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 276–300 of 415 papers

Title	Date	Tasks	Status
A Chinese Writing Correction System for Learning Chinese as a Foreign Language	Aug 1, 2018	Grammatical Error CorrectionMachine Translation	—Unverified
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction	Jul 1, 2020	Grammatical Error CorrectionMachine Translation	—Unverified
A Crash Course in Automatic Grammatical Error Correction	Dec 1, 2020	Grammatical Error Correction	—Unverified
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models	Nov 1, 2016	Grammatical Error CorrectionMachine Translation	—Unverified
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization	Dec 1, 2015	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Adversarial Grammatical Error Correction	Oct 6, 2020	Grammatical Error CorrectionMachine Translation	—Unverified
A Hybrid Model For Grammatical Error Correction	Aug 1, 2013	Grammatical Error CorrectionMeta-Learning	—Unverified
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction	Jul 1, 2018	Grammatical Error CorrectionTAG	—Unverified
A Language Model for Grammatical Error Correction in L2 Russian	Jul 4, 2023	Grammatical Error CorrectionLanguage Modeling	—Unverified
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus	Aug 1, 2019	Grammatical Error CorrectionMachine Translation	—Unverified
A Meta Learning Approach to Grammatical Error Correction	Jul 1, 2012	Grammatical Error CorrectionMeta-Learning	—Unverified
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English	Dec 1, 2017	ChunkingGrammatical Error Correction	—Unverified
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction	Mar 25, 2023	Grammatical Error CorrectionSentence	—Unverified
An Annotated Corpus of Picture Stories Retold by Language Learners	Aug 1, 2018	AttributeGrammatical Error Correction	—Unverified
An Automatic Error Tagger for German	Nov 1, 2018	Grammatical Error Correction	—Unverified
A Nested Attention Neural Hybrid Model for Grammatical Error Correction	Jul 7, 2017	Grammatical Error CorrectionMachine Translation	—Unverified
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction	Apr 30, 2022	Chinese Word SegmentationGrammatical Error Correction	—Unverified
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task	Oct 1, 2014	Grammatical Error CorrectionLanguage Modelling	—Unverified
A POS Tagging Model Adapted to Learner English	Nov 1, 2018	Grammatical Error Correctionmodel	—Unverified
A Report on the 2017 Native Language Identification Shared Task	Sep 1, 2017	Grammatical Error CorrectionLanguage Acquisition	—Unverified
A Report on the Automatic Evaluation of Scientific Writing Shared Task	Jun 1, 2016	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Artificial Error Generation with Fluency Filtering	Aug 1, 2019	Grammatical Error Correction	—Unverified
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction	Oct 7, 2020	DenoisingGrammatical Error Correction	—Unverified
A Simple but Effective Classification Model for Grammatical Error Correction	Jul 2, 2018	ClassificationGeneral Classification	—Unverified
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction	Nov 5, 2021	Data AugmentationGrammatical Error Correction	—Unverified

Show:10 25 50

← PrevPage 12 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