The maximization of the likelihood with the above model is equivalent to finding the model p M that is closest to the reference probability p 0 in terms of the Kullback-Leibler distance.
we cannot simply apply the above method to our task because the parameter estimation requires the computation of the above probability for all parse candidates T (s).