10. A method for providing a language classification of a media item, the operations comprising: determining a context characteristic indicating one or more users who have interacted with the media item; wherein the context characteristic corresponds to a computed likelihood that the media item is in one or more languages based on determined language abilities of the users who have interacted with the media item; computing, based on the determined context characteristic and corresponding computed likelihood, a context prediction that the media item is in one or more first languages; applying a trained n-gram analysis of the media item to compute a trained prediction that the media item is in one or more second languages; wherein the trained n-gram analysis of the media item comprises, for one or more n-grams in the media item having a particular length, analyzing a specified probability distribution that the n-gram is in a specific language; and combining the context prediction with the trained prediction.
10. A method for providing a language classification of a media item, the operations comprising: determining a context characteristic indicating one or more users who have interacted with the media item; wherein the context characteristic corresponds to a computed likelihood that the media item is in one or more languages based on determined language abilities of the users who have interacted with the media item; computing, based on the determined context characteristic and corresponding computed likelihood, a context prediction that the media item is in one or more first languages; applying a trained n-gram analysis of the media item to compute a trained prediction that the media item is in one or more second languages; wherein the trained n-gram analysis of the media item comprises, for one or more n-grams in the media item having a particular length, analyzing a specified probability distribution that the n-gram is in a specific language; and combining the context prediction with the trained prediction. 12. The method of claim 10 , further comprising combining the context prediction with a prediction based on dictionary classifiers, wherein the dictionary classifiers select one or more words of the media item which indicate a particular probability that media items containing the selected words are in a certain language.