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

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Showing 351–375 of 415 papers

Title	Date	Tasks	Status
Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality	Jan 1, 2016	Grammatical Error CorrectionSentence	CodeCode Available
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization	Dec 1, 2015	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Human Evaluation of Grammatical Error Correction Systems	Sep 1, 2015	Grammatical Error CorrectionMachine Translation	—Unverified
Conversational Knowledge Teaching Agent that uses a Knowledge Base	Sep 1, 2015	Grammatical Error CorrectionKnowledge Base Question Answering	—Unverified
How Far are We from Fully Automatic High Quality Grammatical Error Correction?	Jul 1, 2015	Grammatical Error Correction	—Unverified
Ground Truth for Grammatical Error Correction Metrics	Jul 1, 2015	Grammatical Error CorrectionMachine Translation	—Unverified
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation	Jul 1, 2015	Grammatical Error CorrectionMachine Translation	—Unverified
Overview of the NLP-TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis	Jul 1, 2015	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Automatic Detection of Sentence Fragments	Jul 1, 2015	Grammatical Error CorrectionLanguage Identification	—Unverified
Grammatical Error Correction Considering Multi-word Expressions	Jul 1, 2015	Grammatical Error CorrectionMachine Translation	—Unverified
Chinese Grammatical Error Diagnosis System Based on Hybrid Model	Jul 1, 2015	Grammatical Error CorrectionLanguage Acquisition	—Unverified
Towards a standard evaluation method for grammatical error detection and correction	May 1, 2015	Grammatical Error CorrectionGrammatical Error Detection	CodeCode Available
Book Reviews: Automated Grammatical Error Detection for Language Learners, Second Edition by Claudia Leacock, Martin Chodorow, Michael Gamon and Joel Tetreault	Mar 1, 2015	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Automatic Detection of Comma Splices	Dec 1, 2014	Grammatical Error Correction	—Unverified
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task	Oct 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified
The Columbia System in the QALB-2014 Shared Task on Arabic Error Correction	Oct 1, 2014	Grammatical Error Correction	—Unverified
System Combination for Grammatical Error Correction	Oct 1, 2014	Grammatical Error CorrectionMachine Translation	—Unverified
Automated Grammatical Error Correction for Language Learners	Aug 1, 2014	Grammatical Error CorrectionLanguage Acquisition	—Unverified
The Illinois-Columbia System in the CoNLL-2014 Shared Task	Jun 1, 2014	Grammatical Error Correction	—Unverified
CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora	Jun 1, 2014	Grammatical Error CorrectionLanguage Modeling	—Unverified
Factored Statistical Machine Translation for Grammatical Error Correction	Jun 1, 2014	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Tuning a Grammar Correction System for Increased Precision	Jun 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified
POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task	Jun 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified
RACAI GEC -- A hybrid approach to Grammatical Error Correction	Jun 1, 2014	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation	Jun 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified

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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