We consider methods for compressing parse trees, especially techniques based on statistical modeling. We regard a sequence of productions corresponding to a suffix of the path from the root of a tree to a node as the context of a node. The contexts are augmented with branching information of the nodes. By applying the text compression algorithm PPM on such contexts we achieve good compression results. We compare experimentally the PPM approach with other methods. 