This paper presents our work for participation in the 2012 CIPS-SIGHAN shared task of Traditional Chinese Parsing. We have adopted two multilingual parsing models – a factored model (Stanford Parser) and an unlexicalized model (Berkeley Parser) for parsing the Sinica Treebank. This paper also proposes a new Chinese unknown word model and integrates it into the Berkeley Parser. Our experiment gives the first result of adapting existing multilingual parsing models to the Sinica Treebank and shows that the parsing accuracy can be improved by our suggested approach.