Mathematical Modelling in Linguistics and Text Alysis : Theory and applications

This book is a panorama of contemporary quantitative linguistics, as developed over decades. It highlights the main topics of QL: statistical laws of language, taxonomy of linguistic phenome, authorial attribution, quantitative alysis of syntax (e.g., dependency grammar), measurement of text difficulty, and other phenome at the intersection of linguistics, literary studies, semiotics, and information science. It also reflects on the relevance of these time-honoured approaches in our new reality increasingly domited by AI – both in terms of text material and methodology. Before our very eyes, computers are achieving human-level linguistic competence. The era of LLMs and the growing domince of machine-generated text is becoming reality. The scale of these changes, initiated by the replacement of print with the digital universe, is enormous. Today, linguistics is closer than ever to mathematics and computer science, and thus quantitatively-oriented linguists are particularly well-suited to address questions

about the boundary between humans and machines in scientific research. [Publisher's text]