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 101150 of 415 papers

TitleStatusHype
Correcting Serial Grammatical Errors based on N-grams and Syntax0
Correction Detection and Error Type Selection as an ESL Educational Aid0
A Tree Transducer Model for Grammatical Error Correction0
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction0
An Automatic Error Tagger for German0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors0
Fluency Boost Learning and Inference for Neural Grammatical Error Correction0
Cross-lingual Transfer Learning for Grammatical Error Correction0
CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction0
Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study0
Comparison of Grammatical Error Correction Using Back-Translation Models0
Data Strategies for Low-Resource Grammatical Error Correction0
Data Weighted Training Strategies for Grammatical Error Correction0
Deep Learning Model Deployment in Multiple Cloud Providers: an Exploratory Study Using Low Computing Power Environments0
Denoising based Sequence-to-Sequence Pre-training for Text Generation0
Detecting English Grammatical Errors based on Machine Translation0
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction0
Developing NLP Tools with a New Corpus of Learner Spanish0
Combined Tree Kernel-based classifiers for Assessing Quality of Scientific Text0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation0
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization0
An Annotated Corpus of Picture Stories Retold by Language Learners0
Do Grammatical Error Correction Models Realize Grammatical Generalization?0
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation0
Collecting fluency corrections for spoken learner English0
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction0
Adversarial Grammatical Error Correction0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning0
Focus Is What You Need For Chinese Grammatical Error Correction0
A Beam-Search Decoder for Grammatical Error Correction0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English0
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods0
Chinese Grammatical Error Diagnosis System Based on Hybrid Model0
Chinese Grammatical Error Detection Based on BERT Model0
Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit0
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation0
A Simple but Effective Classification Model for Grammatical Error Correction0
ERRANT: Assessing and Improving Grammatical Error Type Classification0
Chinese Grammatical Correction Using BERT-based Pre-trained Model0
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction0
ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction0
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction0
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction0
Erroneous data generation for Grammatical Error Correction0
Error Correction in ASR using Sequence-to-Sequence Models0
Exploring Human-judged and Automatically-induced Correction Difficulty for Grammatical Error Correction0
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction0
Show:102550
← PrevPage 3 of 9Next →

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