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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2292-2297

Chinese spelling correction based on fusion of text sequence error probability and Chinese spelling error probability

Sun Zhe
Yu Ke
Wu Xiaofei
School of Artificial Intelligence, Beijing University of Posts & Telecommunications, Beijing 100876, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0816

Abstract

Chinese spelling error correction is a task to detect and correct spelling errors in text. Most Chinese spelling errors are the misuse of semantically, phonetically or morphologically similar characters, so it is common to extract features for mode-ling different modalities. However, the direct fusion of different features or summation using fixed weights prevent the model from learning in an efficient way by ignoring the importance relationship between the information of different modalities and the bias of the model in identifying errors. This paper proposed a new model to improve this problem, called the Chinese error correction algorithm based on the fusion of text sequence error probability and Chinese spelling error probability. The method used the text sequence error probability as the dynamic weight and the common Chinese spelling error probability as the fixed weight to efficiently fuse semantic, phonetic and morphologic information. The model was able to reasonably control the inflow of different modal information into the mixed modal representation and learnt more specifically where the errors occurred. Experiments conducted on the SIGHAN benchmark show that all evaluation scores of the proposed model are improved on different datasets, which validates the feasibility of the algorithm.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0816
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2292-2297
Serial Number: 1001-3695(2023)08-008-2292-06

Publish History

[2023-03-14] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

孙哲, 禹可, 吴晓非. 基于文本序列错误概率和中文拼写错误概率融合的汉语纠错算法 [J]. 计算机应用研究, 2023, 40 (8): 2292-2297. (Sun Zhe, Yu Ke, Wu Xiaofei. Chinese spelling correction based on fusion of text sequence error probability and Chinese spelling error probability [J]. Application Research of Computers, 2023, 40 (8): 2292-2297. )

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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