Both of these models can be called grammar-based models, in that they capture the syntactic structure of a sentence, and the model parameters are estimated from syntactically annotated corpora such as the Penn Treebank.
in order to deal with the data sparseness problem, we used a backoff scheme (Katz, 1987) for parameter estimation.