Research Article
Readability Evaluation of Books in Chinese as a Foreign Language Using the Machine Learning Algorithm
Table 3
Sorting results of semantic dimension feature in books in foreign languages words of Chinese based on a machine learning algorithm.
| Second category | Forth category |
| /p | 0.204 | /c | 0.146 | /m | 0.216 | /m | 0.231 | /u | 0.209 | /v | 0.230 | /v | 0.224 | /n | 0.221 | /n | 0.237 | /u | 0.207 | /q | 0.251 | /p | 0.203 | /Qv | 0.304 | /Qv | 0.303 | /Ad | 0.304 | /Mq | 0.303 | /Mq | 0.329 | /Ad | 0.301 | /r | 0.291 | /r | 0.292 | /d | 0.276 | /d | 0.264 | /z | 0.286 | /z | 0.271 | /t | 0.264 | /t | 0.255 | /a | 0.253 | /q | 0.250 | /c | 0.254 | /a | 0.256 | /Vd | 0.304 | /An | 0.306 | /Ns | 0.318 | /Nt | 0.0314 | /Nt | 0.312 | /Ns | 0.310 | /Vn | 0.308 | /Vn | 0.305 | /Qt | 0.308 | /Qt | 0.305 | /Nz | 0.307 | /Nz | 0.304 | All features | 0.215 | All features | 0.206 | Optimal combination | 0.186 | Optimal combination | 0.187 |
|
|