A Part-Of-Speech Tagging Approach for Chinese-Hmong Mixed Text. Issue 1 (May 2020)

• Record Type: Journal Article
• Authors: Li, Hang-Cheng; Mo, Li-Ping; Qing Zhou, Kai
• Is Part Of: IOP conference series. Volume 864:Issue 1(2020)
• Publication Date: 2020-05
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/864/1/012064
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Part-of-speech (POS) tagging is a basic problem that needs to be solved in the informationization of Chinese-Hmong mixed text including square Hmong characters, so far no one has studied it. This paper proposes a POS tagging approach for Chinese-Hmong mixed text by utilizing improved Hidden Markov Model (HMM) to expand contextual information. The results of comparative experiments based on cross-validation reveal the proposed approach has perfect performance, and is able to obtain tagging results with good consistency and high coverage.