SOTAVerified

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

Showing 201250 of 415 papers

TitleStatusHype
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation0
Chinese Grammatical Error Detection Based on BERT Model0
Gender-Aware Reinflection using Linguistically Enhanced Neural ModelsCode0
Cross-lingual Transfer Learning for Grammatical Error Correction0
SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error CorrectionCode0
Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation0
Taking the Correction Difficulty into Account in Grammatical Error Correction EvaluationCode0
Grammatical error detection in transcriptions of spoken English0
Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction0
A Crash Course in Automatic Grammatical Error Correction0
Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model0
Generating Inflectional Errors for Grammatical Error Correction in Hindi0
Ensemble Distillation Approaches for Grammatical Error Correction0
Chinese Grammatical Correction Using BERT-based Pre-trained Model0
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples0
Classifying Syntactic Errors in Learner LanguageCode0
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses0
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction0
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction0
Adversarial Grammatical Error Correction0
面向汉语作为第二语言学习的个性化语法纠错(Personalizing Grammatical Error Correction for Chinese as a Second Language)0
Seq2Edits: Sequence Transduction Using Span-level Edit OperationsCode0
Data Weighted Training Strategies for Grammatical Error Correction0
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction0
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner's Error Tendency0
Semantic Parsing for English as a Second Language0
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L10
GECToR -- Grammatical Error Correction: Tag, Not RewriteCode1
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder ModelCode1
Using Context in Neural Machine Translation Training Objectives0
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error CorrectionCode1
Developing NLP Tools with a New Corpus of Learner Spanish0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language0
Improving Readability for Automatic Speech Recognition Transcription0
Pseudo-Bidirectional Decoding for Local Sequence Transduction0
Towards Minimal Supervision BERT-based Grammar Error Correction0
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical ErrorsCode0
Improving Grammatical Error Correction with Machine Translation PairsCode0
Minimally-Augmented Grammatical Error Correction0
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing AssistanceCode0
Parallel Iterative Edit Models for Local Sequence TransductionCode0
Grammatical Error Correction in Low-Resource ScenariosCode0
Controllable Data Synthesis Method for Grammatical Error Correction0
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction0
TEASPN: Framework and Protocol for Integrated Writing Assistance EnvironmentsCode0
An Empirical Study of Incorporating Pseudo Data into Grammatical Error CorrectionCode0
Denoising based Sequence-to-Sequence Pre-training for Text Generation0
Noisy Channel for Low Resource Grammatical Error Correction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ensembles of best 7 models + GRECO + GTP-rerankF0.572.8Unverified
2Majority-voting ensemble on best 7 modelsF0.571.8Unverified
3GRECO (voting+ESC)F0.571.12Unverified
4GEC-DI (LM+GED)F0.569.6Unverified
5Unsupervised GEC + cLang8F0.569.6Unverified
6ESCF0.569.51Unverified
7T5F0.568.87Unverified
8MoECEF0.567.79Unverified
9SynGECF0.567.6Unverified
10Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet)F0.566.5Unverified
#ModelMetricClaimedVerifiedStatus
1Majority-voting ensemble on best 7 modelsF0.581.4Unverified
2GRECO (voting+ESC)F0.580.84Unverified
3ESCF0.579.9Unverified
4RedPenNetF0.577.6Unverified
5clang_large_ft2-gectorF0.577.1Unverified
6Unsupervised GEC + cLang8F0.576.5Unverified
7DeBERTa + RoBERTa + XLNetF0.576.05Unverified
8MoECEF0.574.07Unverified
9Sequence tagging + token-level transformations + two-stage fine-tuning (+RoBERTa, XLNet)F0.573.7Unverified
10BEA CombinationF0.573.2Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.576.75Unverified
2mT5-based multimodal MoEF0.576.3Unverified
3gT5 xxlF0.575.96Unverified
4TransformerF0.573.71Unverified
5Transformer - synthetic pretrain onlyF0.551.41Unverified
6Multilayer Convolutional Encoder-DecoderF0.543.35Unverified
#ModelMetricClaimedVerifiedStatus
1VERNetGLEU62.1Unverified
2Transformer + Pre-train with Pseudo Data + BERTGLEU62Unverified
3SMT + BiGRUGLEU61.5Unverified
4Copy-augmented Model (4 Ensemble +Denoising Autoencoder)GLEU61Unverified
5TransformerGLEU59.9Unverified
6CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.574.09Unverified
2mBART-based model with synthetic dataF0.568.17Unverified
3mT5 large + 10M synthF0.568.09Unverified
4RedPenNetF0.567.71Unverified
5ChatGPT (zero-shot)F0.527.4Unverified
#ModelMetricClaimedVerifiedStatus
1GRECO (vote+ESC)F0.585.21Unverified
2SMT + BiGRUF0.572.04Unverified
3CNN Seq2SeqF0.570.14Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Quality EstimationF0.556.52Unverified
2TransformerF0.555.8Unverified
3+ BIFI with no criticF0.518.7Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Fluency Boost and inferenceGLEU62.37Unverified
2CNN Seq2Seq + Fluency BoostF0.561.34Unverified
3+ BIFI (ours)F0.542.4Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerGLEU59.9Unverified
2CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.569.97Unverified
#ModelMetricClaimedVerifiedStatus
1STG-Jointexact match34.1Unverified
#ModelMetricClaimedVerifiedStatus
1GEC-DI (LM+GED)F0.548.61Unverified
#ModelMetricClaimedVerifiedStatus
1RedPenNetF0.577.6Unverified