12. The method of claim 10 , wherein the analyzing comprises distinguishing phones of the standard form language and the at least one dialect.
10. A method for automatic speech recognition comprising: identifying at least one dialect of a standard form language in input data by distinguishing phones of the standard form language and the at least one dialect, the identifying further comprising generating a phone decoder for building an acoustic input training data set; analyzing the acoustic input data set to identify portions of the input data set that conform to a standard form language and to identify portions of the input data set that conform to at least one dialect of the standard form language; performing automatic speech recognition by applying, with at least one hardware processor, a standard form language model and at least one dialect language model to the input data set, the performing including dynamically selecting between the models in accordance with each of the identified portions; and outputting speech recognition results obtained in accordance with said applying.