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Sun’iy intellekt algoritmlari asosida matn tilini avtomatik aniqlash

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MAQOLA ANNOTATSIYASI

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Maqolada matn tilini aniqlashning sun’iy intellekt algoritmlariga asoslangan yondashuvlari muhokama qilinadi. Matn tilini aniqlash sun’iy intelletkning sinflashtirish masalasi bo‘lganligi sababli, maqolada mashinali o‘qitish va neyron tarmoq modellarining bir nechta sinflashtirish algoritmlari imkoniyatlari ko‘rib o‘tiladi. Ishda o‘zbek, inlgiz, rus, qoraqalpoq tillarini aniqlovchi model uchun o‘quv ma’lumotlar to‘plamini shakllantirish masalasi ko‘riladi. Shuningdek matn tilini aniqlashda foydalanilgan modellarning aniqlik ko‘rsatkichlari bo‘yicha qiyosiy tahlil amalga oshiriladi.

MUALIFLAR

Teglar

# classification# классификация# Машинное обучение# Machine Learning# NLP# deep learning# глубокое обучение# sinflashtirish# mashinali o‘qitish# рекуррентные нейронные сети# recurrent neural networks# crowling# matn tili# o‘quv ma’lumotlar to‘plami# chuqur o‘qitish# rekurrent neyron tarmoqlar# model aniqligini baholash# text language# training dataset# model accuracy evaluation# Обработка естественного языка-NL# краулинг# текстовый язык# обучающий набор данных# оценка точности модели

Maqolani baholang

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Maqola idintifikatorlari

Foydalanilgan adabiyotlar

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Musaev M., Khujayarov I., Ochilov M. “Speech Recognition Technologies Based on Artificial Intelligence Algorithms” Intelligent Human Computer Interaction: 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20–22, 2022, Pages 51–62.

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Xujayarov I.Sh, Ochilov M.M. Neyron tarmoqlariga asoslangan nutq signallarini akustik modellashtirish usullari tahlili.

S Ibragimova, T Boburkhon, M Abdullayeva. Solving the problems of normalization of non-standard words in the text of the uzbek language Acta of Turin Polytechnic University in Tashkent 13 (3), pp. 38-42 .

Abdullayeva M.I., Jurayev D.B, Ochilov M.M. Nutqni imo-ishora tiliga tarjima qilish tizimlarida matnlarga ishlov berish. TATU xabarlari, b. 112-118.

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