In the typical log-linear model SMT, the posterior probability for each phrase pair (ē,f ) is given by: Ensemble decoding uses the same framework for each individual system.
it requires all component models to fully decode each sentence, compute n-gram expectations from each component model and calculate posterior probabilities over translation derivations.