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Related Experiment Video

Updated: Oct 8, 2025

Exploring Infant Sensitivity to Visual Language using Eye Tracking and the Preferential Looking Paradigm

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

Megha Sundara¹, Z L Zhou¹, Canaan Breiss¹

¹UCLA, Department of Linguistics, USA.

|December 25, 2021

Summary

This summary is machine-generated.

Infants show sensitivity to native language phonotactics, developing this ability over time. This research analyzed 83 experiments, providing insights into early language acquisition and phonotactic pattern recognition.

Keywords:

Bayesian modeling Infants Local dependencies Non-local dependencies Vowel harmony

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Published on: January 23, 2017

Area of Science:

Developmental Psychology
Linguistics
Cognitive Science

Background:

Infants' ability to perceive and learn language-specific sound patterns is crucial for language acquisition.
Previous research has yielded mixed results on infants' sensitivity to phonotactic patterns in laboratory settings.

Purpose of the Study:

To aggregate data from multiple experiments using Bayesian modeling to determine infants' sensitivity to native language phonotactics.
To investigate the developmental trajectory of this sensitivity across different phonotactic patterns and age groups.

Main Methods:

Bayesian modeling was employed to synthesize data from 83 experiments.
Data included approximately 2000 infants learning 8 different languages, tested via 4 distinct methodologies.

Main Results:

Infants demonstrate sensitivity to native language phonotactic patterns in a lab setting, contrasting with findings from artificial languages.
Sensitivity emerges at different developmental stages: vowel harmony before 8 months, local and non-local consonant dependencies between 8-10 months, and other non-local vowel dependencies after 10 months.

Conclusions:

Infants' phonotactic sensitivity is present and follows a pattern-specific developmental course.
These findings establish a benchmark for future research in phonotactic acquisition and computational modeling.