| 1 | Exposes | 3.03% | |
| 2 | Bradley | 3.03% | |
| 3 | ZimEye | 3.03% | |
| 4 | Australia | 3.03% | |
| 5 | UAE | 3.03% | |
| 6 | Crimes | 3.03% | |
| 7 | Russia | 3.03% | |
| 8 | Exhibition | 3.03% | |
| 9 | Mnangagwas | 3.03% | |
| 10 | New | 3.03% | |
| 11 | MBT | 3.03% | |
| 12 | Leopard | 3.03% | |
| 13 | City | 3.03% | |
| 14 | Moscow | 3.03% | |
| 15 | Zimbabwe | 3.03% | |
| 16 | USA | 3.03% | |
| 17 | Biden | 3.03% | |
| 18 | ByteDance | 3.03% | |
| 19 | Heinous | 3.03% | |
| 20 | TikTok | 3.03% | |
| 21 | DRC | 3.03% | |
| 22 | AMX-10 | 3.03% | |
| 23 | ‘War | 3.03% | |
| 24 | Gold | 3.03% | |
| 25 | Zealand | 3.03% | |
| 26 | Flaunt | 3.03% | |
| 27 | SA | 3.03% | |
| 28 | Trophies’ | 3.03% | |
| 29 | AFV | 3.03% | |
| 30 | Police | 3.03% | |
| 31 | Press | 3.03% | |
| 32 | US | 3.03% | |
| 33 | IFV | 3.03% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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