This article provides an in-depth theoretical and comparative analysis of the linguistic, cognitive, and pragmatic characteristics of texts generated by artificial intelligence (AI) in comparison to real human speech. It explains, from a scientific perspective, how features such as lexical normalization, semantic neutrality, repetitiveness, stylistic smoothness, discursive uniformity, and semantic safety arise in AI-generated texts due to the use of Transformer architectures, probabilistic language models, and statistical generation mechanisms. Differences between AI-generated texts and human speech are examined using examples from English and Uzbek, with particular attention to human cognitive creativity, context-building ability, cultural implicatures, and emotional intonation. The findings have practical significance for AI-detection systems, media text quality assessment, ensuring academic integrity, and improving the efficiency of translation systems.
| Mualliflar | Fayzieva, Nilufar, Файзиева, Нилуфар, Fayziyeva, Nilufar |
|---|---|
| Jurnal | Хорижий лингвистика ва лингводидактика |
| Nashr sanasi | 2025-11-15 |
| Jild | 3 |
| Son | 6 |
| Betlar | 29-34 |
| Til | O‘zbek |
| DOI | 10.47689/2181-3701-vol3-iss6-pp29-34 |
DOI: 10.47689/2181-3701-vol3-iss6-pp29-34 · Maqolaning asl sahifasi
LLM, языковая модель, лингвистика, ИИ-текст, человеческая речь, прагматика, дискурс, лингвоэнергетика, когнитивная лингвистика, архитектура Transformer., искусственный интеллект, LLM, til modeli, lingvistika, SI-matn, inson nutqi, pragmatika, diskurs, lingvoenergetika, kognitiv tilshunoslik, transformer arxitektura., sun'iy intellekt, artificial intelligence, LLM, language model, linguistics, AI-generated text, human speech, pragmatics, discourse, linguo-energetics, cognitive linguistics, Transformer architecture
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