4. The method of claim 3 , the method further comprising: retrieving a second spoken dialog associated with the user; loading the personalized dynamic language model associated with the user; and recognizing the second spoken dialog using the personalized dynamic language model.
3. The method of claim 2 , the method further comprising: identifying a user in the spoken dialog; and saving the dynamic language model as a personalized dynamic language model associated with the user.