1. A method comprising: retrieving a recorded utterance; retrieving text via optical character recognition; identifying, via a processor, words in the text that are relevant to the recorded utterance based on references within the text to external data, to yield identified words; adding the identified words to a dynamic language model, to generate a modified dynamic language model; and recognizing the recorded utterance using the modified dynamic language model, wherein the modified dynamic language model comprises a speech recognition model.
1. A method comprising: retrieving a recorded utterance; retrieving text via optical character recognition; identifying, via a processor, words in the text that are relevant to the recorded utterance based on references within the text to external data, to yield identified words; adding the identified words to a dynamic language model, to generate a modified dynamic language model; and recognizing the recorded utterance using the modified dynamic language model, wherein the modified dynamic language model comprises a speech recognition model. 9. The method of claim 1 , further comprising: identifying a user in a spoken dialog comprising the recorded utterance; and saving the modified dynamic language model as a personalized dynamic language model associated with the user.