Simple stochastic processes behind Menzerath’s Law

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F25%3A10507826" target="_blank" >RIV/00216208:11210/25:10507826 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1075/cilt.370.04mil" target="_blank" >https://doi.org/10.1075/cilt.370.04mil</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1075/cilt.370.04mil" target="_blank" >10.1075/cilt.370.04mil</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simple stochastic processes behind Menzerath’s Law

Popis výsledku v původním jazyce

This paper revisits Menzerath&apos;s Law, also known as the Menzerath-Altmann Law, which models a relationship between the length of a linguistic construct and the average length of its constituents. Recent findings indicate that simple stochastic processes can display Menzerathian behaviour, though existing models fail to accurately reflect real-world data.If we adopt the basic principle that a word can change its length in both syllables and phonemes, where the correlation between these variables is not perfect and these changes are of a multiplicative nature, we get a bivariate log-normal distribution. The present paper shows, that from this very simple principle, we obtain the classic Altmann model of the Menzerath-Altmann Law.If we model the joint distribution separately and independently from the marginal distributions, we can obtain an even more accurate model by using a Gaussian copula. The models are confronted with empirical data, and alternative approaches are discussed.

Název v anglickém jazyce

Simple stochastic processes behind Menzerath’s Law

Popis výsledku anglicky

This paper revisits Menzerath&apos;s Law, also known as the Menzerath-Altmann Law, which models a relationship between the length of a linguistic construct and the average length of its constituents. Recent findings indicate that simple stochastic processes can display Menzerathian behaviour, though existing models fail to accurately reflect real-world data.If we adopt the basic principle that a word can change its length in both syllables and phonemes, where the correlation between these variables is not perfect and these changes are of a multiplicative nature, we get a bivariate log-normal distribution. The present paper shows, that from this very simple principle, we obtain the classic Altmann model of the Menzerath-Altmann Law.If we model the joint distribution separately and independently from the marginal distributions, we can obtain an even more accurate model by using a Gaussian copula. The models are confronted with empirical data, and alternative approaches are discussed.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

MATHEMATICAL MODELLING IN LINGUISTICS AND TEXT ANALYSIS

ISBN

978-90-272-2837-6

Počet stran výsledku

17

Strana od-do

43-59

Počet stran knihy

241

Název nakladatele

John Benjamins

Místo vydání

Amsterdam

Kód UT WoS kapitoly

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