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Language experience changes subsequent learning
Affiliation:1. Department of Psychology, University of Wisconsin-Madison, 1202 W Johnson Street, Madison, WI 53706, USA;2. Department of Psychology, Princeton University, 220 Peretsman Scully Hall, Princeton, NJ 08540, USA;1. IDM/fMEG Center of the Helmholtz Center Munich at the University of Tübingen, University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany;2. Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tübingen, Tübingen, Germany;3. Western University, Department of Psychology, Brain and Mind Institute, London, ON, Canada;4. MEG Center, University of Tübingen, Tübingen, Germany;5. Center of Neurology, Department of Neurology and Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany;6. CIMeC, Center for Mind/Brain Sciences, University of Trento, Trento, Italy;7. Northwestern University, Department of Psychology, Evanston, IL, USA;8. Department of Internal Medicine IV, University Hospital of Tübingen, Tübingen, Germany;9. Department of Pharmacy and Biochemistry, Interfaculty Centre for Pharmacogenomics and Pharma Research, University of Tübingen, Tübingen, Germany
Abstract:What are the effects of experience on subsequent learning? We explored the effects of language-specific word order knowledge on the acquisition of sequential conditional information. Korean and English adults were engaged in a sequence learning task involving three different sets of stimuli: auditory linguistic (nonsense syllables), visual non-linguistic (nonsense shapes), and auditory non-linguistic (pure tones). The forward and backward probabilities between adjacent elements generated two equally probable and orthogonal perceptual parses of the elements, such that any significant preference at test must be due to either general cognitive biases, or prior language-induced biases. We found that language modulated parsing preferences with the linguistic stimuli only. Intriguingly, these preferences are congruent with the dominant word order patterns of each language, as corroborated by corpus analyses, and are driven by probabilistic preferences. Furthermore, although the Korean individuals had received extensive formal explicit training in English and lived in an English-speaking environment, they exhibited statistical learning biases congruent with their native language. Our findings suggest that mechanisms of statistical sequential learning are implicated in language across the lifespan, and experience with language may affect cognitive processes and later learning.
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