In this paper, a global prosodic word grouping probability estimation method is proposed. By using some statistical probabilities of four kinds of lexical word position types, the optimum prosodic word grouping path of a sentence can be obtained with the dynamic programming approach. In addition, some statistical and rule punish or encourage strategies have been used to improve the accuracy of prosodic word grouping. Lastly, experiment results and discussion are presented.