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Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. In the curre...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961654/ https://www.ncbi.nlm.nih.gov/pubmed/33136519 http://dx.doi.org/10.1177/1745691620953082 |
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author | Bogaerts, Louisa Siegelman, Noam Frost, Ram |
author_facet | Bogaerts, Louisa Siegelman, Noam Frost, Ram |
author_sort | Bogaerts, Louisa |
collection | PubMed |
description | Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. In the current article, we provide a critical review of studies testing SL abilities in participants with and without developmental dyslexia and specific language impairment and discuss the directions that this field of research has taken so far. We identify substantial vagueness in the demarcation lines between different theoretical constructs (e.g., “statistical learning,” “implicit learning,” and “procedural learning”) as well as in the mappings between experimental tasks and these theoretical constructs. Moreover, we argue that current studies are not designed to contrast different theoretical approaches but rather test singular confirmatory predictions without including control tasks showing normal performance. We end by providing concrete suggestions for how to advance research on SL deficits in language impairments. |
format | Online Article Text |
id | pubmed-7961654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-79616542021-03-30 Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts Bogaerts, Louisa Siegelman, Noam Frost, Ram Perspect Psychol Sci Article Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. In the current article, we provide a critical review of studies testing SL abilities in participants with and without developmental dyslexia and specific language impairment and discuss the directions that this field of research has taken so far. We identify substantial vagueness in the demarcation lines between different theoretical constructs (e.g., “statistical learning,” “implicit learning,” and “procedural learning”) as well as in the mappings between experimental tasks and these theoretical constructs. Moreover, we argue that current studies are not designed to contrast different theoretical approaches but rather test singular confirmatory predictions without including control tasks showing normal performance. We end by providing concrete suggestions for how to advance research on SL deficits in language impairments. SAGE Publications 2020-11-02 2021-03 /pmc/articles/PMC7961654/ /pubmed/33136519 http://dx.doi.org/10.1177/1745691620953082 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Bogaerts, Louisa Siegelman, Noam Frost, Ram Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title | Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title_full | Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title_fullStr | Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title_full_unstemmed | Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title_short | Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts |
title_sort | statistical learning and language impairments: toward more precise theoretical accounts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961654/ https://www.ncbi.nlm.nih.gov/pubmed/33136519 http://dx.doi.org/10.1177/1745691620953082 |
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