Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Cultural Transmission Promotes the Emergence of Statistical Properties That Support Language Learning

Dados Bibliográficos

ID7150367
AutoresLucie Wolters (0009-0003-7346-9037, Department of Cognitive and Brain Sciences Hebrew University of Jerusalem, autor correspondente), Simon Kirby (0000-0002-6496-1340, Centre for Language Evolution, School of Philosophy, Psychology & Language Sciences University of Edinburgh), Inbal Arnon (0000-0001-8934-718X, Department of Psychology Hebrew University of Jerusalem)
Ano2025
Volume49
Fascículo12
Páginase70153-e70153
Data de publicação2025-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCognitive Science (JOURNAL)
Identificadores do periódicoISSN: 0364-0213 • E-ISSN: 1551-6709
EditoraWiley (PUBLISHER • GB)
DOI10.1111/cogs.70153
PMID41456931
OpenAlexW7117457244
IdiomaEN
Citações recebidas1
Referências citadas60

Language is passed across generations through cultural transmission. Prior experimental work, where participants reproduced sets of non‐linguistic sequences in transmission chains, shows that this process gives rise to two characteristic statistical properties of language that enhance its learnability: the statistical coherence of words and the Zipfian distribution of word frequencies. In this study, we extend this work in three ways. First, we replicate and strengthen previous findings using a browser‐based experimental procedure with a smaller dataset, demonstrating the robustness of these findings and creating a methodological platform for future research. Second, we show that learners are sensitive to the sequence information that emerges through cultural transmission by showing that reaction times are faster for higher transitional probabilities. These findings suggest that the learning of fine‐grained sequence information drives the emergence of statistically coherent units with a Zipfian frequency distribution. Third, we ask whether another cross‐linguistic property of language, Zipf's law of Abbreviation, emerges over cultural transmission. We find that the law is present in the sets produced by participants but that it does not evolve over transmission. We discuss how these findings support the proposal that production pressures alone may be sufficient to explain the consistently weak frequency–length correlation observed in natural language

Cultural transmission in animals · Human language · Information transmission · Language acquisition · Replicate · Word lists by frequency · Zipf's law · Animal Vocal Communication and Behavior · Language and cultural evolution · Language Development and Disorders

  • Children's narrow learning bottleneck accelerates the emergence of statistical properties of language

    Open Access•Lucie Wolters, Simon Kirby et al.•Cognition•2026

  • Universality and diversity in human song

    Open Access•Samuel A Mehr, Manvir Singh et al.•Science•2019

  • Infant Statistical Learning

    Open Access•Jenny Saffran, Jenny R Saffran et al.•Annual Review of Psychology•2018

  • Word lengths are optimized for efficient communication

    Open Access•Steven T Piantadosi, Harry Tily et al.•Proceedings of the National…•2011

  • The Now-or-Never bottleneck

    Open Access•Morten H Christiansen, Nick Chater•Behavioral and Brain Sciences•2016

  • Power-Law Distributions in Empirical Data

    Aaron Clauset, Cosma Rohilla Shalizi et al.•SIAM Review•2009

  • Fitting Linear Mixed-Effects Models Using lme4

    Open Access•David M Bates, Douglas Bates et al.•Journal of Statistical Software•2015

  • Statistical Learning by 8-Month-Old Infants

    Open Access•Jenny Saffran, Jenny R Saffran et al.•Science•1996

  • Zipfian Distributions in Child-Directed Speech

    Open Access•Ori Lavi-Rotbain, Inbal Arnon•Open MIND•2023

  • From improvisation to learning

    Open Access•Yasamin Motamedi, Lucie Wolters et al.•Cognition•2022

  • Skewed distributions facilitate infants' word segmentation

    Open Access•Lucie Wolters, Mitsuhiko Ota et al.•Cognition•2025

  • The learnability consequences of Zipfian distributions in language

    Open Access•Ori Lavi-Rotbain, Inbal Arnon•Cognition•2022

  • Iterated learning reveals stereotypes of facial trustworthiness that propagate in the absence of evidence

    Open Access•Stefan Uddenberg, Bill D Thompson et al.•Cognition•2023

  • Zipfian distributions facilitate children's learning of novel word-referent mappings

    Open Access•Lucie Wolters, Ori Lavi-Rotbain et al.•Cognition•2024

  • Visual statistical learning is facilitated in Zipfian distributions

    Open Access•Ori Lavi-Rotbain, Inbal Arnon•Cognition•2021

  • Lexically-based learning and early grammatical development

    Open Access•Elena Lieven, Elena V M Lieven et al.•Journal of Child Language•1997

  • The Starting Big approach to language learning

    Open Access•Inbal Arnon•Journal of Child Language•2021

  • Compression and communication in the cultural evolution of linguistic structure

    Open Access•Simon Kirby, Monica Tamariz et al.•Cognition•2015

  • Evidence of Zipfian distributions in three sign languages

    Open Access•Inbal Kimchi, Lucie Wolters et al.•Gesture•2023

  • A Compression-based Algorithm for Chinese Word Segmentation

    Open Access•William J Teahan, Yingying Wen et al.•Computational Linguistics•2000

  • Word Segmentation Cues in German Child-Directed Speech

    Open Access•Kieran Stark, Evan Kidd et al.•Language and Speech•2022

  • Emergence of combinatorial structure and economy through iterated learning with continuous acoustic signals

    Open Access•Tessa Verhoef, Simon Kirby et al.•Journal of Phonetics•2014

Obras citantes distintas1
Citações por ano1
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae