Previous approaches to detecting and correcting speech repairs have for the most part separated these two problems. In this paper, we present a statistical model of speech repairs that uses information about the possible correction to help decide whether a speech repair actually occurred. By better modeling the interactions between detection and correction, we are able to improve our detection results.