13. A system for phonetic decision tree testing, the system comprising: at least one recording device to store processor-executable instructions; and at least one processor coupled to the at least one recording device and programmed by the processor-executable instructions to act as: a training engine configured to evaluate a phonetic decision tree, created using a first data set of terms of a training data set, using a second set of terms from the training data set and a set of standard pronunciations, the second set of terms comprising terms for evaluating the phonetic decision tree and including at least one second term not in the first data set, wherein the training engine categorizes a result of the evaluation into a set of correctly phonetized terms and a set of incorrectly phonetized terms, wherein the phonetic tree generation engine is configured to create an exception-limited phonetic decision tree from the set of correctly phonetized terms.
13. A system for phonetic decision tree testing, the system comprising: at least one recording device to store processor-executable instructions; and at least one processor coupled to the at least one recording device and programmed by the processor-executable instructions to act as: a training engine configured to evaluate a phonetic decision tree, created using a first data set of terms of a training data set, using a second set of terms from the training data set and a set of standard pronunciations, the second set of terms comprising terms for evaluating the phonetic decision tree and including at least one second term not in the first data set, wherein the training engine categorizes a result of the evaluation into a set of correctly phonetized terms and a set of incorrectly phonetized terms, wherein the phonetic tree generation engine is configured to create an exception-limited phonetic decision tree from the set of correctly phonetized terms. 16. The system of claim 13 , wherein the phonetic tree generation engine is configured to create an exception-limited phonetic decision tree by: following the evaluation and the categorizing by the training engine, determining if one or more termination conditions are met by the phonetic decision tree; and when the one or more termination conditions are met, adopting the phonetic decision tree as the exception-limited phonetic decision tree.