Modeling causes of language change and conservatism

This project uses game-theoretic and reinforcement learning models to explore the balance between causes of language change and conservatism, analyzing historical data from three West Germanic languages.

Subsidie
€ 1.172.500
2022

Projectdetails

Introduction

Universally, human language changes over time. One fundamental assumption about language change is that it originates at the level of an individual as a shift in frequencies with which a particular variant of linguistic expression is chosen over another.

Language Change Dynamics

Conceiving of language change as the loss of an equilibrium in a system of stochastically used grammatical options, a change presupposes an emerging disturbing factor or a cause. A change can then be viewed as an adaptation process whereby in a linguistic environment affected by a disturbing factor, a hitherto marginal grammatical option begins to create a certain communicative advantage and grows in frequency.

Expectations of Language Transition

We might then in principle expect a fast transition to the new variant in the speech of an individual, given the general learning abilities of humans. However, another fundamental property of language change is that it proceeds gradually over generations.

Conservative Factors

Therefore, there must be powerful conservative factors at play pushing against the communicative advantage presented by the new variant. It has been suggested that the contrast between the speed of learning projected based on an individual's cognitive abilities and the attested pace of language change may be due to the social aspect of language, whereby the communicative advantage of an innovation is balanced off by the necessity of group synchronization.

Open Questions

Since many social coordination tasks can be completed within an individual's lifetime, the question stands open which properties of language are responsible for a relatively slow group coordination when it comes to grammatical shifts.

Project Aim

This project aims at understanding, via game-theoretic and reinforcement learning modeling, the interplay between the causes of language change and conservatism. The models will be evaluated against the empirical material from three West Germanic languages, which includes creating a treebank of historical Dutch.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.172.500
Totale projectbegroting€ 1.172.500

Tijdlijn

Startdatum1-9-2022
Einddatum31-8-2027
Subsidiejaar2022

Partners & Locaties

Projectpartners

  • UNIVERSITEIT GENTpenvoerder

Land(en)

Belgium

Vergelijkbare projecten binnen European Research Council

ERC Advanced...

The actuation of sound change

This project investigates the cognitive, social, and phonetic factors driving sound change in languages by analyzing dialect pairs through speech imitation and computational modeling.

€ 2.468.550
ERC Advanced...

Phylogenies probing Grammar. Exploring morphosyntax at different scales of language change

PhylProGramm aims to enhance the reconstruction of language history by developing computational methods to analyze morphosyntactic properties and their evolutionary implications.

€ 2.499.925
ERC Consolid...

Memory access in language: how we store and retrieve linguistic information

This project aims to expand the application of a memory model in linguistics by linking it to theories of lexical, grammatical, and discourse knowledge, fostering a comprehensive understanding of memory's role in language.

€ 1.999.500
ERC Starting...

Linguistic Tuning Shifts in the Human Brain during Second Language Learning

LINGSHIFT aims to investigate dynamic cortical changes in semantic and syntactic representations during language learning using longitudinal brain imaging and predictive modeling to enhance language education.

€ 1.499.885
ERC Consolid...

Language geography and the dynamics of linguistic and population prehistory

The LANGUAGE REDUX project aims to uncover the factors preserving ancient linguistic distributions by combining historical evidence with spatial statistics and quantitative modeling.

€ 1.974.676

Vergelijkbare projecten uit andere regelingen

Mkb-innovati...

Onderzoek naar eigen taalmodellen in de GMU AI Digital Marketplace

GMU onderzoekt de ontwikkeling van een eigen LLaMa-taalmodel op basis van eigen data om een AI Digital Marketplace te creëren en de afhankelijkheid van internationale bedrijven te verminderen.

€ 20.000
Mkb-innovati...

FLS:Dutch

Het project onderzoekt de ontwikkeling van een flexibele app voor taalintegratie van migranten in Nederland, waarbij technologie en motivatie worden ingezet om succesvolle leerresultaten te behalen en fraude te voorkomen.

€ 20.000