20. The method of claim 13 , wherein the applying is implemented in a single decoding pass.
13. 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 compute probabilities that portions of the input data set conform to a standard form language and probabilities that the portions of the input data set 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 weighting the models in accordance with each of the computed probabilities; and outputting speech recognition results obtained in accordance with said applying.