Lexical Normalization on LexNorm
Accuracy
- 2013-10-01 — unLOL: Accuracy 82.06
- 2015-07-01 — Syllable based: Accuracy 86.08
- 2017-10-10 — MoNoise: Accuracy 87.63
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | MoNoise | 87.63 | MoNoise: Modeling Noise Using a Modular Normalization System | wesselreijngoud/masterthesis2019 · robvanderg/monoise | 2017 |
| 2 | Syllable based | 86.08 | Tweet Normalization with Syllables | 2015 | |
| 3 | TextNorm | 83.94 | Adapting Sequence to Sequence models for Text Normalization in Social Media | Isminoula/TextNormSeq2Seq | 2019 |
| 4 | unLOL | 82.06 | A Log-Linear Model for Unsupervised Text Normalization | 2013 |