SUN’IY INTELLEKT ALGORITMLARI YORDAMIDA O‘ZBEK TABIIY TILINI TUSHUNISHNING AHAMIYATI

Fozila Mo‘minjon qizi Sulaymonova

SUN’IY INTELLEKT ALGORITMLARI YORDAMIDA O‘ZBEK TABIIY TILINI TUSHUNISHNING AHAMIYATI

Authors

Fozila Mo‘minjon qizi Sulaymonova Muhammad al-Xorazmiy nomidagi Toshkent Axborot Texnologiyalari universiteti magistranti

Keywords:

sun’iy intellekt, mashinali o‘qitish algoritmlari, chuqur neyron tarmoqlar, tabiiy tilni tushunish (NLU – natural language understanding), tabiiy tilni qayta ishlash(NLP – natural language processing).

Abstract

Ushbu maqolada sun’iy intellekt algoritmlari yordamida tabiiy tilni tushunishning zaruriyati haqida fikr yuritilgan va hozirgi kunda o‘zbek tabiiy tilini tushunishning dolzarbligi ko‘rsatib berilgan.

References

Charu C. Aggarwal. Neural Networks and Deep Learning. Springer Cham. 2018. P.520.

B. Mengliyev, Sh. Hamroyeva, Sh. G‘ulomova O‘zbek tili lingvistik analizatorlarini yaratish. Ma’rifat. 2022-yil. 16-mart.

https://monkeylearn.com/blog/natural-language-understanding

Downloads

Published

2023-04-27

How to Cite

Sulaymonova, F. M. qizi. (2023). SUN’IY INTELLEKT ALGORITMLARI YORDAMIDA O‘ZBEK TABIIY TILINI TUSHUNISHNING AHAMIYATI. Educational Research in Universal Sciences, 2(2 SPECIAL), 374–377. Retrieved from http://erus.uz/index.php/er/article/view/2022