| 1 | US | 4.65% | |
| 2 | Exposes | 2.33% | |
| 3 | Bradley | 2.33% | |
| 4 | Their | 2.33% | |
| 5 | ZimEye | 2.33% | |
| 6 | Australia | 2.33% | |
| 7 | UAE | 2.33% | |
| 8 | Crimes | 2.33% | |
| 9 | Strange | 2.33% | |
| 10 | Hospital | 2.33% | |
| 11 | Russia | 2.33% | |
| 12 | Exhibition | 2.33% | |
| 13 | Mnangagwas | 2.33% | |
| 14 | New | 2.33% | |
| 15 | Experiences | 2.33% | |
| 16 | Patients | 2.33% | |
| 17 | MBT | 2.33% | |
| 18 | Leopard | 2.33% | |
| 19 | Israel | 2.33% | |
| 20 | Harare | 2.33% | |
| 21 | Moscow | 2.33% | |
| 22 | Zimbabwe | 2.33% | |
| 23 | Doctors | 2.33% | |
| 24 | USA | 2.33% | |
| 25 | Biden | 2.33% | |
| 26 | ByteDance | 2.33% | |
| 27 | Narrate | 2.33% | |
| 28 | Gaza | 2.33% | |
| 29 | Heinous | 2.33% | |
| 30 | TikTok | 2.33% | |
| 31 | AMX-10 | 2.33% | |
| 32 | ‘War | 2.33% | |
| 33 | Gold | 2.33% | |
| 34 | Zealand | 2.33% | |
| 35 | Flaunt | 2.33% | |
| 36 | Trophies’ | 2.33% | |
| 37 | AFV | 2.33% | |
| 38 | Police | 2.33% | |
| 39 | Parirenyatwa | 2.33% | |
| 40 | Fake | 2.33% | |
| 41 | Caught | 2.33% | |
| 42 | IFV | 2.33% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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