Lexical Normalization On Lexnorm
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| TextNorm | 83.94 | Adapting Sequence to Sequence models for Text Normalization in Social Media | |
| MoNoise | 87.63 | MoNoise: Modeling Noise Using a Modular Normalization System | |
| Syllable based | 86.08 | - | - |
| unLOL | 82.06 | - | - |
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