Since Xue (2003), most methods formalize the Chinese word segmentation (CWS) as a sequence labeling problem with character position tags, which can be handled with su-pervised learning methods such as Maximum Entropy (Berger et al., 1996;Low et al., 2005) and Conditional Random Fields (Lafferty et al., 2001;Peng et al., 2004;Zhao et al., 2006a).
those methods heavily depend on the choice of handcrafted features.