mlsanityData to 14 Oct 2026

Overview of CTC 2021: Chinese Text Correction for Native Speakers

arXiv 2208.05681 ↗First posted 11 Aug 2022cs.CLcited by 6

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Abstract (arXiv)

In this paper, we present an overview of the CTC 2021, a Chinese text correction task for native speakers. We give detailed descriptions of the task definition and the data for training as well as evaluation. We also summarize the approaches investigated by the participants of this task. We hope the data sets collected and annotated for this task can facilitate and expedite future development in this research area. Therefore, the pseudo training data, gold standards validation data, and entire leaderboard is publicly available online at https://destwang.github.io/CTC2021-explorer/.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 5 of its 13 references that are in the map. First posted on arXiv 11 Aug 2022.

Builds on

5 of 13 references.

References · 5

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2020GECToR -- Grammatical Error Correction: Tag, Not Rewritecited by 177
  5. 2021Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checkingcited by 52

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Cited by year

Citing papers per year: 2022: 1; 2023: 2; 2024: 2; 2025: 1.

6 papers.

  1. 2024Large Language Models for Education: A Survey and Outlookcited by 188
  2. 2023On the (In)Effectiveness of Large Language Models for Chinese Text Correctioncited by 54
  3. 2022CSCD-NS: a Chinese Spelling Check Dataset for Native Speakerscited by 13
  4. 2023FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotationcited by 5
  5. 2025A Training-free LLM-based Approach to General Chinese Character Error Correctioncited by 4
  6. 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3