SUN’IY INTELLEKT YORDAMIDA TABIIY TILNI TUSHUNISH USULLARI VA ALGORITMLARI TAHLILI

Mualliflar

  • Sulaymonova Fozila Mo‘minjon qizi Muhammad al-Xorazmiy nomidagi Toshkent Axborot Texnologiyalari universiteti magistranti ##default.groups.name.author##

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https://doi.org/10.1808/hq2xv073

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artificial intelligence (AI), machine learning algorithms, neural networks, natural language understanding (NLU), named object recognition, Rule based systems, language features, computational linguistics

Abstrak

This article discusses methods and algorithms for understanding natural language with the help of artificial intelligence. In particular, a comparative analysis of rule-based systems and statistical methods (particularly, machine learning) is presented.

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Uzbek Speech Synthesis Using Deep Learning Algorithms. MI Abdullaeva, DB Juraev, MM Ochilov, MF Rakhimov. Intelligent Human Computer Interaction: 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20–22, 2022.

Agglutinativ tillar uchun pos teglash va stemming masalasi (turk, uyg‘ur, o‘zbek tillari misolida). B Elov, Sh Hamroyeva, O Abdullayeva, Z Husainova, N Xudayberganov. O’ZBEKISTON: TIL VA MADANIYAT. (ISSN 2181-922X) 2023 Vol. 2

Sun’iy intellekt algoritmlari yordamida O‘zbek tabiiy tilini tushunishning ahamiyati. F Sulaymonova. Educational Research in Universal Sciences. (ISSN: 2181-3515) VOLUME 2 | SPECIAL ISSUE 2 | 2023

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

Zafarjon o‘g‘li, Muydinov Muhammadzoir. "SHOYIM BO ‘TAYEV HIKOYALARIDA XARAKTERLAR TASVIRI." Konferensiyalar| Conferences. Vol. 1. No. 4. 2024.

Zafarjon o'g'li, Muydinov Muhammadzoir. "ANVAR OBIDJON ASARLARINING NASRIY POETIKASI." (2023).

Zafarjon o'g'li, Muydinov Muhammadzoir. "ANVAR OBIDJONNING IJOD LABARATORIYASINING SHAKLLANISHIGA BIR NAZAR." (2023).

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Nashr qilingan

2024-04-18

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Sulaymonova Fozila Mo‘minjon qizi. (2024). SUN’IY INTELLEKT YORDAMIDA TABIIY TILNI TUSHUNISH USULLARI VA ALGORITMLARI TAHLILI. INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 1(1), 40-45. https://doi.org/10.1808/hq2xv073