If one equates optimum parameter estimation with finding the global maximum for the likelihood of the training data, then this result would seem to show no improvement is possible.
in virtually every application of statistical techniques in natural-language processing, maximizing the likelihood of the training data causes overfitting, resulting in lower task performance than some other estimates for the model parameters.