Thai Word Tokenization On Best 2010
Metrics
F1-Score
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1-Score |
|---|---|
| attacut-a-fast-and-accurate-neural-thai-word | 0.9839 |
| character-based-thai-word-segmentation-with | 0.9899 |
| domain-adaptation-of-thai-word-segmentation | 0.9812 |
| thailmcut-unsupervised-pretraining-for-thai | 0.9878 |
| latte-lattice-attentive-encoding-for | 0.9907 |