6. A computer-implemented method comprising: as executed by a spoken language processing system comprising one or more computing devices configured to execute specific instructions, obtaining audio data corresponding to an utterance; initiating speech recognition on the audio data using a grammar, wherein speech recognition using the grammar proceeds to at least a first state of the grammar, wherein the first state of the grammar is linked to a second state of the grammar and a first state of a statistical language model, and wherein individual links between the grammar and the statistical language model are configured to bias speech recognition to use the grammar over the statistical language model; determining a first score using (1) acoustic information regarding the utterance and (2) a first weight associated with a link from the first state of the grammar to the second state of the grammar; determining a second score using (1) acoustic information regarding the utterance and (2) a second weight associated with a link from the first state of the grammar to the first state of the statistical language model; if the first score is greater than the second score, continuing speech recognition on the audio data using the second state of the grammar; and if the second score is greater than the first score, continuing speech recognition on the audio data using the first state of the statistical language model.
7. The computer-implemented method of claim 6 , wherein the statistical language model comprises an n-gram language model.