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Updated: May 5, 2026

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Statistical learning of phonotactics by children can be affected by another statistical learning task
Peter T Richtsmeier1, Lisa Goffman2
1Communication Sciences and Disorders, Oklahoma State University, Stillwater, OK, USA.
Applied Psycholinguistics
|May 4, 2026
Summary
Children usually say frequent sounds better, but this study found an exception. When learning sounds after learning speech rhythm, children surprisingly produced less frequent sounds more accurately.
Area of Science:
- Child language acquisition
- Speech perception and production
- Statistical learning
Background:
- Children typically show a high-frequency advantage in producing phonotactic sequences.
- This advantage is often demonstrated using statistical learning paradigms.
- Prior research indicates familiarity with a sequence enhances its production accuracy.
Purpose of the Study:
- To investigate the high-frequency advantage in phonotactic sequence production.
- To explore potential exceptions to the high-frequency advantage.
- To examine the influence of prior statistical learning on subsequent learning.
Main Methods:
- Twenty-nine children aged 4-5 participated in two experiments: phonotactic statistical learning and prosodic contour statistical learning.
- The order of the experiments was randomized for different participants.
- Phonotactic sequence production accuracy was measured after familiarization with varying frequencies of sequences.
Main Results:
- Children who completed the phonotactic learning first showed the expected high-frequency advantage.
- Children who completed the phonotactic learning second exhibited an inverse effect, favoring low-frequency sequences.
- This suggests the order of statistical learning tasks can influence sequence production outcomes.
Conclusions:
- The typical high-frequency advantage in phonotactic learning is not universal and can be modulated by prior learning experiences.
- The order of statistical learning, specifically the preceding task (prosodic contours), can impact the high-frequency advantage.
- Further research into multistream statistical learning may illuminate the mechanisms behind this observed exception.

