Verbal working memory, long-term knowledge, and statistical learning

• 齊藤, 智

  Graduate School of Education, Kyoto University

• Nakayama, Masataka

  Kokoro Research Center, Kyoto University

• Tanida, Yuki

  United Graduate School of Child Development, Osaka University

抄録

Evidence supporting the idea that serial-order verbal working memory is underpinned by long-term knowledge has accumulated over more than half a century. Recent studies using natural-language statistics, artificial statistical-learning techniques, and the Hebb repetition paradigm have revealed multiple types of long-term knowledge underlying serial-order verbal working memory performance. These include (a) element-to-element association knowledge, which slowly accumulates through extensive exposure to an exemplar; (b) position–element knowledge, which is acquired through several encounters with an exemplar; and (c) whole-sequence knowledge, which is captured by the Hebb repetition paradigm and acquired rapidly with a few repetitions. Arguably, the first two are a basis for fluent and efficient language usage, and the third is a basis for vocabulary learning. Thus, statistical-learning mechanisms (and possibly episodic-learning mechanisms) may form the foundation of language acquisition and language processing, which characterize linguistic long-term knowledge for verbal working memory.

収録刊行物

• Current Directions in Psychological Science

  Current Directions in Psychological Science 29 (4), 340-345, 2020-08-01

  SAGE Publications

キーワード

• working memory
• statistical learning
• Hebb repetition effect
• long-term memory

詳細情報

• CRID: 1050566774891710592
• NII論文ID: 120006877402
• ISSN: 09637214
• ISSN: 14678721
• DOI: 10.1177/0963721420920383
• HANDLE: 2433/253702
• Web Site: http://journals.sagepub.com/doi/pdf/10.1177/0963721420920383
• Web Site: http://journals.sagepub.com/doi/full-xml/10.1177/0963721420920383
• 本文言語コード: en
• 資料種別: journal article
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