Who cites «The BEA-2019 Shared Task on Grammatical Error Correction»
- A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- Evaluating Small Decoder-Only Language Models for Grammar Correction and Text Simplification — 2026 · arXiv:2601.03874
- Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs — 2026 · arXiv:2603.17171
- FinnGEC: Benchmarking Grammatical Error Correction for Finnish — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation — 2026
- How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction? — 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)
- Instruction-Following LLMs for Grammatical Error Correction: Analyzing Neutral-Anchored Instructional Sensitivity Across Editing Modes — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- K-Merge: Online Continual Merging of Adapters for On-device Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Kateryna Karpo; Artem Chernodub. How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction? // UNLP 2026 — 2026 · UNLP 2026
- 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)
- STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study — 2026 · arXiv:2608.28614
- TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech — 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
- Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty Prediction — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- A Platform for Generating Educational Activities to Teach English as a Second Language — 2025 · arXiv:2504.20251
- APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
- Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction — 2025 · arXiv:2502.15261
- DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction — 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)
- DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Edit-Wise Preference Optimization for Grammatical Error Correction — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction — 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)
- GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Grammatical Error Correction via Sequence Tagging for Russian — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction — 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)
- LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Large Language Models are Good Annotators for Type-aware Data Augmentation in Grammatical Error Correction — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Reliability Crisis of Reference-free Metrics for Grammatical Error Correction — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Targeted Syntactic Evaluation for Grammatical Error Correction — our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- The MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL — 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning
- Unified Automated Essay Scoring and Grammatical Error Correction — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- VisCGEC: Benchmarking the Visual Chinese Grammatical Error Correction — 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)
- A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models — 2024 · Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024)
- Detection-Correction Structure via General Language Model for Grammatical Error Correction — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction — 2024 · arXiv:2407.00924
- Efficient and Interpretable Grammatical Error Correction with Mixture of Experts — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Evaluating the Generalisation of an Artificial Learner — 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning
- GEE! Grammar Error Explanation with Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- Grammatical Error Correction for Code-Switched Sentences by Learners of English — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Improving Grammatical Error Correction by Correction Acceptability Discrimination — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Improving Grammatical Error Correction via Contextual Data Augmentation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- LLM-based Code-Switched Text Generation for Grammatical Error Correction — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Large language models for education: A survey and outlook — 2024
- LongForm: Effective Instruction Tuning with Reverse Instructions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models — 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)
- Prompting open-source and commercial language models for grammatical error correction of English learner text — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Revisiting Meta-evaluation for Grammatical Error Correction — 2024
- Semantic Error Prediction: Estimating Word Production Complexity — 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning
- Small Language Models Improve Giants by Rewriting Their Outputs — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Speak & Improve Challenge 2025: Tasks and Baseline Systems — 2024 · arXiv:2412.11985
- Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback — 2024 · arXiv:2412.11986
- Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- To Ask LLMs about English Grammaticality, Prompt Them in a Different Language — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond — 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)
- Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Weaver: Foundation Models for Creative Writing — 2024 · arXiv:2401.17268
- mEdIT: Multilingual Text Editing via Instruction Tuning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- n-gram F-score for Evaluating Grammatical Error Correction — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- A Closer Look at k-Nearest Neighbors Grammatical Error Correction — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
- A distantly supervised Grammatical Error Detection/Correction system for Swedish — 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning
- Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- An Extended Sequence Tagging Vocabulary for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction — 2023 · arXiv:2303.14342
- Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction — 2023 · Proceedings of ArabicNLP 2023
- Bidirectional Transformer Reranker for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark — 2023 · arXiv:2303.13648
- CoEdIT: Text Editing by Task-Specific Instruction Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Comparative Study of Models Trained on Synthetic Data for Ukrainian Grammatical Error Correction — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
- Comprehensive Evaluation of Translation Error Correction Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
- ELQA: A Corpus of Metalinguistic Questions and Answers about English — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- EliCoDe at MultiGED2023: fine-tuning XLM-RoBERTa for multilingual grammatical error detection — 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning
- Enhancing Grammatical Error Correction Systems with Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Experiments on Automatic Error Detection and Correction for Uruguayan Learners of English — 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning
- Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
- Focal Training and Tagger Decouple for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- GECTurk: Grammatical Error Correction and Detection Dataset for Turkish — 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
- Gender-Inclusive Grammatical Error Correction through Augmentation — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
- Grammatical Error Correction via Mixed-Grained Weighted Training — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Grammatical Error Correction: A Survey of the State of the Art — 2023
- Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Improving Seq2Seq Grammatical Error Correction via Decoding Interventions — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation — 2023 · arXiv:2304.01746
- LET: Leveraging Error Type Information for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
- Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
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