The 1st Asia Pacific Linguistics Olympiad (APLO 2019) was held simultaneously in ten countries/regions, on May 5, 2019.
A total of 269 contestants participated in 12 official testing sites. After grading, the top 8 students from each delegation were regarded as official participants.
| Country/Region | Official testing sites | Number of contestants |
|---|---|---|
| Bangladesh | Dhaka, Narayanganj | 94 |
| China | Beijing, Shanghai | 28 |
| Hong Kong | Hong Kong | 19 |
| India | Hyderabad | 39 |
| Japan | Tokyo | 8 |
| Malaysia | Kuala Lumpur | 15 |
| Nepal | Kathmandu | 12 |
| Republic of Korea | Seoul | 24 |
| Taiwan | Taipei | 16 |
| Ukraine | Kyiv | 14 |
| Sum | 269 |
The contestants competed to solve problems on diverse languages including Ik, Urarina, Mee, Hebrew, and Old Turkic script. The problem set was provided in 10 different language versions. Problems and solutions may be found at https://aplo.asia/problems-by-year/.
Among the 80 official participants, 61 medals (6 gold, 22 silver, and 33 bronze) and 19 honourable mentions have been awarded by the International Jury. The cut-off scores are
Gold ≥ 44.2; Silver ≥ 28.4; Bronze ≥ 12.6.
The following tables contain the country results and the individual results of APLO 2019.
Country Results
| Rank | Country/Region | Gold | Silver | Bronze | HM |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 1 | 3 | 4 | 0 |
| 1 | Taiwan | 1 | 3 | 4 | 0 |
| 1 | India | 1 | 3 | 4 | 0 |
| 1 | Ukraine | 1 | 3 | 4 | 0 |
| 5 | Japan | 1 | 3 | 3 | 1 |
| 6 | Malaysia | 1 | 2 | 5 | 0 |
| 7 | China | 0 | 4 | 4 | 0 |
| 8 | Hong Kong | 0 | 1 | 3 | 4 |
| 9 | Bangladesh | 0 | 0 | 2 | 6 |
| 10 | Nepal | 0 | 0 | 0 | 8 |
| Sum | 6 | 22 | 33 | 19 |
Individual Results
| Rank | Country | Surname | Given Name | P1 | P2 | P3 | P4 | P5 | Total | Award |
|---|---|---|---|---|---|---|---|---|---|---|
| 33 | Hong Kong | Yuen | Audrey | 17 | 0.5 | 5 | 0 | 8.5 | 31 | Silver |
| 53 | Hong Kong | Lo | Hiu Wa Melody | 18 | 1.5 | 1 | 0 | 2 | 22.5 | Bronze |
| 60 | Hong Kong | Chi | Chia Yu Joy | 12.5 | 0.5 | 1 | 0.5 | 0 | 14.5 | Bronze |
| 61 | Hong Kong | Choy | Tsun Hin | 0.5 | 4.5 | 0 | 0.5 | 8 | 13.5 | Bronze |
| 63 | Hong Kong | Kim | Aujin | 4 | 0.5 | 0 | 0 | 5.5 | 10 | HM |
| 64 | Hong Kong | Fong | Ka Ying | 3 | 1 | 0 | 1 | 3.5 | 8.5 | HM |
| 66 | Hong Kong | Ma | Cheuk Wai | 0 | 5 | 0 | 0 | 2.5 | 7.5 | HM |
| 69 | Hong Kong | So | Ki Wai Grace | 3 | 0.5 | 1 | 0.5 | 1.5 | 6.5 | HM |
| 2 | Republic of Korea | Park | Tae Eon | 17 | 0.5 | 16 | 15 | 13 | 61.5 | Gold |
| 10 | Republic of Korea | Choi | Hyuk Jae | 2.5 | 1 | 18 | 10 | 14.5 | 46 | Silver |
| 20 | Republic of Korea | Pi | Hansol | 0 | 2.5 | 19 | 3 | 11 | 35.5 | Silver |
| 24 | Republic of Korea | Kim | Seonoo | 0 | 9 | 15 | 1.5 | 8 | 33.5 | Silver |
| 26 | Republic of Korea | Hong | See Eun | 0 | 4 | 19 | 0 | 10 | 33 | Bronze |
| 35 | Republic of Korea | Cheon | Ga Yeong | 0 | 7.5 | 15 | 6 | 2 | 30.5 | Bronze |
| 38 | Republic of Korea | Kang | Sun Woo | 0 | 2.5 | 13 | 11.5 | 2 | 29 | Bronze |
| 39 | Republic of Korea | Oh | Haenaem | 0 | 7 | 14 | 0 | 7 | 28 | Bronze |
| 73 | Nepal | Pachkoti | Sujal | 1 | 0 | 0 | 1 | 0 | 2 | HM |
| 73 | Nepal | GC | Gauri | 0.5 | 0 | 0 | 1.5 | 0 | 2 | HM |
| 75 | Nepal | Khanal | Aashrab | 0.5 | 0 | 0 | 1 | 0 | 1.5 | HM |
| 76 | Nepal | Khatiwada | Pranjal | 0 | 0 | 0 | 1 | 0 | 1 | HM |
| 76 | Nepal | Gautam | Rabi | 0 | 0 | 0 | 0 | 1 | 1 | HM |
| 76 | Nepal | Manandhar | Rusha | 0 | 0 | 1 | 0 | 0 | 1 | HM |
| 79 | Nepal | Danuwar | Binjala | 0.5 | 0 | 0 | 0 | 0 | 0.5 | HM |
| 79 | Nepal | Basnet | Sonimsha | 0 | 0.5 | 0 | 0 | 0 | 0.5 | HM |
| 22 | China | Liu | Tina Mengting | 12.5 | 3.5 | 10 | 1 | 8 | 35 | Silver |
| 24 | China | Feng | Boya | 16 | 0 | 15 | 0 | 2.5 | 33.5 | Silver |
| 29 | China | Huang | Yuxiao | 0 | 6.5 | 13 | 0 | 12.5 | 32 | Silver |
| 35 | China | Zhou | De | 15.5 | 6 | 0 | 0 | 9 | 30.5 | Silver |
| 42 | China | Lee | Dong Wook | 14 | 0 | 5 | 1.5 | 6 | 26.5 | Bronze |
| 43 | China | Zou | Jiyang | 0 | 1 | 18 | 0 | 7 | 26 | Bronze |
| 46 | China | Dou | Chang | 14 | 2.5 | 4 | 2 | 2 | 24.5 | Bronze |
| 50 | China | Choy | Hing Yee | 8 | 4 | 11 | 0.5 | 0 | 23.5 | Bronze |
| 1 | Japan | Yoshino | Takumi | 15.5 | 17 | 14 | 16.5 | 12 | 75 | Gold |
| 5 | Japan | Takahashi | Tsubasa | 0 | 17 | 19 | 1.5 | 14 | 51.5 | Silver |
| 13 | Japan | Morinishi | Rion | 17.5 | 0 | 3 | 11 | 11.5 | 43 | Silver |
| 18 | Japan | Kubomiya | Reona | 0 | 1 | 10 | 12 | 13 | 36 | Silver |
| 33 | Japan | Ose | Takumi | 0 | 4 | 20 | 0 | 7 | 31 | Bronze |
| 57 | Japan | Hara | Rino | 4 | 1 | 7 | 1.5 | 3 | 16.5 | Bronze |
| 59 | Japan | Sato | Kazune | 3 | 6 | 4 | 0 | 3 | 16 | Bronze |
| 67 | Japan | Yazawa | Sota | 1 | 0 | 6 | 0 | 0 | 7 | HM |
| 45 | Bangladesh | Meghla | Marzana Hossain | 14 | 0 | 0 | 11 | 0 | 25 | Bronze |
| 57 | Bangladesh | Khan | Tanvir Rahman | 8 | 3 | 1 | 2.5 | 2 | 16.5 | Bronze |
| 62 | Bangladesh | Ferdous | Syed Nahian | 5 | 1 | 0 | 0.5 | 6 | 12.5 | HM |
| 64 | Bangladesh | Joni | Jahid Hasan | 4 | 0 | 1 | 3.5 | 0 | 8.5 | HM |
| 67 | Bangladesh | Robin | Al Shahriar | 0.5 | 0 | 4 | 1.5 | 1 | 7 | HM |
| 70 | Bangladesh | Taufiquzzaman | S. M. | 1 | 0 | 4 | 1 | 0 | 6 | HM |
| 71 | Bangladesh | Showrav | Al Raihan | 1 | 2 | 1 | 1 | 0 | 5 | HM |
| 72 | Bangladesh | Akter | Tania | 0.5 | 0 | 0 | 2.5 | 0 | 3 | HM |
| 8 | Ukraine | Kryvosheieva | Daria | 3 | 12.5 | 19 | 2 | 12.5 | 49 | Gold |
| 10 | Ukraine | Bachynska | Arina | 13.5 | 0 | 17 | 1.5 | 14 | 46 | Silver |
| 13 | Ukraine | Petrusenko | Vlada | 14 | 4.5 | 14 | 3.5 | 7 | 43 | Silver |
| 16 | Ukraine | Nikitina | Yuliia | 17 | 1.5 | 12 | 0 | 10.5 | 41 | Silver |
| 20 | Ukraine | Bilyk | Olesia | 2 | 4 | 17 | 1 | 11.5 | 35.5 | Bronze |
| 26 | Ukraine | Petrenko | Sviatozar | 14.5 | 2.5 | 16 | x | 0 | 33 | Bronze |
| 45 | Ukraine | Yushko | Artem | 16 | 7 | 0 | 2 | 0 | 25 | Bronze |
| 53 | Ukraine | Lavrov | Bohdan | 0 | 0 | 14 | 0 | 7.5 | 21.5 | Bronze |
| 4 | India | Ghosal | Angikar | 15 | 1.5 | 9 | 11.5 | 15.5 | 52.5 | Gold |
| 6 | India | Kothari | Jaisal | 12.5 | 0 | 19 | 4.5 | 13.5 | 49.5 | Silver |
| 15 | India | Ajit Gupte | Aparna | 0 | 12.5 | 14 | 0 | 16 | 42.5 | Silver |
| 17 | India | Menon | Abhinav Sreekumar | 0 | 4 | 17 | 5 | 11.5 | 37.5 | Silver |
| 26 | India | Kochar | Mansha | 17.5 | 0 | 2 | 0 | 13.5 | 33 | Bronze |
| 30 | India | Ganguly | Ishan | 0 | 1 | 11 | 6.5 | 13 | 31.5 | Bronze |
| 30 | India | Attavar | Siddhant | 8.5 | 0 | 13 | 2 | 8 | 31.5 | Bronze |
| 39 | India | Anupam | Sagnik | 1.5 | 8 | 5 | 2.5 | 11 | 28 | Bronze |
| 9 | Malaysia | Ong | Jing Kai | 17.5 | 0 | 18 | 3 | 8.5 | 47 | Gold |
| 12 | Malaysia | Yeoh | Zi Song | 1.5 | 13 | 18 | 0 | 11 | 43.5 | Silver |
| 37 | Malaysia | Ooi | Zhe Ren | 16.5 | 0 | 4 | 0 | 9.5 | 30 | Silver |
| 46 | Malaysia | Go | Jun Xing | 0 | 6 | 18 | 0 | 0.5 | 24.5 | Bronze |
| 48 | Malaysia | Nur | Fatin Najihah Binti Ruslan | 0 | 0 | 13 | 8.5 | 2.5 | 24 | Bronze |
| 51 | Malaysia | Ong | Heyang | 0 | 0 | 18 | 0 | 5 | 23 | Bronze |
| 54 | Malaysia | Ong | Jiaqing | 0 | 3 | 15 | 0 | 3 | 21 | Bronze |
| 54 | Malaysia | Lee | Ci Hui | 0 | 5 | 12 | 0 | 4 | 21 | Bronze |
| 3 | Taiwan | Wang | Chih-Chun | 0.5 | 11 | 20 | 7 | 14.5 | 53 | Gold |
| 6 | Taiwan | Lin | You-Kuan | 0 | 15.5 | 16 | 0 | 18 | 49.5 | Silver |
| 18 | Taiwan | Peng | Kai-Yang | 0 | 3.5 | 20 | 2 | 10.5 | 36 | Silver |
| 22 | Taiwan | Lee | Yu-hsuan | 12 | 1 | 14 | 3.5 | 4.5 | 35 | Silver |
| 30 | Taiwan | Chen | Po-Wen | 11 | 0 | 13 | 1.5 | 6 | 31.5 | Bronze |
| 41 | Taiwan | Chen | Jun-Wei | 1 | 5 | 17 | 0 | 4.5 | 27.5 | Bronze |
| 43 | Taiwan | Lin | Hsin-Yi | 0.5 | 3 | 14 | 5 | 3.5 | 26 | Bronze |
| 49 | Taiwan | Lin | Siang-Chen | 1 | 4 | 14 | 0.5 | 4.5 | 24 | Bronze |
Published May 23, 2019
Online Version Updated June 9, 2022
APLO 2019 International Board