Grammatical Error Correction
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Benchmarks
CoNLL-2014 Shared Task
BEA-2019 (test)
Falko-MERLIN
JFLEG
UA-GEC
Restricted
Unrestricted
_Restricted_
EstGEC-L2
FCGEC
MuCGEC
WI-LOCNESS
Most implemented
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Multi-head Sequence Tagging Model for Grammatical Error Correction
Revisiting Meta-evaluation for Grammatical Error Correction
Papers
Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models
Korean introduces an additional typographical perturbation level not captured by ordinary character-level edit models: because syllable blocks are internally composed of sub-character units called jamo, keyboard-level er…
Grammatical Error CorrectionCoCoGEC: Counterfactual Generation for Robust Grammatical Error Correction
Grammatical error correction (GEC) systems are usually trained and evaluated on GEC benchmarks, but their performance often drops sharply once the surrounding context is slightly perturbed or extended. This indicates tha…
Grammatical Error CorrectionData AugmentationEncode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction
Grammatical Error Correction (GEC) involves detecting and correcting the wrong usage of grammar. While large language models (LLMs) with in-context learning (ICL) capabilities have shown significant progress on various n…
Grammatical Error CorrectionSemantic SimilarityArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation
We introduce ArabiGEE, the first comprehensive Arabic grammatical error explanation (GEE) taxonomy grounded in explicit error types. Unlike existing GEE approaches that treat explanation generation as free-form text, Ara…
Grammatical Error CorrectionExplanation GenerationHow Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction?
Fine-tuned Large Language Models (LLMs) dominate in Ukrainian grammatical error correction (GEC), while API-accessed LLMs remain nearly untested on minimal-edit benchmarks. We evaluate 11 commercial LLMs from four provid…
Grammatical Error CorrectionRefining Word-Based Grammatical Error Annotation for L2 Korean
Korean grammatical error correction (K-GEC) presents a structural mismatch between word-based evaluation and the morpheme-level locus of many learner errors. Postpositions and verbal endings are bound to lexical hosts, b…
Grammatical Error Correction