Abstract
In this paper, we propose a novel method to measure the consistency of alignment as a whole. It is based on probabilistic features, using dependency type distance and distance-score function. Since this method is based on tree structure, the linguistic difference between source and target language is successfully grasped. Moreover, with this method, appropriate correspondences can be selected among corresponding candidates. We conduct experiments on Japanese-English newspaper corpus, and achieve reasonably high accuracy compared with other language pairs which have less linguistic differences.
