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Finding words and word structure in artificial speech: the development of infants' sensitivity to morphosyntactic regularities*

Published online by Cambridge University Press:  10 October 2014

ERIKA MARCHETTO  and
LUCA L. BONATTI
ERIKA MARCHETTO
Affiliation:
SISSA/ISAS, Trieste, Italy Laboratoire de Sciences Cognitives et Psycholinguistique (LSCP), Ecole Normale Supérieure, Paris, France
LUCA L. BONATTI*
Affiliation:
ICREA and Universitat Pompeu Fabra, Centre for Brain and Cognition, Barcelona, Spain
*
Address for correspondence: Luca L. Bonatti, ICREA and Universitat Pompeu Fabra, C. Roc Boronat, 138, Edifici Tanger, 55.110, 08018 Barcelona, ES. e-mail: [email protected]
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Abstract

To achieve language proficiency, infants must find the building blocks of speech and master the rules governing their legal combinations. However, these problems are linked: words are also built according to rules. Here, we explored early morphosyntactic sensitivity by testing when and how infants could find either words or within-word structure in artificial speech snippets embodying properties of morphological constructions. We show that 12-month-olds use statistical relationships between syllables to extract words from continuous streams, but find word-internal regularities only if the streams are segmented. Seven-month-olds fail both tasks. Thus, 12-month-olds infants possess the resources to analyze the internal composition of words if the speech contains segmentation information. However, 7-month-old infants may not possess them, although they can track several statistical relations. This developmental difference suggests that morphosyntactic sensitivity may require computational resources extending beyond the detection of simple statistics.

Type
Articles
Information
Journal of Child Language , Volume 42 , Issue 4 , July 2015 , pp. 873 - 902
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Copyright
Copyright © Cambridge University Press 2014 

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Footnotes

[*]

This work was supported by grants PSI2012-31961 and FVG ‘PsyScope XL’ to L.L.B, and by the Fyssen Foundation Grant to E.M. We thank A. Isaja, L. Filippin, F. Gandolfo, M. Sjekloca, K. Brink, N. Sebastián Gallés, A. Endress, K. Mehta, and J.M. Toro for scientific discussions and technical support.

References

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