Long-term associative learning predicts verbal short-term memory performance. Jones, G. & Macken, B. Memory & Cognition, 46(2):216–229, 2018.
doi  abstract   bibtex   
Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory system separate from long-term knowledge. Using natural language corpora, we show experimentally and computationally that performance on three widely used measures of short-term memory (digit span, nonword repetition, and sentence recall) can be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed. The findings support the broad view that short-term verbal memory performance reflects the application of long-term language knowledge to the experimental setting.
@Article{Jones2018,
  author   = {Jones, Gary and Macken, Bill},
  journal  = {Memory {\&} Cognition},
  title    = {Long-term associative learning predicts verbal short-term memory performance},
  year     = {2018},
  issn     = {1532-5946},
  number   = {2},
  pages    = {216--229},
  volume   = {46},
  abstract = {Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory system separate from long-term knowledge. Using natural language corpora, we show experimentally and computationally that performance on three widely used measures of short-term memory (digit span, nonword repetition, and sentence recall) can be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed. The findings support the broad view that short-term verbal memory performance reflects the application of long-term language knowledge to the experimental setting.},
  day      = {01},
  doi      = {10.3758/s13421-017-0759-3},
}

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