Bayesian Model Averaging (BMA) (Hoeting et al., 1999) is a technique designed to solve uncertainty inherent in model selection.
for SMT tasks, is a source sentence, is the training data, is the th SMT model trained on , represents the probability score predicted by that can be translated into a target sentence .