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Algorithm Research & Explore
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355-359,374

Multi-model Chinese word segmentation method based on character clusters

Li Duihong
Wang Peiyan
Zhang Guiping
Zhang Shaoyang
Human-Computer Intelligence Research Center, Shenyang Aerospace University, Shenyang 110136, China

Abstract

Character-based tagging method is currently an effective method in Chinese word segmentation. However, the Chinese characters have their own semantic information, different characters have different meanings and functions in different contexts, which lead to different correlations with context, resulting in the difference of word-formation rules for each word. To solve this problem, this paper proposed a multi-model segmentation method based on character clusters. Firstly, the method separately constructed a model for each word, then clustered the model parameters to form character clusters, and finally retrained the model parameters based on the character clusters. Experimental results show that this method can effectively find character clusters with the same or similar word-formation rules, and distinguish the effect of similar features for different characters.

Foundation Support

辽宁省自然科学基金计划重点项目(20170540705)
国家教育部人文社会青年科学研究基金资助项目(17YJC740087)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0540
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 355-359,374
Serial Number: 1001-3695(2020)02-008-0355-05

Publish History

[2020-02-05] Printed Article

Cite This Article

李对红, 王裴岩, 张桂平, 等. 基于字簇的多模型中文分词方法研究 [J]. 计算机应用研究, 2020, 37 (2): 355-359,374. (Li Duihong, Wang Peiyan, Zhang Guiping, et al. Multi-model Chinese word segmentation method based on character clusters [J]. Application Research of Computers, 2020, 37 (2): 355-359,374. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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