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# Who cites «Classifying Syntactic Errors in Learner Language»

16 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/choshen-2020-classifying-syntactic-errors-learner-language/)

1. [ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation](https://arxiv.org/abs/2606.10765) *— 2026 · arXiv:2606.10765*
2. [Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://aclanthology.org/2026.bea-1.26/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
3. [Multi-Reference Benchmarks for Russian Grammatical Error Correction](https://aclanthology.org/2024.eacl-long.76/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)](https://aclanthology.org/2024.lrec-tutorials.4/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Tutorial Summaries*
5. [Universal Dependencies for Learner Russian](https://aclanthology.org/2024.lrec-main.1486/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
6. [A query engine for L1-L2 parallel dependency treebanks](https://aclanthology.org/2023.nodalida-1.57/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
7. [Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://aclanthology.org/2023.emnlp-main.396/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
8. [Error syntax aware augmentation of feedback comment generation dataset](https://aclanthology.org/2023.inlg-genchal.6/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
9. [Grammatical Error Correction: A Survey of the State of the Art](https://aclanthology.org/2023.cl-3.4/) *— 2023*
10. [Template-guided Grammatical Error Feedback Comment Generation](https://aclanthology.org/2023.eacl-srw.10/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
11. [Revisiting Grammatical Error Correction Evaluation and Beyond](https://aclanthology.org/2022.emnlp-main.463/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [The Grammar-Learning Trajectories of Neural Language Models](https://aclanthology.org/2022.acl-long.568/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Automatic Error Type Annotation for Arabic](https://aclanthology.org/2021.conll-1.47/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
14. [SERRANT: a syntactic classifier for English Grammatical Error Types](https://arxiv.org/abs/2104.02310) *— 2021 · arXiv:2104.02310*
15. lertvittayakumjorn-2022-grasp-library-extracting-exploring-human
16. masciolini-2023-automatically-extracting-morphosyntactical-error-patterns
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