| Mid Lambda EN | |
| The model was trained on about 10,000 unique medical terms. You can see a summary of the data in the next section | |
| ### Overview Dataset | |
| __**You can try pronunciation of words like shown in the table below** | |
| | | Term | | |
| |---:|:-----------------| | |
| | 0 | indogesic | | |
| | 1 | rothacin | | |
| | 2 | indomethacin | | |
| | 3 | methacin | | |
| | 4 | indocid retard | | |
| | 5 | flexin | | |
| | 6 | elmetacin | | |
| | 7 | ixifi | | |
| | 8 | remsima | | |
| | 9 | remicade | | |
| | 10 | actacel vaccine | | |
| | 11 | axitinib | | |
| | 12 | isoprinosine | | |
| | 13 | imunovir | | |
| | 14 | icgreen | | |
| | 15 | emacrit | | |
| | 16 | emacrit capsules | | |
| | 17 | sarclisa | | |
| | 18 | cresemba | | |
| | 19 | isepacine | |