TIL O'RGANISH JARAYONINI AVTOMATLASHTIRISH UCHUN TABIIY TILNI QAYTA ISHLASH (NLP) ASOSIDAGI INTELLEKTUAL YORDAMCHI
Keywords:
tabiiy tilni qayta ishlash, NLP, intellektual yordamchi, til o'rganish, transformerlar, BERT, adaptiv o'qitish, mashinaviy o'qitish., natural language processing, NLP, intelligent assistant, language learning, transformers, BERT, adaptive learning, machine learning.Abstract
Ushbu maqolada tabiiy tilni qayta ishlash (NLP) texnologiyalari asosida til o'rganish jarayonini avtomatlashtirish maqsadida ishlab chiqilgan intellektual yordamchi tizimi taqdim etiladi. Tadqiqot davomida mashinaviy o'qitish algoritmlari, transformerga asoslangan modellar (BERT, GPT) va adaptiv o'rganish yondashuvlari tahlil qilingan. Taklif etilgan tizim o'quvchining saviyasini real vaqtda baholash, grammatik xatolarni avtomatik tuzatish va shaxsiylashtirilgan mashqlar generatsiya qilish imkoniyatlarini qamrab oladi. Eksperimental natijalar ko'rsatishicha, NLP-asosidagi yordamchi tizimdan foydalangan o'quvchilar an'anaviy usullarga nisbatan 42% ko'proq samaradorlikka erishgan. Tizimning o'zbekcha va ingliz tili uchun sinab ko'rilgan versiyasi F1-score 0.89 ko'rsatkichiga erishgan.
This paper presents an intelligent assistant system developed based on Natural Language Processing (NLP) technologies for automating the language learning process. The study analyzes machine learning algorithms, transformer-based models (BERT, GPT), and adaptive learning approaches. The proposed system encompasses real-time learner proficiency assessment, automatic grammatical error correction, and personalized exercise generation. Experimental results show that learners using the NLP-based assistant achieved 42% higher efficiency compared to traditional methods. The system tested for Uzbek and English languages achieved an F1-score of 0.89.
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