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MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

arXiv 2204.10994 ↗First posted 23 Apr 2022cs.CLcited by 33

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Abstract (arXiv)

This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7,063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources. Each sentence is corrected by three annotators, and their corrections are carefully reviewed by a senior annotator, resulting in 2.3 references per sentence. We conduct experiments with two mainstream CGEC models, i.e., the sequence-to-sequence model and the sequence-to-edit model, both enhanced with large pretrained language models, achieving competitive benchmark performance on previous and our datasets. We also discuss CGEC evaluation methodologies, including the effect of multiple references and using a char-based metric. Our annotation guidelines, data, and code are available at urlhttps://github.com/HillZhang1999/MuCGEC.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 24 of its 61 references that are in the map. First posted on arXiv 23 Apr 2022.

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24 of 61 references.

References · 24

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Citing papers per year: 2022: 9; 2023: 12; 2024: 6; 2025: 4; 2026: 2.

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  1. 2023LawBench: Benchmarking Legal Knowledge of Large Language Modelscited by 111
  2. 2023On the (In)Effectiveness of Large Language Models for Chinese Text Correctioncited by 53
  3. 2022Grammatical Error Correction: A Survey of the State of the Artcited by 43
  4. 2022SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parsercited by 32
  5. 2022Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correctioncited by 25
  6. 2023GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuningcited by 23
  7. 2022FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correctioncited by 13
  8. 2023Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correctioncited by 13
  9. 2024Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applicationscited by 12
  10. 2024How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?cited by 11
  11. 2023NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Textscited by 9
  12. 2024Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correctioncited by 9
21 more
  1. 2023Non-autoregressive Text Editing with Copy-aware Latent Alignmentscited by 8
  2. 2022From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correctioncited by 7
  3. 2023RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbationcited by 6
  4. 2023CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correctioncited by 5
  5. 2023Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Taskcited by 5
  6. 2023FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotationcited by 5
  7. 2022CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parsercited by 4
  8. 2022Focus Is What You Need For Chinese Grammatical Error Correctioncited by 3
  9. 2023CSED: A Chinese Semantic Error Diagnosis Corpuscited by 3
  10. 2024Loss-Aware Curriculum Learning for Chinese Grammatical Error Correctioncited by 3
  11. 2025ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Correctorcited by 2
  12. 2022Mining Error Templates for Grammatical Error Correctioncited by 1
  13. 2023Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?cited by 1
  14. 2024PERL: Pinyin Enhanced Rephrasing Language Model for Chinese ASR N-best Error Correctioncited by 1
  15. 2022Visual Subtitle Feature Enhanced Video Outline Generationcited by 0
  16. 2024An Analysis of Language Frequency and Error Correction for Esperantocited by 0
  17. 2025Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Modelscited by 0
  18. 2025COLA-GEC: A Bidirectional Framework for Enhancing Grammatical Acceptability and Error Correctioncited by 0
  19. 2025RE2: Improving Chinese Grammatical Error Correction via Retrieving Appropriate Examples with Explanationcited by 0
  20. 2026Data-driven Clustering and Merging of Adapters for On-device Large Language Modelscited by 0
  21. 2026A Layered Taxonomy for Chinese Learner Grammatical Error Annotationcited by 0