MASHINA TARJIMASI: TIL VA TEXNOLOGIYA KESISHMASIDAGI DOLZARB MASALALAR
Abstract
Ushbu maqolada mashina tarjimasining zamonaviy texnologiyalar rivojidagi o‘rni, koreys, qoraqalpoq va ingliz tillariga oid tarjima jarayonidagi muammolar, ko‘p tillik modellashgan komputer tarjimoni texnologiyasi, NLP (tabiiy tilni qayta ishlash) texnologiyalari va ularning ijtimoiy-texnologik ahamiyati tahlil qilinadi. Kam resursli tillar uchun zamonaviy tarjima tizimlarining imkoniyatlari, aniq misollar asosida sharhlanadi hamda madaniy tafovutlar va tarjima sifati muammolari yoritiladi.
References
1. Abduvohidova S.G. (2024). Methods of Translating Korean Poetry into Uzbek. Int. Journal of Artificial Intelligence, №4(34), – B. 516-518.
2. Abdieva I., Djurayev D. (2024). Translation Strategies for Korean and Uzbek Culture Specific Items (CSIs). Int. Bulletin of Applied Science and Technology, №11(45), – B. 238-245.
3. Sattorova M. S. (2025). Comparative Analysis of Verb Aspects in English, Korean, and Uzbek using NLP Tools. Int. Educators Conference, – B. 271-283.
4. To‘raqulova D. (2024). Uzbek-Korean Literary Relations and Translation. ACTA NUUz, №2(87).
5. Marie B., Fujita A., Rubino R. (2021). Scientific Credibility of Machine Translation Research. arхiv: 2106.15195.
6. Хакимов М.Х. Технология многоязы¬кового моделируемого компью-терного переводчика. Монография. Riga, Lambert Academie Publishing, 2019, 176 с.
7. Khakimov М.H. Tabiiy tillarni kengayuuvchi kirish tilida rasmiylashtirish usuli. Ixtiro Patenti № IAP 07121, 21.09.2022
8. Arivazhagan N., Bapna A., Firat O., et al. (2019). Massively Multilingual Neural Machine Translation in the Wild. arXiv:1907.05019.
9. Bahdanau D., Cho K., Bengio Y. (2014). Neural Machine Translation by Jointly Learning to Align and Translate. arXiv:1409.0473.
10. Maruf S., Saleh F., Haffari G. (2019). A Survey on Document-level NMT: Methods and Evaluation. arXiv:1912.08494.
11. Fayzullayeva S. R. (2025). Comparison of Korean and Uzbek Languages: Similarities and Differences. TADQIQOTLAR, №3(52), – B. 10-12.
12. Eshpulatova S. (2025). Semantic Role of Korean Conjunctions in Uzbek. Int. Journal of AI, №4(37), – B. 614-617.
13. Bojar O. et al. (2016). Findings of the 2016 Conference on Machine Translation (WMT16). ACL Anthology, – B. 131-198.
14. Koehn P. (2020). Neural Machine Translation. Cambridge University Press.
