Research on the Integration of Ancient Chinese Word Segmentation and Labeling Based on CRF
摘要
This paper explores word segmentation and part-of-speech tagging in ancient Chinese, especially in pre-Qin documents. Firstly, word processing (segmentation and part-of-speech tagging) and investigation analysis are carried out on Zuozhuan text. Then conditional random field model (CRF) is used to carry out comparative experiments on automatic segmentation, part-of-speech tagging and segmentation tagging integration. This research can serve for ancient Chinese vocabulary research and corpus construction to make up for the shortage of manual tagging.