Method of Chinese word segmentation based on character-word classification

Abstract

Chinese Word Segmentation CWS is the basic problem of natural language processing.A joint characterword classification model for Chinese Word Segmentation was presented which mainly dealt with the problem of Conditional Random Field CRF.On the one hand the majority of errors in CRF caused by fine granularity were figured out in outsidelayer of the model.On the other hand excessive linked words caused by improper segmentations that were settled in core inside-layer.The experimental results show that the value of F is greatly improved and the good results of word segmentation are easily gained by choosing the hierarchical word segmentation model based on character word classification.