We expect to achieve better alignment quality by using a model that takes into account both types of dependencies.
we combine HMM and Model 4 in a log-linear way and call the resulting model Model 6: Here, the interpolation parameter α is employed to weigh Model 4 relative to the hidden Markov alignment model.