TABLE III. Accuracy and UAR (%) From Each Sentence Based on the BiLSTM Disease-Classifier System.
| Chinese sentence | Accuracy | UAR |
|---|---|---|
| wo3 ting1 dao4 you3 ren2 chiao1 men2 | 82.88 | 75.39 |
| lan3 lan3 de5 shuo1 le5 yi4 sheng1 ching3 jin4 lai2 | 89.27 | 80.68 |
| men2 kai1 le5 wo3 kan4 dao4 yi4 ge5 nian2 ching1 ren2 | 84.63 | 74.09 |
| shou4 chang2 de5 shen1 ti3 ming2 liang4 de5 yan3 jing1 | 86.23 | 75.55 |
| hai2 you3 yi4 jhang1 cheng2 ken3 de5 lian3 | 80.17 | 74.78 |
| kan4 ta1 lian3 shang4 de5 biao3 ching2 yi3 ji2 yan2 su4 de5 tai4 du4 | 82.13 | 67.47 |
| jhen1 siang4 you3 shen2 me5 shih4 ching2 yao4 wo3 bang1 jhu4 | 81.37 | 73.75 |