12. A computer-implemented method for adapting a speech recognition system, comprising: detecting a user-initiated change to dictated text; automatically assigning a categorization to the user-initiated change to the dictated text, the categorization being automatically assigned based at least in part upon a measurement of a number of words changed as a result of the user-initiated change, wherein automatically assigning the categorization comprises automatically identifying, based at least in part upon the measurement of the number of words, the user-initiated change as being either a correction or an edit operation; determining a number of times and a most recent time that the user-initiated change has occurred; and selectively adapting the speech recognition engine by temporarily adding a word pair associated with the user-initiated change to a lexicon of the speech recognition engine based at least in part upon the categorization, the number of times the user-initiated change has occurred, and the most recent time that the user-initiated change has occurred, and wherein selectively adapting the speech recognition engine further comprises increasing a probability of a pronunciation associated with the word pair.
16. The method of claim 12 , wherein selectively adapting comprises adapting only if the categorization indicates that the user-initiated correction is due to a recognition error made by the speech recognition engine, and wherein adapting comprises adapting so as to make it less likely that the speech recognition engine will subsequently repeat the recognition error during a subsequent recognition operation.