Papers Grammatical Error Correction
“Grammatical Error Correction” 태그가 달린 논문 450편 · 필터 해제
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 CorrectionEdit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction
Grammatical error correction using large language models often suffers from the over-correction issue. To mitigate this, we propose a training-free inference method that performs edit-level majority voting over multiple …
Grammatical Error CorrectionThe Impact of Editorial Intervention on Detecting Native Language Traces
Native Language Identification (NLI) is the task of determining an author's native language (L1) from their non-native writing. With the advent of human-AI co-authorship, learner texts are routinely corrected and rewritt…
Native Language IdentificationGrammatical Error CorrectionMulti-Dimensional Evaluation of LLMs for Grammatical Error Correction
Automated assistants for Grammatical Error Correction are now embedded in educational platforms serving millions of learners, yet three critical gaps remain in this domain: (1) latest-generation Large Language Models (LL…
Grammatical Error CorrectionNeural Grammatical Error Correction for Romanian
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and rules. In this paper we introduce a firs…
Grammatical Error CorrectionRoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
The importance of clear and correct text in legal documents cannot be understated, and, consequently, a grammatical error correction tool meant to assist a professional in the law must have the ability to understand the …
Grammatical Error CorrectionGrammatical Error DetectionCSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
Large Language Model (LLM) based Chinese Grammatical Error Correction (CGEC) systems face two critical challenges: general-purpose models lack specialized linguistic priors for subtle grammatical distinctions, and Superv…
Grammatical Error CorrectionReinforcement LearningScoring Edit Impact in Grammatical Error Correction via Embedded Association Graphs
A Grammatical Error Correction (GEC) system produces a sequence of edits to correct an erroneous sentence. The quality of these edits is typically evaluated against human annotations. However, a sentence may admit multip…
Grammatical Error CorrectionListen, Correct, and Feed Back: Spoken Pedagogical Feedback Generation
Grammatical error correction (GEC) and explanation (GEE) have made rapid progress, but real teaching scenarios also require \emph{learner-friendly pedagogical feedback} that is actionable, level-appropriate, and encourag…
Grammatical Error CorrectionExploiting the English Grammar Profile for L2 grammatical analysis with LLMs
Evaluating the grammatical competence of second language (L2) learners is essential both for providing targeted feedback and for assessing proficiency. To achieve this, we propose a novel framework leveraging the English…
Grammatical Error CorrectionGrammatical Error Correction Evaluation by Optimally Transporting Edit Representation
Automatic evaluation in grammatical error correction (GEC) is crucial for selecting the best-performing systems. Currently, reference-based metrics are a popular choice, which basically measure the similarity between hyp…
Grammatical Error CorrectionAutomatic Construction of Chinese Verb Collostruction Database
This paper proposes a fully unsupervised approach to the construction of verb collostruction database for Chinese language, aimed at complementing LLMs by providing explicit and interpretable rules for application scenar…
Grammatical Error CorrectionMinimal-Edit Instruction Tuning for Low-Resource Indic GEC
Grammatical error correction for Indic languages faces limited supervision, diverse scripts, and rich morphology. We propose an augmentation-free setup that uses instruction-tuned large language models and conservative d…
parameter-efficient fine-tuningGrammatical Error Correction"When Data is Scarce, Prompt Smarter"... Approaches to Grammatical Error Correction in Low-Resource Settings
Grammatical error correction (GEC) is an important task in Natural Language Processing that aims to automatically detect and correct grammatical mistakes in text. While recent advances in transformer-based models and lar…
Grammatical Error CorrectionIndicGEC: Powerful Models, or a Measurement Mirage?
In this paper, we report the results of the TeamNRC's participation in the BHASHA-Task 1 Grammatical Error Correction shared task https://github.com/BHASHA-Workshop/IndicGEC2025/ for 5 Indian languages. Our approach, foc…
Grammatical Error Correction