6. The computer-implemented method of claim 5 , wherein the cascaded composition fuses heterogeneous information of the weighted finite state transducers.
5. A method for creating a disfluency translation lattice comprising: providing a plurality of weighted finite state transducers including a translation model, a language model, and a phrase segmentation model as input; performing a cascaded composition of the weighted finite state transducers to create a disfluency translation lattice; storing the disfluency translation lattice to a non-transitory computer-readable medium; and coupling the disfluency translation lattice to a decoder for receiving noisy speech transcript and outputting clean speech transcript corresponding to the noisy speech transcript, wherein the clean speech transcript is output comprising disfluent class label tokens replacing disfluent speech, and wherein the tokens include tags identifying a type of disfluency, wherein the method is embodied in micro instruction code executed by a computer system.