Chinese Word Segmentation Using Minimal Linguistic Knowledge.

This paper presents a primarily data-driven Chinese word segmentation system and its performances on the closed track using two corpora at the first international Chinese word segmentation bakeoff. The system consists of a new words recognizer, a base segmentation algorithm, and procedures for combining single characters, suffixes, and checking segmentation consistencies.