https://zienjournals.com/index.php/tjet/issue/feedTexas Journal of Engineering and Technology2025-01-18T05:59:22+00:00Steave Bosoneditor@zienjournals.comOpen Journal Systems<p><strong>Texas Journal of Engineering and Technology</strong> provides the opportunity to the authors to publish their original research articles in field of Engineering and Technological Advancements. </p> <p><strong>Frequency of Publication:</strong> Monthly</p> <p><strong>Acceptance Notification:</strong> 45 Days</p> <p><strong>ISSN (Online):</strong> <a href="https://portal.issn.org/resource/ISSN/2770-4491">2770-4491</a></p> <p><strong>doi Prefix:</strong> 10.62480</p> <p> </p>https://zienjournals.com/index.php/tjet/article/view/5873Development Of Deep Learning Models And Algorithms For Language Processing In Uzbek2025-01-18T05:59:22+00:00Suyunova ZamiraSuyunova@gmail.comErkinova DilnozaErkinova@gmail.com<p>This article focuses on the development of deep learning models and algorithms specifically designed for Uzbek language processing within the IT field. A comprehensive approach involving data collection, preprocessing, model selection, and evaluation was employed. Experiments with RNN, LSTM, and transformer-based models like BERT and GPT were conducted, with transformer models yielding superior results. Key challenges included limited datasets and the complex morphological structure of Uzbek. The findings suggest that fine-tuned transformer models, especially with language-specific preprocessing, can significantly improve performance in language understanding tasks for low-resource languages</p>2025-01-10T00:00:00+00:00Copyright (c) 2025 Suyunova Zamira, Erkinova Dilnoza