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 251–275 of 415 papers

Title	Date	Tasks	Status
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction	Sep 1, 2017	Grammatical Error CorrectionMachine Translation	—Unverified
The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings	Dec 1, 2012	Grammatical Error CorrectionMachine Translation	—Unverified
The Illinois-Columbia System in the CoNLL-2014 Shared Task	Jun 1, 2014	Grammatical Error Correction	—Unverified
The LAIX Systems in the BEA-2019 GEC Shared Task	Aug 1, 2019	ClassificationGeneral Classification	—Unverified
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction	Jul 21, 2019	Grammatical Error Correction	—Unverified
The Write & Improve Corpus 2024: Error-annotated and CEFR-labelled essays by learners of English	Oct 23, 2024	DescriptiveGrammatical Error Correction	—Unverified
Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction	Nov 7, 2024	Data AugmentationGrammatical Error Correction	—Unverified
TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020	Dec 1, 2020	DecoderGrammatical Error Correction	—Unverified
TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track	Aug 1, 2019	Grammatical Error CorrectionRe-Ranking	—Unverified
Toward More Precision in Correction of Grammatical Errors	Aug 1, 2013	Grammatical Error Correction	—Unverified
Towards End-to-End Spoken Grammatical Error Correction	Nov 9, 2023	Grammatical Error Correctionspeech-recognition	—Unverified
Towards Minimal Supervision BERT-based Grammar Error Correction	Jan 10, 2020	Grammatical Error CorrectionLanguage Modeling	—Unverified
Towards Universal Dependencies for Learner Chinese	May 1, 2017	Grammatical Error Correction	—Unverified
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus	Jul 23, 2019	Grammatical Error CorrectionMachine Translation	—Unverified
Treelet Probabilities for HPSG Parsing and Error Correction	May 1, 2014	Grammatical Error CorrectionSentence	—Unverified
Tuning a Grammar Correction System for Increased Precision	Jun 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified
UdS at CoNLL 2013 Shared Task	Aug 1, 2013	Grammatical Error Correction	—Unverified
UM-Checker: A Hybrid System for English Grammatical Error Correction	Aug 1, 2013	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models	Apr 1, 2022	Grammatical Error CorrectionMachine Translation	—Unverified
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction	Mar 28, 2024	Grammatical Error CorrectionIn-Context Learning	—Unverified
Using Context in Neural Machine Translation Training Objectives	May 4, 2020	Grammatical Error CorrectionMachine Translation	—Unverified
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection	Jun 1, 2016	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Weakly Supervised Grammatical Error Correction using Iterative Decoding	Oct 31, 2018	Grammatical Error Correction	—Unverified
LFG-based Features for Noun Number and Article Grammatical Errors	Aug 1, 2013	Feature EngineeringGrammatical Error Correction	—Unverified
A BERT-based Unsupervised Grammatical Error Correction Framework	Mar 30, 2023	Grammatical Error CorrectionLanguage Modeling	—Unverified

Show:10 25 50

← PrevPage 11 of 17Next →

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