Czech Grammar Error Correction with a Large and Diverse Corpus
Not on the map. Why?
Abstract (arXiv)
We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English. The Grammar Error Correction Corpus for Czech (GECCC) offers a variety of four domains, covering error distributions ranging from high error density essays written by non-native speakers, to website texts, where errors are expected to be much less common. We compare several Czech GEC systems, including several Transformer-based ones, setting a strong baseline to future research. Finally, we meta-evaluate common GEC metrics against human judgements on our data. We make the new Czech GEC corpus publicly available under the CC BY-SA 4.0 license at http://hdl.handle.net/11234/1-4639 .
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 15 of its 60 references that are in the map. First posted on arXiv 14 Jan 2022.
Builds on
15 of 60 references.
References · 15
- 2017Attention Is All You Needcited by 59,932
- 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
- 2020GECToR -- Grammatical Error Correction: Tag, Not Rewritecited by 177
- 2021A Simple Recipe for Multilingual Grammatical Error Correctioncited by 108
- 2017JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correctioncited by 96
- 2018RankME: Reliable Human Ratings for Natural Language Generationcited by 67
- 2019Corpora Generation for Grammatical Error Correctioncited by 53
- 2019Grammatical Error Correction in Low-Resource Scenarioscited by 28
- 2018Efficient Online Scalar Annotation with Bounded Supportcited by 27
- 2019A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learningcited by 26
- 2020Data Weighted Training Strategies for Grammatical Error Correctioncited by 26
- 2021UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Languagecited by 19
Built on by
Citing papers per year: 2022: 4; 2023: 3; 2024: 6; 2025: 3; 2026: 1.
17 papers.
Sort:
By area:
- 2024Large Language Models for Education: A Survey and Outlookcited by 185
- 2022Grammatical Error Correction: A Survey of the State of the Artcited by 43
- 2022MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correctioncited by 33
- 2022Towards standardizing Korean Grammatical Error Correction: Datasets and Annotationcited by 13
- 2024LLMs in Education: Novel Perspectives, Challenges, and Opportunitiescited by 7
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
- 2023CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correctioncited by 5
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
- 2024To Err Is Human, but Llamas Can Learn It Toocited by 3
- 2022Towards Lithuanian grammatical error correctioncited by 2
- 2023Evaluation of really good grammatical error correctioncited by 2
- 2023Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmentingcited by 2
5 more
- 2025Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibilitycited by 2
- 2024GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correctioncited by 1
- 2024Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detectioncited by 0
- 2025Refining Czech GEC: Insights from a Multi-Experiment Approachcited by 0
- 2026ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanationcited by 0
- 2026ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation9 Jun 2026
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspective30 Jul 2025
- 2025Refining Czech GEC: Insights from a Multi-Experiment Approach27 Jun 2025
- 2025Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility9 Jun 2025
- 2024GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction16 Oct 2024
- 2024LLMs in Education: Novel Perspectives, Challenges, and Opportunities18 Sep 2024
- 2024Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection16 Jul 2024
- 2024Large Language Models for Education: A Survey and Outlook26 Mar 2024
- 2024To Err Is Human, but Llamas Can Learn It Too8 Mar 2024
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends15 Jan 2024
- 2023Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting20 Oct 2023
- 2023Evaluation of really good grammatical error correction17 Aug 2023
5 more
- 2023CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction18 May 2023
- 2022Grammatical Error Correction: A Survey of the State of the Art9 Nov 2022
- 2022Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation25 Oct 2022
- 2022MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction23 Apr 2022
- 2022Towards Lithuanian grammatical error correction18 Mar 2022
- 2024Large Language Models for Education: A Survey and Outlookcited by 185
- 2022Grammatical Error Correction: A Survey of the State of the Artcited by 43
- 2022MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correctioncited by 33
- 2022Towards standardizing Korean Grammatical Error Correction: Datasets and Annotationcited by 13
- 2024LLMs in Education: Novel Perspectives, Challenges, and Opportunitiescited by 7
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
- 2023CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correctioncited by 5
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
- 2024To Err Is Human, but Llamas Can Learn It Toocited by 3
- 2022Towards Lithuanian grammatical error correctioncited by 2
- 2023Evaluation of really good grammatical error correctioncited by 2
- 2023Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmentingcited by 2
12 most cited of 16 All 16 (JSON)
- 2026ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation9 Jun 2026
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspective30 Jul 2025
- 2025Refining Czech GEC: Insights from a Multi-Experiment Approach27 Jun 2025
- 2025Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility9 Jun 2025
- 2024GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction16 Oct 2024
- 2024LLMs in Education: Novel Perspectives, Challenges, and Opportunities18 Sep 2024
- 2024Large Language Models for Education: A Survey and Outlook26 Mar 2024
- 2024To Err Is Human, but Llamas Can Learn It Too8 Mar 2024
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends15 Jan 2024
- 2023Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting20 Oct 2023
- 2023Evaluation of really good grammatical error correction17 Aug 2023
- 2023CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction18 May 2023
12 newest of 16 All 16 (JSON)