mlsanityData to 14 Oct 2026

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

arXiv 2305.16023 ↗First posted 25 May 2023cs.CLcited by 9

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Abstract (arXiv)

We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research primarily focuses on correcting texts from a single domain, especially learner essays. To broaden the target domain, we annotate multiple references for 12,500 sentences from three native domains, i.e., social media, scientific writing, and examination. We provide solid benchmark results for NaSGEC by employing cutting-edge CGEC models and different training data. We further perform detailed analyses of the connections and gaps between our domains from both empirical and statistical views. We hope this work can inspire future studies on an important but under-explored direction--cross-domain GEC.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 29 of its 58 references that are in the map. First posted on arXiv 25 May 2023.

Builds on

29 of 58 references.

References · 29

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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 2; 2026: 3.

9 papers.

  1. 2023GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuningcited by 23
  2. 2023RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbationcited by 6
  3. 2025ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Correctorcited by 2
  4. 2024An Analysis of Language Frequency and Error Correction for Esperantocited by 0
  5. 2024System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluationcited by 0
  6. 2025COLA-GEC: A Bidirectional Framework for Enhancing Grammatical Acceptability and Error Correctioncited by 0
  7. 2026CLFEC: A New Task for Unified Linguistic and Factual Error Correction in paragraph-level Chinese Professional Writingcited by 0
  8. 2026CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewardscited by 0
  9. 2026VAA-CSEC: Vote-guided Advantage Allocation for Chinese Semantic Error Correctioncited by 0