16. A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for generating a language processing model, the operations comprising: obtaining one or more multi-media labels, wherein each multi-media label is based on a corresponding multi-media item that is associated with a content item, and wherein each particular multi-media label is associated with one or more n-grams from the content item that is associated with the multi-media item that corresponds to the particular multi-media label; including, in a language corpus, the one or more n-grams associated with each of the one or more multi-media labels; and generating the language processing model comprising a probability distribution by computing, for each selected n-gram of multiple n-grams in the language corpus, a frequency that the selected n-gram occurs in the language corpus, wherein at least one of the probabilities provided by the probability distribution is based on the associations between the one or more multi-media labels and the one or more n-grams.
17. The non-transitory computer-readable storage medium of claim 16 , wherein the association of at least one multi-media label, of the one or more multi-media labels, to the one or more n-grams is a result of performing object identification on the multi-media item that corresponds to the at least one multi-media label.