Aiming at preventing the OOV recall from dropping sharply and still maintaining an overall performance as good as that of the state-of-art segmenter when working with heterogeneous test sets, we propose in this paper to use a semisupervised way for Chinese word segmentation task.
we propose to use χ 2 statistics together with bootstrapping strategies to build Chinese word segmentation model.