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Infants' developing sensitivity to native language phonotactics: A meta-analysis

  • M. Sundara
  • , Z.L. Zhou
  • , C. Breiss
  • , H. Katsuda
  • , J. Steffman

Research output: Contribution to journal › Article › peer-review

Abstract

We used Bayesian modeling to aggregate experiments investigating infants' sensitivity to native language phonotactics. Our findings were based on data from 83 experiments on about 2000 infants learning 8 languages, tested using 4 different methods. Our results showed that, unlike with artificial languages, infants do exhibit sensitivity to native language phonotactic patterns in a lab setting. However, the exact developmental trajectory depends on the phonotactic pattern being tested. Before 8 months, infants tuned into non-local dependencies between vowels: specifically, vowel harmony. Between 8- and 10-months, infants demonstrated a consistent sensitivity to both local dependencies and non-local consonant dependencies. Sensitivity to non-local vowel dependencies that are not based on harmony emerged only after 10-months. These findings provide a benchmark for future experimental and computational research on the acquisition of phonotactics.
Original languageEnglish
Article number104993
JournalCognition
Volume221
Early online date22 Dec 2021
DOIs
Publication statusPublished - Apr 2022

Keywords / Materials (for Non-textual outputs)

  • Bayesian modeling
  • vowel harmony
  • infants
  • local dependencies
  • non-local dependencies
  • HPP
  • headturn preference procedure
  • CrI
  • credible interval

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