Research Article
Thai Word Segmentation with a Brain-Inspired Sparse Distributed Representations Learning Memory
Table 5
Word segmentation performance with noise.
| Method | Train data | Test data | Precision (%) | Recall (%) | F1-score (%) | IoU | Time (s/word) |
| Deepcut | Best | Noise 1% | 92.99 | 93.50 | 93.25 | 0.87 | 0.002349547 | THSDR | Best | Noise 1% | 97.89 | 98.00 | 97.95 | 0.96 | 0.407567715 | Deepcut | Best | Noise 3% | 88.77 | 89.22 | 88.99 | 0.80 | 0.002298372 | THSDR | Best | Noise 3% | 93.44 | 93.70 | 93.57 | 0.88 | 0.408186889 | Deepcut | Best | Noise 5% | 84.62 | 85.00 | 84.81 | 0.74 | 0.002310482 | THSDR | Best | Noise 5% | 90.50 | 91.02 | 90.76 | 0.83 | 0.408712781 | Deepcut | Best | Noise 10% | 74.96 | 75.03 | 74.99 | 0.60 | 0.002285629 | THSDR | Best | Noise 10% | 79.29 | 82.00 | 80.62 | 0.68 | 0.426231586 |
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