Home > Research > Publications & Outputs > Learning to generalise but not segment an artif...

Research

Associated organisational units

Electronic data

Links

Text available via DOI:

Keywords

View graph of relations

Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later. / Monaghan, Padraic; Donnelly, Seamus; Alcock, Katie et al.
In: Cognitive Psychology, Vol. 147, No. 101607, 101607, 31.12.2023.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Monaghan, P, Donnelly, S, Alcock, K, Bidgood, A, Cain, K, Durrant, S, Frost, R, Jago, L, Peter, M, Pine, JM, Turnbull, H & Rowland, C 2023, 'Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later', Cognitive Psychology, vol. 147, no. 101607, 101607. https://doi.org/10.1016/j.cogpsych.2023.101607

APA

Monaghan, P., Donnelly, S., Alcock, K., Bidgood, A., Cain, K., Durrant, S., Frost, R., Jago, L., Peter, M., Pine, J. M., Turnbull, H., & Rowland, C. (2023). Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later. Cognitive Psychology, 147(101607), Article 101607. https://doi.org/10.1016/j.cogpsych.2023.101607

Vancouver

Monaghan P, Donnelly S, Alcock K, Bidgood A, Cain K, Durrant S et al. Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later. Cognitive Psychology. 2023 Dec 31;147(101607):101607. Epub 2023 Oct 7. doi: 10.1016/j.cogpsych.2023.101607

Author

Monaghan, Padraic ; Donnelly, Seamus ; Alcock, Katie et al. / Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later. In: Cognitive Psychology. 2023 ; Vol. 147, No. 101607.

Bibtex

@article{e2fa80ffad664c0e9ac44843d9856df4,
title = "Learning to generalise but not segment an artificial language at 17 months predicts children{\textquoteright}s language skills 3 years later",
abstract = "We investigated whether learning an artificial language at 17 months was predictive of children{\textquoteright}s natural language vocabulary and grammar skills at 54 months. Children at 17 months listened to an artificial language containing non-adjacent dependencies, and were then tested on their learning to segment and to generalise the structure of the language. At 54 months, children were then tested on a range of standardised natural language tasks that assessed receptive and expressive vocabulary and grammar. A structural equation model demonstrated that learning the artificial language generalisation at 17 months predicted language abilities – a composite of vocabulary and grammar skills – at 54 months, whereas artificial language segmentation at 17 months did not predict language abilities at this age. Artificial language learning tasks – especially those that probe grammar learning – provide a valuable tool for uncovering the mechanisms driving children{\textquoteright}s early language development.",
keywords = "Artificial language learning, Generalisation, Grammar, Non-adjacent dependencies, Segmentation, Vocabulary",
author = "Padraic Monaghan and Seamus Donnelly and Katie Alcock and Amy Bidgood and Kate Cain and Samantha Durrant and Rebecca Frost and Lana Jago and Michelle Peter and Pine, {Julian M.} and Heather Turnbull and Caroline Rowland",
year = "2023",
month = dec,
day = "31",
doi = "10.1016/j.cogpsych.2023.101607",
language = "English",
volume = "147",
journal = "Cognitive Psychology",
issn = "0010-0285",
publisher = "Academic Press Inc.",
number = "101607",

}

RIS

TY - JOUR

T1 - Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later

AU - Monaghan, Padraic

AU - Donnelly, Seamus

AU - Alcock, Katie

AU - Bidgood, Amy

AU - Cain, Kate

AU - Durrant, Samantha

AU - Frost, Rebecca

AU - Jago, Lana

AU - Peter, Michelle

AU - Pine, Julian M.

AU - Turnbull, Heather

AU - Rowland, Caroline

PY - 2023/12/31

Y1 - 2023/12/31

N2 - We investigated whether learning an artificial language at 17 months was predictive of children’s natural language vocabulary and grammar skills at 54 months. Children at 17 months listened to an artificial language containing non-adjacent dependencies, and were then tested on their learning to segment and to generalise the structure of the language. At 54 months, children were then tested on a range of standardised natural language tasks that assessed receptive and expressive vocabulary and grammar. A structural equation model demonstrated that learning the artificial language generalisation at 17 months predicted language abilities – a composite of vocabulary and grammar skills – at 54 months, whereas artificial language segmentation at 17 months did not predict language abilities at this age. Artificial language learning tasks – especially those that probe grammar learning – provide a valuable tool for uncovering the mechanisms driving children’s early language development.

AB - We investigated whether learning an artificial language at 17 months was predictive of children’s natural language vocabulary and grammar skills at 54 months. Children at 17 months listened to an artificial language containing non-adjacent dependencies, and were then tested on their learning to segment and to generalise the structure of the language. At 54 months, children were then tested on a range of standardised natural language tasks that assessed receptive and expressive vocabulary and grammar. A structural equation model demonstrated that learning the artificial language generalisation at 17 months predicted language abilities – a composite of vocabulary and grammar skills – at 54 months, whereas artificial language segmentation at 17 months did not predict language abilities at this age. Artificial language learning tasks – especially those that probe grammar learning – provide a valuable tool for uncovering the mechanisms driving children’s early language development.

KW - Artificial language learning

KW - Generalisation

KW - Grammar

KW - Non-adjacent dependencies

KW - Segmentation

KW - Vocabulary

U2 - 10.1016/j.cogpsych.2023.101607

DO - 10.1016/j.cogpsych.2023.101607

M3 - Journal article

VL - 147

JO - Cognitive Psychology

JF - Cognitive Psychology

SN - 0010-0285

IS - 101607

M1 - 101607

ER -