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Grammatical Error Correction On Falko Merlin
Metrics
F0.5
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Llama + 1M BT + gold | 76.75 | To Err Is Human, but Llamas Can Learn It Too | |
| mT5-based multimodal MoE | 76.3 | - | - |
| gT5 xxl | 75.96 | A Simple Recipe for Multilingual Grammatical Error Correction | |
| Transformer | 73.71 | Grammatical Error Correction in Low-Resource Scenarios | |
| Transformer - synthetic pretrain only | 51.41 | Grammatical Error Correction in Low-Resource Scenarios | |
| Multilayer Convolutional Encoder-Decoder | 43.35 | Using Wikipedia Edits in Low Resource Grammatical Error Correction | - |
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