Keywords
NLP
chuqur o‘rganish
sun’iy neyron tarmoqlar
BERT
GPT
FastText
o‘zbek tili
til texnologiyalari
ma’lumotlar tahlili
How to Cite
Abstract
Ushbu maqolada tabiiy tilni qayta ishlash (Natural Language Processing, NLP) bo‘yicha zamonaviy yondashuvlar, ayniqsa, chuqur o‘rganish (deep learning) modellarining NLP sohasidagi o‘rni tahlil qilinadi. Tadqiqotda BERT, GPT va FastText kabi ilg‘or NLP modellarining ishlash tamoyillari va ularning o‘zbek tiliga tatbiq etish imkoniyatlari o‘rganilgan. Adabiyot tahlili, eksperimental tahlil va amaliy tadqiqot metodlari asosida NLP sohasidagi asosiy yutuqlar hamda o‘zbek tilida NLP rivojlanishining muammolari tahlil qilinadi. Natijalarga ko‘ra, o‘zbek tilidagi NLP rivojlanishini tezlashtirish uchun annotatsiyalangan korpuslarni yaratish, transformer modellarini moslashtirish va xalqaro hamkorlikni kuchaytirish zarurligi aniqlangan.References
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