36.3424, Books: Mathematical Modelling in Linguistics and Text Analysis: Pawłowski, Embleton, Mačutek, and Xanthos (eds.) (2025)

[The LINGUIST List]

LINGUIST List: Vol-36-3424. Mon Nov 10 2025. ISSN: 1069 - 4875.

Subject: 36.3424, Books: Mathematical Modelling in Linguistics and Text Analysis: Pawłowski, Embleton, Mačutek, and Xanthos (eds.) (2025)

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Date: 05-Nov-2025
From: Karin Plijnaar [karin.plijnaar at benjamins.nl]
Subject: Mathematical Modelling in Linguistics and Text Analysis: Pawłowski, Embleton, Mačutek, and Xanthos (eds.) (2025)


Title: Mathematical Modelling in Linguistics and Text Analysis
Subtitle: Theory and applications
Series Title: Current Issues in Linguistic Theory   370
Publication Year: 2025

Publisher: John Benjamins
           http://www.benjamins.com/
Book URL: https://benjamins.com/catalog/cilt.370

Editor(s): Adam Pawłowski; Sheila Embleton; Jan Mačutek; Aris Xanthos

eBook ISBN:  9789027244482 Pages:  247 Price: Europe EURO 125.00
eBook ISBN:  9789027244482 Pages:  247 Price: U.K. £ 105.00
eBook ISBN:  9789027244482 Pages:  247 Price: U.S. $ 163.00
Hardback ISBN:  9789027228376 Pages:  247 Price: Europe EURO 125.00
Hardback ISBN:  9789027228376 Pages:  247 Price: Europe EURO 132.50
Hardback ISBN:  9789027228376 Pages:  247 Price: U.K. £ 105.00
Hardback ISBN:  9789027228376 Pages:  247 Price: U.S. $ 163.00

Abstract:

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 phenomena,
authorial attribution, quantitative analysis of syntax (e.g.,
dependency grammar), measurement of text difficulty, and other
phenomena 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
dominated 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 dominance 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.

Written In: English (eng)



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