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% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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