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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Statistical learning in a natural language by 8-month-old infants
Bruna Pelucchi1, Jessica F Hay, Jenny R Saffran
1Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705, USA. plb@unife.it
Child Development
|June 4, 2009
Summary
Infants use statistical learning to understand language. This study shows 8-month-olds can track probabilities in unfamiliar natural speech, supporting robust real-world language acquisition.
Area of Science:
- Developmental Psychology
- Cognitive Science
- Linguistics
Background:
- Infants possess statistical language learning mechanisms.
- Evidence primarily from artificial languages and simplified syllables.
- Limited understanding of scaling to natural language.
Purpose of the Study:
- Investigate infants' ability to track transitional probabilities in natural speech.
- Determine if statistical learning applies to unfamiliar, fluent languages.
- Assess the robustness of statistical learning in real-world language acquisition.
Main Methods:
- Tested 8-month-old English-learning infants (N=72).
- Utilized fluent, infant-directed Italian speech stimuli.
- Analyzed infants' sensitivity to transitional probability cues.
Main Results:
- Infants demonstrated sensitivity to transitional probability cues.
- Results observed in unfamiliar natural language stimuli.
- Statistical learning mechanisms are robust for natural language.
Conclusions:
- Infants' statistical learning extends to natural language.
- Transitional probabilities are key cues in early language acquisition.
- Statistical learning robustly supports real-world language acquisition.
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