---
title: "Who cites Automatic Annotation and Evaluation of Error…"
description: "The papers of the Elamur Research library that cite «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction», found in their…"
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---
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# Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction»

251 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-2017-automatic-annotation-evaluation-error-types/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/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. [ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation](https://arxiv.org/abs/2606.10765) *— 2026 · arXiv:2606.10765*
3. [COCOGEC: Counterfactual Generation for Robust Grammatical Error Correction](https://aclanthology.org/2026.findings-acl.195/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [Corpora Generation for Urdu Grammatical Error Correction](https://aclanthology.org/2026.findings-acl.2156/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [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)*
6. [Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs](https://arxiv.org/abs/2603.17171) *— 2026 · arXiv:2603.17171*
7. [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)*
8. [Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation](https://aclanthology.org/2026.tacl-1.77/) *— 2026*
9. [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)*
10. [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)*
11. [Multi-component student writing profiles for expert-aligned automated evaluation of English learner essays.](https://aclanthology.org/2026.bea-1.39/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
12. [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)*
13. [Russian Generative Spelling, Punctuation and Capitalization Correction](https://aclanthology.org/2026.lrec-1.773/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
14. [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*
15. [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)*
16. [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)*
17. [Annotating Errors in English Learners” Written Language Production: Advancing Automated Written Feedback Systems](https://arxiv.org/abs/2508.06810) *— 2025 · arXiv:2508.06810 · AIED LNCS 15880 (2025) 292-306*
18. [ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC](https://arxiv.org/abs/2511.14230) *— 2025 · arXiv:2511.14230*
19. [Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems](https://aclanthology.org/2025.aimecon-sessions.2/) *— 2025 · Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers*
20. [BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models](https://arxiv.org/abs/2510.19419) *— 2025 · arXiv:2510.19419*
21. [BLiSS: Evaluating Bilingual Learner Competence in Second Language Small Language Models](https://aclanthology.org/2025.babylm-main.13/) *— 2025 · Proceedings of the First BabyLM Workshop*
22. [CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction](https://aclanthology.org/2025.acl-long.10/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction](https://arxiv.org/abs/2502.15261) *— 2025 · arXiv:2502.15261*
24. [DeMINT: Automated Language Debriefing for English Learners via AI Chatbot Analysis of Meeting Transcripts](https://aclanthology.org/2025.mtsummit-2.18/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 2*
25. [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*
26. [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*
27. [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)*
28. [Fine-tuning GEC Model Based on Language Family Corpus](https://aclanthology.org/2025.ccl-1.70/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
29. [GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction](https://aclanthology.org/2025.coling-demos.16/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
30. [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*
31. [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*
32. [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*
33. [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*
34. [Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction](https://aclanthology.org/2025.acl-srw.77/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
35. [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*
36. [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)*
37. [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)*
38. [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)*
39. [Lattice @MultiGEC-2025: A Spitful Multilingual Language Error Correction System Using LLaMA](https://aclanthology.org/2025.nlp4call-1.2/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
40. [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*
41. [Low-Resource Grammatical Error Correction: Selective Data Augmentation with Round-Trip Machine Translation](https://aclanthology.org/2025.findings-acl.1322/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
42. [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)*
43. [Paragraph-level Error Correction and Explanation Generation: Case Study for Estonian](https://aclanthology.org/2025.bea-1.72/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
44. [Refined Evaluation for End-to-End Grammatical Error Correction Using an Alignment-Based Approach](https://aclanthology.org/2025.coling-main.52/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
45. [Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?](https://aclanthology.org/2025.acl-short.92/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
46. [Small Languages, Big Models: A Study of Continual Training on Languages of Norway](https://aclanthology.org/2025.nodalida-1.61/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
47. [Smruti: Grammatical Error Correction for Gujarati using LLMs with Non-Parametric Memory](https://aclanthology.org/2025.findings-ijcnlp.28/) *— 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*
48. [Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications](https://aclanthology.org/2025.acl-industry.78/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
49. [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)*
50. [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)*
51. [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*
52. [UnifiedGEC: Integrating Grammatical Error Correction Approaches for Multi-languages with a Unified Framework](https://aclanthology.org/2025.coling-demos.5/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
53. [Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels](https://aclanthology.org/2025.ijcnlp-long.169/) *— 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*
54. [gec-metrics: A Unified Library for Grammatical Error Correction Evaluation](https://aclanthology.org/2025.acl-demo.50/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
55. [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*
56. [Aman Saini; Artem Chernodub; Vipul Raheja; Vivek Kulkarni. Spivavtor: An Instruction Tuned Ukrainian Text Editing Model // UNLP 2024 @ LREC-COLING](https://aclanthology.org/2024.unlp-1.12/) *— 2024 · UNLP 2024 @ LREC-COLING*
57. [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)*
58. [Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory](https://aclanthology.org/2024.bea-1.26/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
59. [Automatic Decomposition of Text Editing Examples into Primitive Edit Operations: Toward Analytic Evaluation of Editing Systems](https://aclanthology.org/2024.lrec-main.170/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
60. [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)*
61. [Can GPT-4 do L2 analytic assessment?](https://aclanthology.org/2024.bea-1.14/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
62. [Challenging Error Correction in Recognised Byzantine Greek](https://aclanthology.org/2024.ml4al-1.1/) *— 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
63. [Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction](https://aclanthology.org/2024.lrec-main.350/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
64. [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)*
65. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
66. [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*
67. [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)*
68. [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*
69. [Evaluation of Really Good Grammatical Error Correction](https://aclanthology.org/2024.lrec-main.584/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
70. [Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation](https://aclanthology.org/2024.bea-1.23/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
71. [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*
72. [GMEG-EXP: A Dataset of Human- and LLM-Generated Explanations of Grammatical and Fluency Edits](https://aclanthology.org/2024.lrec-main.688/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
73. [Gazelle: An Instruction Dataset for Arabic Writing Assistance](https://aclanthology.org/2024.findings-emnlp.941/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
74. [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)*
75. [Harnessing GPT to Study Second Language Learner Essays: Can We Use Perplexity to Determine Linguistic Competence?](https://aclanthology.org/2024.bea-1.34/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
76. [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)*
77. [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*
78. [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*
79. [Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction](https://aclanthology.org/2024.bea-1.6/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
80. [LearnerVoice: A Dataset of Non-Native English Learners” Spontaneous Speech](https://arxiv.org/abs/2407.04280) *— 2024 · arXiv:2407.04280*
81. [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)*
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. [Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study](https://arxiv.org/abs/2409.07476) *— 2024 · arXiv:2409.07476*
86. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
87. [Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian](https://aclanthology.org/2024.lrec-main.1241/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
88. [Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model](https://aclanthology.org/2024.findings-emnlp.17/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
89. [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*
90. [Speak & Improve Challenge 2025: Tasks and Baseline Systems](https://arxiv.org/abs/2412.11985) *— 2024 · arXiv:2412.11985*
91. [Spivavtor: An Instruction Tuned Ukrainian Text Editing Model](https://aclanthology.org/2024.unlp-1.12/) *— 2024 · Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024*
92. [Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models](https://aclanthology.org/2024.bea-1.2/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
93. [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*
94. [To Err Is Human, but Llamas Can Learn It Too](https://aclanthology.org/2024.findings-emnlp.727/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
95. [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)*
96. [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://arxiv.org/abs/2402.17733) *— 2024 · arXiv:2402.17733*
97. [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)*
98. [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)*
99. [Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection](https://aclanthology.org/2024.emnlp-main.176/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
100. [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)*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/cited-by/page/3/)