| 1 | Hong | 2.7% | |
| 2 | Korea | 2.7% | |
| 3 | Shein | 2.7% | |
| 4 | Japan | 2.7% | |
| 5 | US’s | 2.7% | |
| 6 | Russia | 2.7% | |
| 7 | National | 2.7% | |
| 8 | S. | 2.7% | |
| 9 | Relations | 2.7% | |
| 10 | EU | 2.7% | |
| 11 | Buddhism’s | 2.7% | |
| 12 | Vietnam’s | 2.7% | |
| 13 | Filipino | 2.7% | |
| 14 | Panchen | 2.7% | |
| 15 | Xi | 2.7% | |
| 16 | Kong | 2.7% | |
| 17 | North | 2.7% | |
| 18 | Koreans | 2.7% | |
| 19 | Scarborough | 2.7% | |
| 20 | Seoul | 2.7% | |
| 21 | Myanmar | 2.7% | |
| 22 | Does | 2.7% | |
| 23 | China | 2.7% | |
| 24 | Sen | 2.7% | |
| 25 | Hun | 2.7% | |
| 26 | Blinken | 2.7% | |
| 27 | Kinmen | 2.7% | |
| 28 | Alleged | 2.7% | |
| 29 | US | 2.7% | |
| 30 | Lama | 2.7% | |
| 31 | Chinese | 2.7% | |
| 32 | Tibet’s | 2.7% | |
| 33 | Assembly | 2.7% | |
| 34 | Taiwan | 2.7% | |
| 35 | Survival | 2.7% | |
| 36 | Shoal | 2.7% | |
| 37 | Act | 2.7% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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