The Discursive Characteristics of LLMs in the Generation of New Texts

LLMs are penetrating increasingly deeply into everyday use. However, the differences between the linguistic mechanisms of LLMs and natural human text processing processes have not well thoroughly investigated, which prevents LLMs from being used in the most efficient way. The aim of this paper is to analyze the linguistic functioning of LLMs and to determine the discourse specific characteristics of machine processing. In this paper, several methods are being applied, i.e., an experimental method, computer and linguistic analysis, as well as quantitative methods for the statistical analysis and the interpretation of linguistic text characteristics. The research materials include the Brown linguistic corpus of human texts and the corpora of artificially generated texts, using Claude Sonnet 3.7 and Grok-3. The paper finds differences in the mechanisms of language processing between neural networks and humans, i.e., the peculiarities of the use of discursive markers and characteristic linguistic parameters that LLMs do not reproduce.