20. The method of claim 15 , further comprising evaluating the translated output utilizing at least one of a translation score, acoustic score, or a language model score as the decision variables.
15. A computer-implemented training method, comprising acts of: deriving probabilistic decision variables based on decision rules as an integrated scoring framework to evaluate translated output of a machine translation process; training the probabilistic decision variables based on an objective function that integrates a speech recognition process and the machine translation process; updating the decision variables based on gradient-based training; and utilizing a processor to execute the objective function.