IJTIMOIY TARMOQLARDAGI PEDAGOGIK NUTQ TRANSFORMATSIYASINI TAHLIL QILISHDA ZAMONAVIY TIL MODELLARI VA RAQAMLI ALGORITMLARNING LINGVISTIK IMKONIYATLARI
LINGUISTIC CAPABILITIES OF MODERN LANGUAGE MODELS AND DIGITAL ALGORITHMS IN ANALYZING THE TRANSFORMATION OF PEDAGOGICAL DISCOURSE ON SOCIAL MEDIA
Ushbu maqolada globallashuv va ta’limni raqamlashtirish davrida pedagoglarning ijtimoiy tarmoqlardagi kasbiy-pedagogik nutq shakllari (e-pedagogical discourse) va uning transformatsiyasi matnshunoslik hamda diskurs tahlili prinsiplari asosida tadqiq etiladi. Tadqiqot jarayonida zamonaviy til modellari va intellektual algoritmlarning o‘zbek tilidagi pedagogik raqamli muloqot tarkibidagi o‘ziga xos lisoniy tuzilmalarni, akademik me’yorlar hamda pragmatik kontekstlarni interpretatsiya qilish salohiyati qiyosiy-lingvistik tahlil qilingan. Maqolada avtomatlashtirilgan dasturlarning kiber-pedagogik matn tahlili va amaliy tilshunoslik sohalaridagi imkoniyatlari hamda cheklovlari baholanib, virtual matnshunoslik muhitida pedagogik nutq madaniyatini rivojlantirish bo‘yicha metodik tavsiyalar ilgari surilgan. Tahlil til modellari leksik-grammatik sathda yuqori, pragmatik sathda (yashirin tanbeh, piching) esa past samaradorlik ko‘rsatishini aniqladi.
This article examines the forms of professional pedagogical speech (e-pedagogical discourse) of educators on social networks and its transformation in the era of globalization and digitalized education, from textological and discourse-analytical perspectives. In the course of the research, a comparative-linguistic analysis of the potential of modern language models and intellectual algorithms in interpreting specific linguistic structures, academic norms, and pragmatic contexts within Uzbek digital pedagogical communication was conducted. The article evaluates the capabilities and limitations of automated programs in the field of cyber-pedagogical text analysis and applied linguistics, and proposes methodical recommendations for developing pedagogical speech culture in a digital textological environment. The analysis shows that language models perform well at the lexical-grammatical level but poorly at the pragmatic level (implicit reproach, irony).