Profiles of dysfluency and errors in classroom discourse among children with language impairment

Peets, Kathleen F.

doi:10.1016/j.jcomdis.2008.10.005

Cited by 21 publications

(6 citation statements)

References 29 publications

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“…However, all of these studies used a naturalistic approach in which evidence of monitoring ability was derived from children's spontaneous speech at home or in the classroom (e.g., Evans, 1985;Peets, 2009). Very few studies have used a structured task to investigate children's ability to monitor their speech.…”

Section: Introductionmentioning

confidence: 99%

Did I say dog or cat? A study of semantic error detection and correction in children

Hanley

Cortis

Budd

et al. 2016

Journal of Experimental Child Psychology

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While naturalistic studies of spontaneous speech suggest that young children can monitor their speech, the mechanisms for detection and correction of speech errors in children are not well understood. In particular, there is little research on monitoring semantic errors in this population. This study provides a systematic investigation of detection and correction of semantic errors in children between the ages of 5 and 8, as they produced sentences to describe simple visual events involving nine highly familiar animals (the moving animals task). Results showed that older children made fewer errors and corrected a larger proportion of the errors that they made than younger children. We then tested the prediction of a production-based account of error monitoring that the strength of the language production system, and specifically its semantic-lexical component, should be correlated with the ability to detect and repair semantic errors. Strength of semantic-lexical mapping, as well as lexical-phonological mapping, was estimated individually for children by fitting their error patterns, obtained from an independent picture naming task, to a computational model of language production (Foygel & Dell, 2000). Children's picture naming performance was predictive of 3 their ability to monitor their semantic errors, above and beyond age. This relationship was specific to the strength of the semantic-lexical part of the system, as predicted by the production-based monitor.

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Section: Introductionmentioning

confidence: 99%

Did I say dog or cat? A study of semantic error detection and correction in children

Hanley

Cortis

Budd

et al. 2016

Journal of Experimental Child Psychology

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“…The difficulty related to content would really be more expected in the population with SLI, because it presents lower domain of language rules in its several linguistic aspects (12)(13)(14) .…”

Section: Discussionmentioning

confidence: 99%

“…Effectively, a higher rate of speech disfluencies is associated with children with SLI, because they would require more time to plan and formulate sentences. A low level of automaticity to formulate the language is also attributed to them as a result of the delay to domain certain grammatical forms, which would also lead to the higher incidence of word repetition in their discourse (13,14) .…”

Section: Introductionmentioning

confidence: 99%

“…An essential aspect to be considered is that speech disfluencies tend to reduce with age in children with typical development, because they only occur in longer and syntactically more complex segments (16) . However, because children with SLI present strong difficulties in more complex linguistic tasks, such as narratives, there may be an increasing occurrence of speech disfluencies in this type of linguistic activity, even if they produce shorter, less cohesive narratives, with semantic, morphological, and syntactic errors (14,17) .…”

Section: Introductionmentioning

confidence: 99%

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School-age children with specific language impairment produce more speech disfluencies than their peers

Befi-Lopes

Cáceres-Assenço

Marques

et al. 2014

CoDAS

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“…less repetition of words or more diverse language forms). Furthermore, TTR has been used to measure semantic complexity in children (Peets, 2009); normal adults (Silverman, 1977) and adults with mental disorder and neurological injury (Manschreck et al, 1985). …”

Section: 0 Methodsmentioning

confidence: 99%

Vocal acoustic analysis as a biometric indicator of information processing: Implications for neurological and psychiatric disorders

Cohen

Dinzeo

Donovan

et al. 2015

Psychiatry Research

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Vocal expression reflects an integral component of communication that varies considerably within individuals across contexts and is disrupted in a range of neurological and psychiatric disorders. There is reason to suspect that variability in vocal expression reflects, in part, the availability of “on-line” resources (e.g., working memory, attention). Thus, understanding vocal expression is a potentially important biometric index of information processing, not only across but within individuals over time. A first step in this line of research involves establishing a link between vocal expression and information processing systems in healthy adults. The present study employed a dual attention experimental task where participants provided natural speech while simultaneously engaged in a baseline, medium or high nonverbal processing-load task. Objective, automated, computerized analysis was employed to measure vocal expression in 226 adults. Increased processing load resulted in longer pauses, fewer utterances, greater silence overall and less variability in frequency and intensity levels. These results provide compelling evidence of a link between information processing resources and vocal expression, and provide important information for the development of an automated, inexpensive and uninvasive biometric measure of information processing.

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Profiles of dysfluency and errors in classroom discourse among children with language impairment

Cited by 21 publications

References 29 publications

Did I say dog or cat? A study of semantic error detection and correction in children

Did I say dog or cat? A study of semantic error detection and correction in children

School-age children with specific language impairment produce more speech disfluencies than their peers

Vocal acoustic analysis as a biometric indicator of information processing: Implications for neurological and psychiatric disorders

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