According to the typical characteristics of Vietnamese modifiers post positioned, a Chinese Vietnamese statistical machine translation method that fuses language post positioned characteristic function was proposed. In this method, firstly we analyzed the grammar differences between Chinese and Vietnamese, and extracted the difference of attribute position, adverbial position and qualifier order. Secondly we defined ordering block based on those difference, and added mapping method of ordering block to decoding algorithm in phrase based statistical machine translation model, then recorded N-best candidate translations and its score P produced by decoding. Thirdly reordered ordering block with language post positioned characteristic reordering algorithm and estimated score D by unconditional maximum likelihood probability distribution. Finally we chose the best translation based on score P and score D. We used lexicalized reordering model based phrase statistical machine translation as contrast experiment. The results of experiment show that our method effectively improves the quality of translation.