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 126–150 of 415 papers

Title	Date	Tasks	Status
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation	Apr 16, 2022	DecoderGrammatical Error Correction	—Unverified
Factored Statistical Machine Translation for Grammatical Error Correction	Jun 1, 2014	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Collecting fluency corrections for spoken learner English	Sep 1, 2017	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction	Mar 25, 2023	Grammatical Error CorrectionSentence	—Unverified
Adversarial Grammatical Error Correction	Oct 6, 2020	Grammatical Error CorrectionMachine Translation	—Unverified
Fluency Boost Learning and Inference for Neural Grammatical Error Correction	Jul 1, 2018	Grammatical Error CorrectionSentence	—Unverified
A Beam-Search Decoder for Grammatical Error Correction	Jul 1, 2012	DecoderGrammatical Error Correction	—Unverified
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English	Dec 1, 2017	ChunkingGrammatical Error Correction	—Unverified
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction	Jun 1, 2016	Grammatical Error CorrectionMachine Translation	—Unverified
Chinese Grammatical Error Diagnosis System Based on Hybrid Model	Jul 1, 2015	Grammatical Error CorrectionLanguage Acquisition	—Unverified
Chinese Grammatical Error Detection Based on BERT Model	Dec 1, 2020	Binary ClassificationGrammatical Error Correction	—Unverified
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods	May 29, 2023	Grammatical Error Correction	—Unverified
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit	May 1, 2018	Argument MiningGrammatical Error Correction	—Unverified
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation	Dec 1, 2020	Data AugmentationGrammatical Error Correction	—Unverified
A Simple but Effective Classification Model for Grammatical Error Correction	Jul 2, 2018	ClassificationGeneral Classification	—Unverified
ERRANT: Assessing and Improving Grammatical Error Type Classification	Dec 1, 2020	ClassificationGrammatical Error Correction	—Unverified
Chinese Grammatical Correction Using BERT-based Pre-trained Model	Nov 4, 2020	DecoderGrammatical Error Correction	—Unverified
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction	Jan 16, 2022	ChatbotGrammatical Error Correction	—Unverified
ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction	Jun 5, 2024	Grammatical Error CorrectionSynthetic Data Generation	—Unverified
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction	Oct 7, 2020	DenoisingGrammatical Error Correction	—Unverified
EXCGEC: A Benchmark of Edit-wise Explainable Chinese Grammatical Error Correction	Jul 1, 2024	Grammatical Error Correction	—Unverified
Erroneous data generation for Grammatical Error Correction	Aug 1, 2019	Grammatical Error Correction	—Unverified
Error Correction in ASR using Sequence-to-Sequence Models	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation	Jun 1, 2012	Grammatical Error CorrectionGrammatical Error Detection	—Unverified
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction	Nov 16, 2021	Grammatical Error Correction	—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