---
title: "Who cites The BEA-2019 Shared Task on Grammatical Error…"
description: "The papers of the Elamur Research library that cite «The BEA-2019 Shared Task on Grammatical Error Correction», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/"
---
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# Who cites «The BEA-2019 Shared Task on Grammatical Error Correction»

245 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/3/)

1. [A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://aclanthology.org/2026.lrec-1.137/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents](https://aclanthology.org/2026.findings-acl.1481/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
3. [Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction](https://aclanthology.org/2026.bea-1.60/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
4. [Evaluating Small Decoder-Only Language Models for Grammar Correction and Text Simplification](https://arxiv.org/abs/2601.03874) *— 2026 · arXiv:2601.03874*
5. [Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs](https://arxiv.org/abs/2603.17171) *— 2026 · arXiv:2603.17171*
6. [FinnGEC: Benchmarking Grammatical Error Correction for Finnish](https://aclanthology.org/2026.bea-1.33/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
7. [Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction](https://aclanthology.org/2026.bea-1.77/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
8. [Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation](https://aclanthology.org/2026.tacl-1.77/) *— 2026*
9. [How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction?](https://aclanthology.org/2026.unlp-1.13/) *— 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)*
10. [Incentives Of EdTech: A Systematic Review Of EduNLP Research](https://aclanthology.org/2026.bea-1.50/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
11. [Instruction-Following LLMs for Grammatical Error Correction: Analyzing Neutral-Anchored Instructional Sensitivity Across Editing Modes](https://aclanthology.org/2026.bea-1.17/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
12. [K-Merge: Online Continual Merging of Adapters for On-device Large Language Models](https://aclanthology.org/2026.acl-long.137/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Kateryna Karpo; Artem Chernodub. How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction? // UNLP 2026](https://aclanthology.org/2026.unlp-1.13/) *— 2026 · UNLP 2026*
14. [LLM-Powered but Rule-Grounded: Pedagogically Relevant Grammatical Error Characterization for Learner Model Construction](https://aclanthology.org/2026.bea-1.58/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
15. [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)*
16. [RILEC: Detection and Generation of L1 Russian Interference Errors in English Learner Texts](https://aclanthology.org/2026.lrec-1.848/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
17. [STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study](https://arxiv.org/abs/2608.28614) *— 2026 · arXiv:2608.28614*
18. [TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech](https://aclanthology.org/2026.law-main.20/) *— 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)*
19. [Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References?](https://aclanthology.org/2026.acl-long.2193/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty Prediction](https://aclanthology.org/2026.bea-1.75/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
21. [A Platform for Generating Educational Activities to Teach English as a Second Language](https://arxiv.org/abs/2504.20251) *— 2025 · arXiv:2504.20251*
22. [APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification](https://aclanthology.org/2025.ranlp-1.28/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
23. [ARWI: Arabic Write and Improve](https://aclanthology.org/2025.in2writing-1.2/) *— 2025 · Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)*
24. [Adapting LLMs for Minimal-edit Grammatical Error Correction](https://aclanthology.org/2025.bea-1.9/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
25. [BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses](https://aclanthology.org/2025.bea-1.102/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
26. [Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction](https://arxiv.org/abs/2502.15261) *— 2025 · arXiv:2502.15261*
27. [Cross-Genre Native Language Identification with Open-Source Large Language Models](https://aclanthology.org/2025.luhme-1.10/) *— 2025 · Proceedings of the 2nd LUHME Workshop*
28. [DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction](https://aclanthology.org/2025.bhasha-1.16/) *— 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)*
29. [DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing](https://aclanthology.org/2025.acl-long.659/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models](https://aclanthology.org/2025.coling-main.666/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
31. [Edit-Wise Preference Optimization for Grammatical Error Correction](https://aclanthology.org/2025.coling-main.229/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
32. [Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.findings-acl.1090/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
33. [Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study](https://aclanthology.org/2025.acl-long.875/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.naacl-long.251/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
35. [GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages](https://aclanthology.org/2025.bea-1.59/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
36. [Grammatical Error Correction via Sequence Tagging for Russian](https://aclanthology.org/2025.acl-srw.82/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
37. [HiLearners: Non-Native Spoken Hindi Error Correction](https://aclanthology.org/2025.findings-ijcnlp.78/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
38. [HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging](https://aclanthology.org/2025.emnlp-main.1365/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
39. [IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator](https://aclanthology.org/2025.findings-acl.1315/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
40. [Identifying and analyzing `noisy' spelling errors in a second language corpus](https://aclanthology.org/2025.wnut-1.4/) *— 2025 · Proceedings of the Tenth Workshop on Noisy and User-generated Text*
41. [Improving Automatic Grammatical Error Annotation for Chinese Through Linguistically-Informed Error Typology](https://aclanthology.org/2025.coling-main.189/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
42. [Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models](https://aclanthology.org/2025.findings-ijcnlp.74/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
43. [IndiGEC: Multilingual Grammar Error Correction for Low-Resource Indian Languages](https://aclanthology.org/2025.emnlp-main.1139/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
44. [InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning](https://aclanthology.org/2025.coling-main.9/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
45. [Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction](https://aclanthology.org/2025.unlp-1.17/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
46. [LLM-Assisted, Iterative Curriculum Writing: A Human-Centered AI Approach in Finnish Higher Education](https://aclanthology.org/2025.bea-1.76/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
47. [LLM-based post-editing as reference-free GEC evaluation](https://aclanthology.org/2025.bea-1.16/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
48. [LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection](https://aclanthology.org/2025.bea-1.38/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
49. [Large Language Models are Good Annotators for Type-aware Data Augmentation in Grammatical Error Correction](https://aclanthology.org/2025.coling-main.14/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
50. [Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation](https://aclanthology.org/2025.findings-acl.431/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
51. [Leveraging What”s Overfixed: Post-Correction via LLM Grammatical Error Overcorrection](https://aclanthology.org/2025.emnlp-main.1431/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
52. [Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility](https://aclanthology.org/2025.bea-1.15/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
53. [Reliability Crisis of Reference-free Metrics for Grammatical Error Correction](https://aclanthology.org/2025.findings-emnlp.1356/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
54. [Rubrik”s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset](https://aclanthology.org/2025.acl-long.1160/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Scalar_NITK at SHROOM-CAP: Multilingual Factual Hallucination and Fluency Error Detection in Scientific Publications Using Retrieval-Guided Evidence and Attention-Based Feature Fusion](https://aclanthology.org/2025.chomps-main.9/) *— 2025 · Proceedings of the 1st Workshop on Confabulation, Hallucinations and Overgeneration in Multilingual and Practical Settings (CHOMPS 2025)*
56. [Targeted Syntactic Evaluation for Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/koyama-2025-targeted-syntactic-evaluation-grammatical-error/) *— our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [The MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL](https://aclanthology.org/2025.nlp4call-1.1/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
58. [Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation](https://aclanthology.org/2025.hcinlp-1.15/) *— 2025 · Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)*
59. [Towards Prompt Generalization: Grammar-aware Cross-Prompt Automated Essay Scoring](https://aclanthology.org/2025.findings-naacl.153/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
60. [Tracing L1 Interference in English Learner Writing: A Longitudinal Corpus with Error Annotations](https://aclanthology.org/2025.emnlp-main.766/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
61. [UAM-CSI at MultiGEC-2025: Parameter-efficient LLM Fine-tuning for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.nlp4call-1.3/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
62. [Unified Automated Essay Scoring and Grammatical Error Correction](https://aclanthology.org/2025.findings-naacl.250/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
63. [UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment](https://aclanthology.org/2025.emnlp-main.491/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
64. [VisCGEC: Benchmarking the Visual Chinese Grammatical Error Correction](https://aclanthology.org/2025.naacl-long.261/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
65. [A Conversational Intelligent Tutoring System for Improving English Proficiency of Non-Native Speakers via Debriefing of Online Meeting Transcriptions](https://aclanthology.org/2024.nlp4call-1.14/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
66. [A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages](https://aclanthology.org/2024.findings-eacl.10/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
67. [Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context](https://aclanthology.org/2024.lrec-main.146/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
68. [Automatic Error Detection: Comparing AI vs. Human Performance on L2 Italian Texts](https://aclanthology.org/2024.clicit-1.44/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
69. [Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models](https://aclanthology.org/2024.wnut-1.1/) *— 2024 · Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024)*
70. [Detection-Correction Structure via General Language Model for Grammatical Error Correction](https://aclanthology.org/2024.acl-long.96/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
72. [Efficient and Interpretable Grammatical Error Correction with Mixture of Experts](https://aclanthology.org/2024.findings-emnlp.997/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
73. [Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency](https://aclanthology.org/2024.lrec-main.569/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
74. [Evaluating the Generalisation of an Artificial Learner](https://aclanthology.org/2024.nlp4call-1.15/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
75. [GEE! Grammar Error Explanation with Large Language Models](https://aclanthology.org/2024.findings-naacl.49/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
76. [Grammatical Error Correction for Code-Switched Sentences by Learners of English](https://aclanthology.org/2024.lrec-main.698/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
77. [Improving Grammatical Error Correction by Correction Acceptability Discrimination](https://aclanthology.org/2024.lrec-main.772/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
78. [Improving Grammatical Error Correction via Contextual Data Augmentation](https://aclanthology.org/2024.findings-acl.647/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
79. [LLM-based Code-Switched Text Generation for Grammatical Error Correction](https://aclanthology.org/2024.emnlp-main.942/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
80. [Large language models for education: A survey and outlook](https://arxiv.org/abs/2403.18105) *— 2024*
81. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
82. [No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models](https://aclanthology.org/2024.eacl-long.73/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models](https://aclanthology.org/2024.bea-1.3/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
84. [Prompting open-source and commercial language models for grammatical error correction of English learner text](https://aclanthology.org/2024.findings-acl.711/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
85. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
86. [Semantic Error Prediction: Estimating Word Production Complexity](https://aclanthology.org/2024.nlp4call-1.16/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
87. [Small Language Models Improve Giants by Rewriting Their Outputs](https://aclanthology.org/2024.eacl-long.165/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Speak & Improve Challenge 2025: Tasks and Baseline Systems](https://arxiv.org/abs/2412.11985) *— 2024 · arXiv:2412.11985*
89. [Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback](https://arxiv.org/abs/2412.11986) *— 2024 · arXiv:2412.11986*
90. [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://aclanthology.org/2024.findings-naacl.210/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
91. [To Ask LLMs about English Grammaticality, Prompt Them in a Different Language](https://aclanthology.org/2024.findings-emnlp.916/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
92. [Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond](https://aclanthology.org/2024.bea-1.21/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
93. [Towards Better Utilization of Multi-Reference Training Data for Chinese Grammatical Error Correction](https://aclanthology.org/2024.findings-acl.180/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
94. [Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction](https://aclanthology.org/2024.naacl-long.99/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
95. [Weaver: Foundation Models for Creative Writing](https://arxiv.org/abs/2401.17268) *— 2024 · arXiv:2401.17268*
96. [mEdIT: Multilingual Text Editing via Instruction Tuning](https://aclanthology.org/2024.naacl-long.56/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
97. [n-gram F-score for Evaluating Grammatical Error Correction](https://aclanthology.org/2024.inlg-main.25/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
98. [A Closer Look at k-Nearest Neighbors Grammatical Error Correction](https://aclanthology.org/2023.bea-1.19/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
99. [A distantly supervised Grammatical Error Detection/Correction system for Swedish](https://aclanthology.org/2023.nlp4call-1.4/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
100. [ALLECS: A Lightweight Language Error Correction System](https://aclanthology.org/2023.eacl-demo.32/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/3/)