Child-directed speech is optimized for syntax-free semantic inference

Abstract The way infants learn language is a highly complex adaptive behavior. This behavior chiefly relies on the ability to extract information from the speech they hear and combine it with information from the external environment. Most theories assume that this ability critically hinges on the r...

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Autores principales: Guanghao You, Balthasar Bickel, Moritz M. Daum, Sabine Stoll
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/15242f33711f44ffbf12ceface091968
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spelling oai:doaj.org-article:15242f33711f44ffbf12ceface0919682021-12-02T18:51:52ZChild-directed speech is optimized for syntax-free semantic inference10.1038/s41598-021-95392-x2045-2322https://doaj.org/article/15242f33711f44ffbf12ceface0919682021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95392-xhttps://doaj.org/toc/2045-2322Abstract The way infants learn language is a highly complex adaptive behavior. This behavior chiefly relies on the ability to extract information from the speech they hear and combine it with information from the external environment. Most theories assume that this ability critically hinges on the recognition of at least some syntactic structure. Here, we show that child-directed speech allows for semantic inference without relying on explicit structural information. We simulate the process of semantic inference with machine learning applied to large text collections of two different types of speech, child-directed speech versus adult-directed speech. Taking the core meaning of causality as a test case, we find that in child-directed speech causal meaning can be successfully inferred from simple co-occurrences of neighboring words. By contrast, semantic inference in adult-directed speech fundamentally requires additional access to syntactic structure. These results suggest that child-directed speech is ideally shaped for a learner who has not yet mastered syntactic structure.Guanghao YouBalthasar BickelMoritz M. DaumSabine StollNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Guanghao You
Balthasar Bickel
Moritz M. Daum
Sabine Stoll
Child-directed speech is optimized for syntax-free semantic inference
description Abstract The way infants learn language is a highly complex adaptive behavior. This behavior chiefly relies on the ability to extract information from the speech they hear and combine it with information from the external environment. Most theories assume that this ability critically hinges on the recognition of at least some syntactic structure. Here, we show that child-directed speech allows for semantic inference without relying on explicit structural information. We simulate the process of semantic inference with machine learning applied to large text collections of two different types of speech, child-directed speech versus adult-directed speech. Taking the core meaning of causality as a test case, we find that in child-directed speech causal meaning can be successfully inferred from simple co-occurrences of neighboring words. By contrast, semantic inference in adult-directed speech fundamentally requires additional access to syntactic structure. These results suggest that child-directed speech is ideally shaped for a learner who has not yet mastered syntactic structure.
format article
author Guanghao You
Balthasar Bickel
Moritz M. Daum
Sabine Stoll
author_facet Guanghao You
Balthasar Bickel
Moritz M. Daum
Sabine Stoll
author_sort Guanghao You
title Child-directed speech is optimized for syntax-free semantic inference
title_short Child-directed speech is optimized for syntax-free semantic inference
title_full Child-directed speech is optimized for syntax-free semantic inference
title_fullStr Child-directed speech is optimized for syntax-free semantic inference
title_full_unstemmed Child-directed speech is optimized for syntax-free semantic inference
title_sort child-directed speech is optimized for syntax-free semantic inference
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/15242f33711f44ffbf12ceface091968
work_keys_str_mv AT guanghaoyou childdirectedspeechisoptimizedforsyntaxfreesemanticinference
AT balthasarbickel childdirectedspeechisoptimizedforsyntaxfreesemanticinference
AT moritzmdaum childdirectedspeechisoptimizedforsyntaxfreesemanticinference
AT sabinestoll childdirectedspeechisoptimizedforsyntaxfreesemanticinference
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