In my thesis I focus on outlining the general structural, lexical, content-related and stylistic characteristics of texts generated by three different artificial intelligence models: ChatGPT, Copilot, and Gemini. In the theoretical section, I present the operating and limitations of contemporary generative AI models, introduce the models I use in the empirical section, outline the possibilities for the text-linguistic analysis of such texts and define my methodology. In the empirical part, using nine texts from the selected models as case studies, I investigate their macro- and micro-structural aspects, compare them both within individual models and across different models, and determine whether there are enough similarities among the texts to establish a distinct pattern.
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