Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Classifying Syntactic Errors in Learner Language»

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

  1. ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation — 2026 · arXiv:2606.10765
  2. Opportunities and Challenges of LLMs in Education: An NLP Perspective — 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 — 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) — 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 — 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 — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
  7. Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  8. Error syntax aware augmentation of feedback comment generation dataset — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
  9. Grammatical Error Correction: A Survey of the State of the Art — 2023
  10. Template-guided Grammatical Error Feedback Comment Generation — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  12. The Grammar-Learning Trajectories of Neural Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Automatic Error Type Annotation for Arabic — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  14. SERRANT: a syntactic classifier for English Grammatical Error Types — 2021 · arXiv:2104.02310
  15. lertvittayakumjorn-2022-grasp-library-extracting-exploring-human
  16. masciolini-2023-automatically-extracting-morphosyntactical-error-patterns

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/choshen-2020-classifying-syntactic-errors-learner-language/