This paper proposed a novel reordering model based on the reordering of source language chunks. This model is used as a preprocessing step of phrase-based translation models and could be well integrated with them. At the same time, as a chunk-based model, syntax information could be concerned in the process of reordering while the entire parsing of the source sentence is not required. Two experiments were carried out and the results showed that the proposed model could improve the performance of a phrase-based statistical machine translation (SMT) system greatly
