Author(s)

Zhou Shiying

Corresponding Author

Zhou Shiying

ABSTRACT

With the rapid growth of network resources, how to extract comprehensive and accurate information from these massive network information has become increasingly important. In this paper, the method of Chinese word segmentation in full-text retrieval system is studied, and a Chinese word segmentation method based on maximum probability method is proposed. The experimental data show that the algorithm can effectively solve the problem of Chinese word segmentation.

KEYWORDS

Chinese word segmentation, maximum probability method, statistical model