mlsanityData to 7 Oct 2026

ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Corrector

arXiv 2511.17562 ↗First posted 13 Nov 2025cs.CL cs.AIcited by 2

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Abstract (arXiv)

This paper introduces ChineseErrorCorrector3-4B, a unified model for Chinese spelling and grammatical error correction based on Qwen3-4B. The model demonstrates outstanding performance in general text correction tasks and achieves state-of-the-art results in both spelling correction (CSC) and grammatical correction (CGC). On several authoritative benchmark datasets -- including SIGHAN-2015, EC-LAW, MCSC, and NaCGEC -- the model's F1 and F0.5 scores significantly surpass existing publicly available models, ranking first in both spelling and grammatical error correction tasks.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 13 Nov 2025.

Builds on

11 of 18 references.

References · 11

  1. 2025Qwen3 Technical Reportcited by 8,195
  2. 2020GECToR -- Grammatical Error Correction: Tag, Not Rewritecited by 177
  3. 2020Spelling Error Correction with Soft-Masked BERTcited by 90
  4. 2022MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correctioncited by 33
  5. 2022General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretrainingcited by 25
  6. 2022Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correctioncited by 25
  7. 2023Rethinking Masked Language Modeling for Chinese Spelling Correctioncited by 19
  8. 2022FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correctioncited by 13
  9. 2022CSCD-NS: a Chinese Spelling Check Dataset for Native Speakerscited by 13
  10. 2023NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Textscited by 9
  11. 2022MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correctioncited by 8

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Citing papers per year: 2026: 2.

2 papers.