Discursive Configurations and Syntactic Constraints in Institutional Linguistic Systems

Abstract This article offers a bibliographic examination of recent theoretical approaches to the relationship between linguistic structure and artificial textual systems. Drawing from selected academic contributions across discourse analysis, syntactic theory, and computational linguistics, the study explores how institutional constraints shape the way language is interpreted when produced by non-human agents. Rather than focusing on semantic interpretation or technical implementation, the article emphasizes how formal configurations—such as syntactic patterning and discursive genre regularities—contribute to the construction of coherence and legitimacy in algorithmically generated texts. Through a comparative review of current literature, it identifies the growing relevance of grammar-based models in the critical evaluation of machine-mediated communication. The findings suggest a shift in focus from meaning-centered frameworks to structure-oriented methodologies, especially within educational and administrative language contexts.