Detailed Explanation of the Word-Position Tagging Technology for Chinese Word Segmentation

The performance of Chinese word segmentation has been greatly improved by word-position-based approaches in recent years.This approach treats Chinese word segmentation as a word-position-tagging problem.With the help of powerful sequence tagging model,word-position-based method quickly rose as a mainstream technique in this field.In this paper,the authors briefly introduce the basic idea of the technique,analyze the principle of this approach using conditional random fields.Then,to achieve Chinese Word Segmentation based on word-position tagging via using four word-positions and the CRF++0.53 tools package is explained in details.Finally,closed evaluations are performed on corpus from the Bakeoff2006.