Grammatical Error Correction

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.|

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 415 papers

Title	Date	Tasks	Status	Hype	Score
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model	May 24, 2020	DecoderGrammatical Error Correction	CodeCode Available	1	5
YACLC: A Chinese Learner Corpus with Multidimensional Annotation	Dec 30, 2021	Grammatical Error CorrectionLanguage Acquisition	CodeCode Available	1	5
Improving Grammatical Error Correction via Contextual Data Augmentation	Jun 25, 2024	Data AugmentationGrammatical Error Correction	CodeCode Available	0	5
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task	Apr 16, 2018	Domain AdaptationGrammatical Error Correction	CodeCode Available	0	5
Improving Grammatical Error Correction with Machine Translation Pairs	Nov 7, 2019	Grammatical Error CorrectionLanguage Modeling	CodeCode Available	0	5
IMPARA: Impact-Based Metric for GEC Using Parallel Data	Oct 1, 2022	Grammatical Error Correction	CodeCode Available	0	5
Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction	Dec 17, 2024	AttributeGrammatical Error Correction	CodeCode Available	0	5
Automatic Metric Validation for Grammatical Error Correction	Apr 30, 2018	Grammatical Error Correction	CodeCode Available	0	5
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models	Nov 1, 2021	DecoderGrammatical Error Correction	CodeCode Available	0	5
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting	Oct 20, 2023	Adversarial AttackGrammatical Error Correction	CodeCode Available	0	5
Bidirectional Transformer Reranker for Grammatical Error Correction	May 22, 2023	DecoderGrammatical Error Correction	CodeCode Available	0	5
A Reassessment of Reference-Based Grammatical Error Correction Metrics	Aug 1, 2018	Grammatical Error CorrectionMachine Translation	CodeCode Available	0	5
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models	May 28, 2018	DecoderGrammatical Error Correction	CodeCode Available	0	5
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data	Mar 1, 2019	DenoisingGrammatical Error Correction	CodeCode Available	0	5
Grammatical Error Correction for Code-Switched Sentences by Learners of English	Apr 18, 2024	Grammatical Error Correction	CodeCode Available	0	5
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems	Apr 5, 2019	ClassificationGeneral Classification	CodeCode Available	0	5
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors	Nov 28, 2019	Grammatical Error CorrectionSpelling Correction	CodeCode Available	0	5
Grammatical Error Correction in Low-Resource Scenarios	Oct 1, 2019	Grammatical Error CorrectionMachine Translation	CodeCode Available	0	5
GEE! Grammar Error Explanation with Large Language Models	Nov 16, 2023	Grammatical Error CorrectionSentence	CodeCode Available	0	5
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning	Jul 2, 2019	Grammatical Error CorrectionTransfer Learning	CodeCode Available	0	5
Gender-Aware Reinflection using Linguistically Enhanced Neural Models	Dec 1, 2020	DecoderGrammatical Error Correction	CodeCode Available	0	5
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction	Jul 1, 2017	Annotated Code SearchGrammatical Error Correction	CodeCode Available	0	5
Gender-Inclusive Grammatical Error Correction through Augmentation	Jun 12, 2023	Data AugmentationGrammatical Error Correction	CodeCode Available	0	5
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains	Nov 1, 2021	Contrastive LearningGrammatical Error Correction	CodeCode Available	0	5
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction	Sep 2, 2019	Grammatical Error Correction	CodeCode Available	0	5

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All datasets CoNLL-2014 Shared Task BEA-2019 (test)Falko-MERLIN JFLEG UA-GEC CoNLL-2014 Shared Task (10 annotations)Restricted Unrestricted _Restricted_EstGEC-L2 FCGEC MuCGEC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Ensembles of best 7 models + GRECO + GTP-rerank	F0.5	72.8	—	Unverified
2	Majority-voting ensemble on best 7 models	F0.5	71.8	—	Unverified
3	GRECO (voting+ESC)	F0.5	71.12	—	Unverified
4	GEC-DI (LM+GED)	F0.5	69.6	—	Unverified
5	Unsupervised GEC + cLang8	F0.5	69.6	—	Unverified
6	ESC	F0.5	69.51	—	Unverified
7	T5	F0.5	68.87	—	Unverified
8	MoECE	F0.5	67.79	—	Unverified
9	SynGEC	F0.5	67.6	—	Unverified
10	Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet)	F0.5	66.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Majority-voting ensemble on best 7 models	F0.5	81.4	—	Unverified
2	GRECO (voting+ESC)	F0.5	80.84	—	Unverified
3	ESC	F0.5	79.9	—	Unverified
4	RedPenNet	F0.5	77.6	—	Unverified
5	clang_large_ft2-gector	F0.5	77.1	—	Unverified
6	Unsupervised GEC + cLang8	F0.5	76.5	—	Unverified
7	DeBERTa + RoBERTa + XLNet	F0.5	76.05	—	Unverified
8	MoECE	F0.5	74.07	—	Unverified
9	Sequence tagging + token-level transformations + two-stage fine-tuning (+RoBERTa, XLNet)	F0.5	73.7	—	Unverified
10	BEA Combination	F0.5	73.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Llama + 1M BT + gold	F0.5	76.75	—	Unverified
2	mT5-based multimodal MoE	F0.5	76.3	—	Unverified
3	gT5 xxl	F0.5	75.96	—	Unverified
4	Transformer	F0.5	73.71	—	Unverified
5	Transformer - synthetic pretrain only	F0.5	51.41	—	Unverified
6	Multilayer Convolutional Encoder-Decoder	F0.5	43.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VERNet	GLEU	62.1	—	Unverified
2	Transformer + Pre-train with Pseudo Data + BERT	GLEU	62	—	Unverified
3	SMT + BiGRU	GLEU	61.5	—	Unverified
4	Copy-augmented Model (4 Ensemble +Denoising Autoencoder)	GLEU	61	—	Unverified
5	Transformer	GLEU	59.9	—	Unverified
6	CNN Seq2Seq	GLEU	57.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Llama + 1M BT + gold	F0.5	74.09	—	Unverified
2	mBART-based model with synthetic data	F0.5	68.17	—	Unverified
3	mT5 large + 10M synth	F0.5	68.09	—	Unverified
4	RedPenNet	F0.5	67.71	—	Unverified
5	ChatGPT (zero-shot)	F0.5	27.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRECO (vote+ESC)	F0.5	85.21	—	Unverified
2	SMT + BiGRU	F0.5	72.04	—	Unverified
3	CNN Seq2Seq	F0.5	70.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN Seq2Seq + Quality Estimation	F0.5	56.52	—	Unverified
2	Transformer	F0.5	55.8	—	Unverified
3	+ BIFI with no critic	F0.5	18.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN Seq2Seq + Fluency Boost and inference	GLEU	62.37	—	Unverified
2	CNN Seq2Seq + Fluency Boost	F0.5	61.34	—	Unverified
3	+ BIFI (ours)	F0.5	42.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Transformer	GLEU	59.9	—	Unverified
2	CNN Seq2Seq	GLEU	57.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Llama + 1M BT + gold	F0.5	69.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STG-Joint	exact match	34.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GEC-DI (LM+GED)	F0.5	48.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RedPenNet	F0.5	77.6	—	Unverified