Algorithm Research & Explore
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1724-1728,1754

Study of Chinese lexical features based on conditional random fields

Huang Dingqi
Shi Shenghui
College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China

Abstract

There is no word segmentation between vocabularies in Chinese written expression, so the principle of writing(or called lexical features) is what it needs to process the segmentation of Chinese content. Former researches usually marked the lexical features into training content to improve the performance, which increased the manual processing flow and the workload of the algorithm transplantation. Based on conditional random fields(CRF) and the simple tags, this paper improved the recognition performance by concluding the lexical features of Chinese and transforming them to complicated functions which were used by CRF. Experiments show that applying complex lexical features in Chinese word segmentation can effectively improve recognition performance and provide a new way to improve the portability of recognition algorithms in applications.

Foundation Support

北京市教委资助项目(GWGJ201608)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0859
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1724-1728,1754
Serial Number: 1001-3695(2020)06-024-1724-05

Publish History

[2020-06-05] Printed Article

Cite This Article

黄定琦, 史晟辉. 基于条件随机场的汉语词汇特征研究 [J]. 计算机应用研究, 2020, 37 (6): 1724-1728,1754. (Huang Dingqi, Shi Shenghui. Study of Chinese lexical features based on conditional random fields [J]. Application Research of Computers, 2020, 37 (6): 1724-1728,1754. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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