a query term and return all terms in a
-dictionary that are within n spelling errors away from it. They constitute a
+dictionary that are within n spelling fixes away from it. They constitute a
 highly-efficient (space _and_ time) class of spelling correctors that work very
 well when you do not require context while making suggestions.  Forget about
 performing a linear scan over your dictionary to find all terms that are