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Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check

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Natural Language Processing and Chinese Computing (NLPCC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14304))

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Abstract

This paper provides an overview of the Chinese Spelling Check shared task 8, held at NLPCC 2023. The task aims to correct spelling errors in Chinese sentences, including homophonic errors, visually similar errors, and other types of errors found in Chinese news articles. We present the task’s description, previous work related to Chinese Spelling Check, statistics on the provided dataset, evaluation results, and a summary of the submitted approaches. The dataset consists of 1k instances for development and 11k instances for evaluation, collected from publicly available news articles and books. The errors in the dataset were manually identified and labeled. A total of 47 teams registered for the task, with 12 teams submitting their results. The evaluation metric used is the F1 score, with the highest achieved score being 0.5888. The submitted approaches employ various techniques to enhance performance, each focusing on different aspects of the problem. For more information, please visit our official website.

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Notes

  1. 1.

    https://github.com/Arvid-pku/NLPCC2023_Shared_Task8.

  2. 2.

    Please note that the references to external datasets have been hyperlinked for ease of access and reference.

  3. 3.

    https://github.com/BYVoid/OpenCC.

  4. 4.

    https://github.com/Arvid-pku/NLPCC2023_Shared_Task8.

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Author information

Authors and Affiliations

  1. Wangxuan Institute of Computer Technology, Peking University, Beijing, China

    Xunjian Yin & Xiaojun Wan

  2. Center for Data Science, Peking University, Beijing, China

    Xunjian Yin & Xiaojun Wan

  3. The MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, China

    Xunjian Yin & Xiaojun Wan

  4. Beijing Founder Electronics Co., Ltd., Beijing, China

    Dan Zhang, Linlin Yu & Long Yu

Authors
  1. Xunjian Yin
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  2. Xiaojun Wan
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  3. Dan Zhang
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  4. Linlin Yu
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  5. Long Yu
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Correspondence to Xunjian Yin .

Editor information

Editors and Affiliations

  1. Emory University, Atlanta, GA, USA

    Fei Liu

  2. Microsoft Research Asia, Beijing, China

    Nan Duan

  3. Soochow University, Suzhou, China

    Qingting Xu

  4. Soochow University, Suzhou, China

    Yu Hong

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Yin, X., Wan, X., Zhang, D., Yu, L., Yu, L. (2023). Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check. In: Liu, F., Duan, N., Xu, Q., Hong, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2023. Lecture Notes in Computer Science(), vol 14304. Springer, Cham. https://doi.org/10.1007/978-3-031-44699-3_30

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  • DOI: https://doi.org/10.1007/978-3-031-44699-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-44698-6

  • Online ISBN: 978-3-031-44699-3

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