Since it is challenging to integrate word features to the CRF inference framework of the existing step action buffer( character-based methods, we take inspiration from word-based discrete segmentation instead.
we follow Zhang and Clark (2007), using the transition-based framework to decode a sentence from left-to-right incrementally, scoring partially segmented results using both character-level and word-level features.