We propose a method of predicting prosodic phrase boundaries using a SCFG (stochastic context-free grammar) for non-bracketed input word attributes. In this paper, prosodic phrase boundaries are predicted using information generated by a SCFG trained using phrase dependency bracketings and prosody bracketings. Using the Inside-Outside algorithm for training, corpora with phrase dependency brackets are first used to train the SCFG from scratch. Next, this SCFG is re-trained using the same corpora with prosody brackets. Then, the probability of each bracketing structure is computed using the SCFG, and is used as a parameter in the prediction of the prosodic phrase boundaries. To examine the effect of these parameters, prosodic phrase boundaries were predicted. Held-out data: 92.9% of the prosodic phrase boundaries, and 83.1% of the non-prosodic phrase boundaries, were correctly predicted.