As a result, it is very hard to recognize out-of-vocabulary idioms for word segmentation.
we think there are two main reasons: (1) The POS information provided by the local classifier is inaccurate; (2) The structured learning of the sub-word tagger can use real predicted sub-word labels during its decoding time, since this learning algorithm does inference during the training time.