It is composed of three parts: a dictionary-based N-gram word segmentation for segmenting IV words, a subwordbased tagging by the CRF for recognizing OOVs, and a confidence-dependent word segmentation used for merging the results of both the dictionary-based and the IOB tagging.
section 3 presents our experimental results.