We present a simple and effective framework for exploiting multiple monolingual treebanks with different annotation guidelines for pars-ing. Several types of transformation patterns (TP) are designed to capture the systematic an-notation inconsistencies among different tree-banks. Based on such TPs, we design quasi-synchronous grammar features to augment the baseline parsing models. Our approach can significantly advance the state-of-the-art pars-ing accuracy on two widely used target tree-banks (Penn Chinese Treebank 5.1 and 6.0) using the Chinese Dependency Treebank as the source treebank. The improvements are respectively 1.37 % and 1.10 % with automatic part-of-speech tags. Moreover, an indirect comparison indicates that our approach also outperforms previous work based on treebank conversion. 1