5. A computer-implemented method comprising: under control of one or more computing devices configured to execute specific instructions, obtaining language use prediction data regarding an item; determining, using the language use prediction data and a machine learning model trained to generate probabilities based on the language use prediction data, probability information regarding a probability that the item will be referenced in a future utterance; modifying a natural language processing model based at least partly on the probability information; determining a probability, from a general model, that a name of the item is included in a user utterance; and adjusting, using the natural language processing model, the probability that the name of the item is included in the user utterance.
8. The computer-implemented method of claim 5 , wherein the language use prediction data comprises at least one of: news information, sales information, trending topic information, temporal information, or information from an application that uses the natural language processing model.