1. A method of forming a language model, the method comprising: selecting out-of-task training data having n-gram distributions; selecting task-specific training data having n-gram distributions; modifying an n-gram distribution in the out-of-task training data based in part on an n-gram distribution in the task-specific training data to form modified training data; and identifying probabilities for the language model based on the modified training data.