THE TRANSLATIONAL SIGNIFICANCE OF DIGITAL PRAGMATIC STRATEGIES IN ENGLISH AND UZBEK FOR ARTIFICIAL INTELLIGENCE SYSTEMS

The rapid development of digital communication has significantly influenced linguistic interaction and translation processes. In particular, pragmatic strategies used in digital discourse play a crucial role in ensuring effective communication across languages. This study explores the translational significance of digital pragmatic strategies in English and Uzbek within artificial intelligence (AI) systems. The research analyzes how pragmatic features such as politeness strategies, contextual cues, implicit meanings, and discourse markers function in digital communication and how they can be accurately interpreted by AI-based translation technologies. Comparative linguistic analysis reveals that differences in cultural context, communicative norms, and pragmatic conventions between English and Uzbek often lead to challenges in machine translation systems. The study emphasizes the importance of incorporating pragmatic competence into AI algorithms to improve translation accuracy and contextual relevance. The findings suggest that integrating pragmatic modeling and contextual interpretation mechanisms can significantly enhance the performance of AI-driven translation tools and digital language processing systems.数字通信的迅猛发展，对语言交际与翻译流程均产生了深远影响。尤为关键的是，数字话语中所采用的语用策略，对保障跨语言有效交际发挥着核心作用。本研究聚焦人工智能（AI）系统语境下英语与乌兹别克语的数字语用策略的翻译价值展开探究。本研究分析了诸如礼貌策略、语境线索、隐含语义及话语标记语等语用特征在数字通信中的运作机制，以及基于AI的翻译技术如何对其实现精准解读。对比语言学分析表明，英语与乌兹别克语在文化语境、交际规范及语用惯例上存在的差异，常会给机器翻译系统带来诸多挑战。本研究强调，将语用能力融入AI算法，对提升翻译准确性与语境适配性至关重要。研究结果显示，整合语用建模与语境解读机制，可显著提升AI驱动的翻译工具及数字语言处理系统的性能表现。