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Grammatical Error Correction

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 75

Grammatical Error Correction (GEC) is the task of correcting different kinds of errors in text such as spelling, punctuation, grammatical, and word choice errors.

GEC is typically formulated as a sentence correction task. A GEC system takes a potentially erroneous sentence as input and is expected to transform it to its corrected version. See the example given below:

Input (Erroneous)	Output (Corrected)
She see Tom is catched by policeman in park at last night.	She saw Tom caught by a policeman in the park last night.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/grammarly/gector

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GECToR -- Grammatical Error Correction: Tag, Not Rewrite

https://github.com/grammarly/gender-inclusive-gec

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Gender-Inclusive Grammatical Error Correction through Augmentation

https://github.com/grammarly/pillars-of-gec

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Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models

https://github.com/grammarly/ua-gec

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UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

https://github.com/grammatical/neural-naacl2018

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Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

https://github.com/hillzhang1999/gec_error_template

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Mining Error Templates for Grammatical Error Correction

https://github.com/hillzhang1999/mucgec

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MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

https://github.com/hillzhang1999/nasgec

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NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

https://github.com/hillzhang1999/robustgec

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RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation

https://github.com/hillzhang1999/syngec

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SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser

https://github.com/hydududu/flacgec

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FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation

https://github.com/jamydon/plm-based-cgec-model-ensemble

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Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?

https://github.com/jxtse/GEC-Metrics-DSGram

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DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models

https://github.com/kakaobrain/helo_word

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A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning

https://github.com/kanekomasahiro/bert-gec

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Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction

https://github.com/kanekomasahiro/eb-gec

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Interpretability for Language Learners Using Example-Based Grammatical Error Correction

https://github.com/kanekomasahiro/gec-explanation

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Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction

https://github.com/keisks/jfleg

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JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

https://github.com/kelvinchanwh/csw-gector

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Grammatical Error Correction for Code-Switched Sentences by Learners of English

https://github.com/laniqo-public/grammar-data-mtsummit25

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Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models

https://github.com/lipiji/TtT

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Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction

https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications

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A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

https://github.com/lorafei/explainable_gec

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Enhancing Grammatical Error Correction Systems with Explanations

https://github.com/lukasstankevicius/towards-lithuanian-grammatical-error-correction

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Towards Lithuanian grammatical error correction

https://github.com/makstarnavskyi/gector-large

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Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

https://github.com/marekrei/sequence-labeler

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Semi-supervised Multitask Learning for Sequence Labeling

https://github.com/masr2000/clg-cgec

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Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

https://github.com/mhagiwara/github-typo-corpus

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GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

https://github.com/michiyasunaga/LM-Critic

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LM-Critic: Language Models for Unsupervised Grammatical Error Correction

https://github.com/microsoft/unilm

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EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation

https://github.com/mideind/byte-gec

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Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora

https://github.com/naist-nlp/gec-attribute

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Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction

https://github.com/nusnlp/gec_ip

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System Combination for Grammatical Error Correction Based on Integer Programming

https://github.com/nusnlp/greco

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System Combination via Quality Estimation for Grammatical Error Correction

https://github.com/nusnlp/mlconvgec2018

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A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

https://github.com/nusnlp/moece

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Efficient and Interpretable Grammatical Error Correction with Mixture of Experts

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