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Related Experiment Video

Updated: Jan 4, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Input Complexity Affects Long-Term Retention of Statistically Learned Regularities in an Artificial Language Learning

Ethan Jost1, Katherine Brill-Schuetz2, Kara Morgan-Short2

  • 1Department of Psychology, Cornell University, Ithaca, NY, United States.

Frontiers in Human Neuroscience
|November 5, 2019
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Summary

Statistical learning (SL) aids language acquisition by detecting environmental patterns. Simplified training improves learning and retention of these statistical regularities over two weeks.

Keywords:
artificial language learningmemoryretentionsecond language learningstatistical learning

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Artificial Language Learning

Background:

  • Statistical learning (SL) is crucial for cognitive functions, including language acquisition.
  • The long-term retention of statistically learned information remains poorly understood.
  • Investigating how learners preserve environmental regularities over time is essential.

Purpose of the Study:

  • To assess the long-term retention of statistical learning in an artificial second language.
  • To determine the impact of training input complexity on learning and retention.
  • To examine how learners utilize learned regularities over time.

Main Methods:

  • An artificial second language (Brocanto2) learning task was employed.
  • Participants were divided into two groups: simplified (20% complex items) and complex (80% complex items) training.
  • Performance was evaluated immediately after training and at a 2-week follow-up session.
  • Generalized linear mixed-effects models (GLMM) analyzed stimulus properties and endorsement strategies.

Main Results:

  • Participants demonstrated learning and retention of artificial language regularities over two weeks.
  • Simplified training input led to superior learning and retention compared to complex input.
  • Learners in the complex condition relied more on chunk strength than those in the simple condition.

Conclusions:

  • Statistically learned grammatical regularities are retained over a two-week period.
  • Training with simplified input enhances both the learning and retention of these regularities.
  • The complexity of training data significantly influences learning strategies and outcomes.