Domain adaptation of MT systems through automatic post-editing
Pierre Isabelle, Cyril Goutte, Michel G. Simard · NPARC · 2007
It is generally acknowledged that the performance of rule-based machine translation (RMBT) systems can be greatly improved through domain-specic system adaptation. To that end, RBMT users often choose to invest signicant re-sources into the development of ad hoc MT dictionaries. In this paper, we demonstrate that comparable customization effects can be achieved automatically. One effective way to do that is to post-edit the translations produced by a vanilla RBMT system using a specially-trained statistical machine translation (SMT) system. Our experiments indicate that this method is just as effective as manual customization of system dictionaries in reducing the need for manual post-editing. 1