"Phonotactic influences on short-term memory": Correction.

Gathercole, Susan E.; Frankish, Clive; Pickering, Susan J.; Peaker, Sarah

doi:10.1037/0278-7393.25.3.562

Cited by 8 publications

(4 citation statements)

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“…We argue, therefore, that our data are in line with the claim that verbal STM can be supported by general properties of the language system (e.g., Gathercole et al, 1999; as well as by specific characteristics of lexical representations (e.g., Gathercole et al, 2001;Romani et al, 2008;Roodenrys et al, 1994;Walker & Hulme, 1999). Such an influence of stored knowledge on verbal STM has been accounted for in a number of ways (as part of the working memory framework, Burgess & Hitch, 2005, 2006; in terms of redintegration, Hulme, Newton, Cowan, Stuart, & Brown, 1999;Hulme et al, 1997;Schweickert, 1993; and within the multiple-code hypothesis, Martin et al, 1999;Romani et al, 2008).…”

Section: Discussionsupporting

confidence: 90%

“…A number of studies have demonstrated that properties of stored lexical representations can support STM performance (e.g., Gathercole, Pickering, Hall, & Peaker, 2001;Roodenrys, Hulme, Alban, Ellis, & Brown, 1994;Walker & Hulme, 1999). Furthermore, more general properties of language (e.g., phonotactic frequency) have also been shown to benefit shortterm recall (Gathercole, Frankish, Pickering, & Peaker, 1999;Thorn, Gathercole, & Frankish, 2005).…”

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confidence: 99%

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The Relationship between Language Production and Verbal Short-Term Memory: The Role of Stress Grouping

Morgan

Edwards

Wheeldon

2014

Quarterly Journal of Experimental Psychology

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This study investigates the influence of stress grouping on verbal short-term memory (STM). English speakers show a preference to combine syllables into trochaic groups, both lexically and in continuous speech. In two serial recall experiments, auditory lists of nonsense syllables were presented with either trochaic (STRONG-weak) or iambic (weak-STRONG) stress patterns, or in monotone. The acoustic correlates that carry stress were also manipulated in order to examine the relationship between input and output processes during recall. In Experiment 1, stressed and unstressed syllables differed in intensity and pitch but were matched for spoken duration. Significantly more syllables were recalled in the trochaic stress pattern condition than in the iambic and monotone conditions, which did not differ. In Experiment 2, spoken duration and pitch were manipulated but intensity was held constant. No effects of stress grouping were observed, suggesting that intensity is a critical acoustic factor for trochaic grouping. Acoustic analyses demonstrated that speech output was not identical to the auditory input, but that participants generated correct stress patterns by manipulating acoustic correlates in the same way in both experiments. These data challenge the idea of a language-independent STM store and support the notion of separable phonological input and output processes.

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Section: Discussionsupporting

confidence: 90%

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confidence: 99%

The Relationship between Language Production and Verbal Short-Term Memory: The Role of Stress Grouping

Morgan

Edwards

Wheeldon

2014

Quarterly Journal of Experimental Psychology

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“…This is shown by the presence of a large number of psycholinguistic effects impacting the recall of item information, involving the different levels of language processing (phonological, lexical and semantic). At the sublexical, phonological level, it has been shown that verbal WM performance increases for nonwords containing high versus low phonotactic probability structures (Gathercole et al, 1999;Majerus et al, 2004Majerus et al, , 2012. Similarly, rhyming lists of items are characterized by less omission errors compared to non-rhyming lists (Fallon et al, 2005;Gupta et al, 2005).…”

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confidence: 99%

Semantic knowledge constrains the processing of serial order information in working memory.

Kowialiewski¹,

Gorin²,

Majerus³

2021

Journal of Experimental Psychology: Learning, Memory, and Cogni

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Long-term memory knowledge is considered to impact short-term maintenance of item information in working memory, as opposed to short-term maintenance of serial order information. Evidence supporting an impact of semantic knowledge on serial order maintenance remains weak. In the present study, we demonstrate that semantic knowledge can impact the processing of serial order information in a robust manner. Experiment 1 manipulated semantic relatedness effect by using semantic categories presented in subgroups of items (leaftreebranchcloudskyrain). This semantic grouping manipulation was compared to a temporal grouping manipulation whose impact on the processing of serial order information is wellestablished. Both the semantic and temporal grouping manipulations constrained the occurrence of serial order errors in a robust manner: when migrating to a non-target serial position, items tended to do so most of the time toward the position of a semantically related item or within the same temporal group. Critically, this impact of semantic knowledge on the pattern of migration errors was not observed anymore in Experiment 2, in which we broke-up the semantic groups, by presenting the semantically related items an interleaved fashion (leafcloudtreeskybranchrain). Both semantic and temporal grouping factors may reflect a general mechanism through which information is represented hierarchically. Alternatively, both factors could result from the syntactic and/or semantic regularities that naturally structure linguistic information.These results support models considering direct interactions between serial order and linguistic components of WM.

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“…vWM closely interacts with phonological, lexical, and semantic linguistic variables. At the sublexical/phonological level, this is illustrated by studies showing that nonwords containing structures of high phonotactic probability (i.e., high biphone frequencies) are associated with higher vWM performance than nonwords containing structures of low phonotactic probabilities (Gathercole, Frankish, Pickering, & Peaker, 1999;Majerus et al, 2004). Likewise, the lexical levels of representation have also been shown to impact vWM performance, with higher recall performance for words than nonwords (Brener, 1940;Hulme, Maughan, & Brown, 1991;Jefferies, Frankish, & Lambon Ralph, 2006a), and high-frequency words also leading to higher recall performance as compared to low frequency words (Hulme et al, 1997;Hulme, Stuart, Brown, & Morin, 2003;Poirier & Saint-Aubin, 1996;Watkins & Watkins, 1977).…”

Section: Introductionmentioning

confidence: 99%

Verbal working memory and linguistic long-term memory: Exploring the lexical cohort effect

Kowialiewski

Majerus

2019

Mem Cogn

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Numerous studies have shown that verbal working memory (vWM) performance is strongly influenced by linguistic knowledge, with items more familiar at sublexical, lexical, and/or semantic levels leading to higher vWM recall performance. Among the many different psycholinguistic variables whose impact on vWM has been studied, the lexical cohort effect is one of the few effects that has not yet been explored. The lexical cohort effect reflects the fact that words sharing their first phonemes with many other words (e.g. alcove, alligator, alcohol…) are typically responded to more slowly as compared to words sharing their first phonemes with a smaller number of words. In a pilot experiment (Experiment 1), we manipulated the lexical cohort effect in an immediate serial recall task and found no effect. Experiment 2 showed that, in a lexical decision task, participants responded more quickly to items stemming from small cohorts, showing that the material used in Experiment 1 allowed for a valid manipulation of the cohort effect. Experiment 3, using stimuli from Experiment 2 associated with maximal cohort effects during lexical decision, failed again to reveal a cohort effect in an immediate serial recall task. We argue that linguistic knowledge impacts vWM performance via continuous interactive activation within the linguistic system, which is not the case for the lexical cohort variable that may influence language processing only at the initial stages of stimulus activation.

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"Phonotactic influences on short-term memory": Correction.

Cited by 8 publications

References 0 publications

The Relationship between Language Production and Verbal Short-Term Memory: The Role of Stress Grouping

The Relationship between Language Production and Verbal Short-Term Memory: The Role of Stress Grouping

Semantic knowledge constrains the processing of serial order information in working memory.

Verbal working memory and linguistic long-term memory: Exploring the lexical cohort effect

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