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On-line individual differences in statistical learning predict language processing
Journal article   Open access   Peer reviewed

On-line individual differences in statistical learning predict language processing

Jennifer B Misyak, Morten H Christiansen and J Bruce Tomblin
Frontiers in psychology, Vol.1, pp.31-31
2010
DOI: 10.3389/fpsyg.2010.00031
PMCID: PMC3153750
PMID: 21833201
url
https://doi.org/10.3389/fpsyg.2010.00031View
Published (Version of record) Open Access

Abstract

Considerable individual differences in language ability exist among normally developing children and adults. Whereas past research have attributed such differences to variations in verbal working memory or experience with language, we test the hypothesis that individual differences in statistical learning may be associated with differential language performance. We employ a novel paradigm for studying statistical learning on-line, combining a serial-reaction time task with artificial grammar learning. This task offers insights into both the timecourse of and individual differences in statistical learning. Experiment 1 charts the micro-level trajectory for statistical learning of nonadjacent dependencies and provides an on-line index of individual differences therein. In Experiment 2, these differences are then shown to predict variations in participants' on-line processing of long-distance dependencies involving center-embedded relative clauses. The findings suggest that individual differences in the ability to learn from experience through statistical learning may contribute to variations in linguistic performance.
statistical learning artificial grammar relative clauses serial-reaction time individual differences language processing

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