Research Article
Research and Implementation of English Grammar Check and Error Correction Based on Deep Learning
Table 9
Performance of each model on the test set.
| Model | Accuracy rate (%) | Precision rate (%) | Recall rate (%) | F1 score (%) |
| RBF core support vector machine | 85.00 | 93.06 | 76.13 | 83.75 | Bayesian network | 51.74 | 51.29 | 97.83 | 67.30 | Decision tree | 89.12 | 88.83 | 89.87 | 89.35 | JaSt | 92.16 | 96.71 | 92.53 | 94.57 | ASS-T | 97.97 | 98.10 | 97.89 | 98.00 | ASS-G | 96.52 | 98.26 | 94.83 | 96.52 | ASS-TG | 99.71 | 98.83 | 97.74 | 98.82 |
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