| Paper | Code | GLEU | ModelName | ReleaseDate |
|---|---|---|---|---|
| Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction | ✓ Link | 62.1 | VERNet | 2021-05-10 |
| Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction | ✓ Link | 62.0 | Transformer + Pre-train with Pseudo Data + BERT | 2020-05-03 |
| Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation | 61.5 | SMT + BiGRU | 2018-04-16 | |
| Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | ✓ Link | 61.0 | Copy-augmented Model (4 Ensemble +Denoising Autoencoder) | 2019-03-01 |
| Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task | ✓ Link | 59.9 | Transformer | 2018-04-16 |
| A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction | ✓ Link | 57.47 | CNN Seq2Seq | 2018-01-26 |