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 151200 of 415 papers

TitleStatusHype
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction0
Proficiency Matters Quality Estimation in Grammatical Error Correction0
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction0
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction0
Czech Grammar Error Correction with a Large and Diverse Corpus0
YACLC: A Chinese Learner Corpus with Multidimensional AnnotationCode1
ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error CorrectionCode0
Robust and Effective Grammatical Error Correction with Simple Cycle Self-Augmenting0
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction0
Exploring Human-judged and Automatically-induced Correction Difficulty for Grammatical Error Correction0
Improved grammatical error correction by ranking elementary editsCode1
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction0
System Combination for Grammatical Error Correction Based on Integer ProgrammingCode0
Multi-Class Grammatical Error Detection for Correction: A Tale of Two SystemsCode0
MiSS: An Assistant for Multi-Style Simultaneous Translation0
Is this the end of the gold standard? A straightforward reference-less grammatical error correction metricCode0
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder modelsCode0
Grammatical Error Correction with Contrastive Learning in Low Error Density DomainsCode0
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction0
Diversity-Driven Combination for Grammatical Error CorrectionCode0
Understanding Model Robustness to User-generated Noisy TextsCode0
Pseudo-Error Generation for Grammatical Error Correction Based on Learner’s First Language0
Automatic Error Type Annotation for ArabicCode1
LM-Critic: Language Models for Unsupervised Grammatical Error CorrectionCode1
New Dataset and Strong Baselines for the Grammatical Error Correction of Russian0
A Study of Morphological Robustness of Neural Machine TranslationCode0
基于字词粒度噪声数据增强的中文语法纠错(Chinese Grammatical Error Correction enhanced by Data Augmentation from Word and Character Levels)0
Instantaneous Grammatical Error Correction with Shallow Aggressive DecodingCode1
A Simple Recipe for Multilingual Grammatical Error CorrectionCode1
Do Grammatical Error Correction Models Realize Grammatical Generalization?0
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error CorrectionCode1
Negative language transfer in learner English: A new datasetCode0
Grammatical Error Correction as GAN-like Sequence Labeling0
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption ModelsCode1
Neural Predictive Text for Grammatical Error Prevention0
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error CorrectionCode1
Leveraging Task Information in Grammatical Error Correction for Short Answer Assessment through Context-based Reranking0
Grammatical Error Generation Based on Translated Fragments0
Comparison of Grammatical Error Correction Using Back-Translation Models0
Document-level grammatical error correctionCode1
Data Strategies for Low-Resource Grammatical Error Correction0
How Good (really) are Grammatical Error Correction Systems?0
UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian LanguageCode1
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning0
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence LearningCode1
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis0
Non-Autoregressive Grammatical Error Correction Toward a Writing Support System0
TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 20200
Chinese Grammatical Error Detection Based on BERT Model0
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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