A recent attempt to combine outputs of different alignments views the combination problem as a classifier ensemble in the neural network framework (Ayan et al., 2005).
this method is subject to the unpredictability of random network initialization, whereas ACME is guaranteed to find the model that maximizes the likelihood of training data.