1. A method for testing a phonetic decision tree, the method comprising: testing a first phonetic decision tree, created using a first set of data, with a second set of data, the second set of data including at least one second term not in the first set of data, by phonetizing terms of the second set of data using the first phonetic decision tree; categorizing results of the testing into a set of correctly phonetized terms and a set of incorrectly phonetized terms; and operating at least one processor to create an exception dictionary including at least one term from the set of incorrectly phonetized terms and phonetization information related to the at least one term.
2. The method of claim 1 , wherein the categorizing further comprises: generating a phonetization corresponding to a term in the second set of data; comparing the generated phonetization to a standard pronunciation of the term; when the generated phonetization is equivalent to the standard pronunciation, classifying the term as correctly phonetized; and when the generated phonetization does not match the standard pronunciation, classifying the term as incorrectly phonetized.