1. A system and method for modifying a language model and post-processor information, the method comprising the steps of: collecting a set of language models; collecting a set of corrected dictated reports; collecting site specific data from a user; matching each dictated report with each language model; determining a perplexity factor for each language model; and determining the language model having the lowest perplexity factor.