(2010), a generalization of consensus or minimum Bayes risk decoding where the search space consists of those of multiple systems, in that model combination uses forest of derivations of all component models to do the combination.
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.