Zwarts and Dras (2008) explore the <cite>Collins et al. (2005)</cite> finding by examining whether machine learning techniques can be used to predict, on a sentence-by-sentence basis, whether the translation of the reordered sentence is to be preferred over the alternative. Our work has some similarities to that of Zwarts and Dras (2008) but uses the log-linear model of the translation system itself to include features, rather than a separate classifier that does not permit interaction between the confidence features and features used during translation.