Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
© 2019 Most current accounts of language comprehension agree on a role for prediction, but they disagree on the importance of domain-general executive resources in predictive behavior. In this opinion piece, we briefly review the evidence for linguistic prediction, and the findings that have been us...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/138410 |
| _version_ | 1826208028771221504 |
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| author | Ryskin, Rachel Levy, Roger P Fedorenko, Evelina |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Ryskin, Rachel Levy, Roger P Fedorenko, Evelina |
| author_sort | Ryskin, Rachel |
| collection | MIT |
| description | © 2019 Most current accounts of language comprehension agree on a role for prediction, but they disagree on the importance of domain-general executive resources in predictive behavior. In this opinion piece, we briefly review the evidence for linguistic prediction, and the findings that have been used to argue that prediction draws on domain-general executive resources. The most compelling evidence is an apparent reduction in predictive behavior during language comprehension in populations with lower executive resources, such as children, older adults, and second language (L2) learners. We propose that these between-population differences can be explained without invoking executive resources. Instead, differences in the quantity and kind of language experience that these populations bring to bear may affect the probability of engaging in predictive behavior, or simply make prediction effects more difficult to detect in paradigms designed for young adult native speakers. Thus, domain-specific prediction mechanisms remain a viable possibility. We discuss ways to further test accounts of linguistic prediction that do vs. do not require domain-general executive resources, using behavioral, computational, and brain imaging approaches. |
| first_indexed | 2024-09-23T13:59:16Z |
| format | Article |
| id | mit-1721.1/138410 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:59:16Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1384102023-06-21T18:44:03Z Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward Ryskin, Rachel Levy, Roger P Fedorenko, Evelina Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT © 2019 Most current accounts of language comprehension agree on a role for prediction, but they disagree on the importance of domain-general executive resources in predictive behavior. In this opinion piece, we briefly review the evidence for linguistic prediction, and the findings that have been used to argue that prediction draws on domain-general executive resources. The most compelling evidence is an apparent reduction in predictive behavior during language comprehension in populations with lower executive resources, such as children, older adults, and second language (L2) learners. We propose that these between-population differences can be explained without invoking executive resources. Instead, differences in the quantity and kind of language experience that these populations bring to bear may affect the probability of engaging in predictive behavior, or simply make prediction effects more difficult to detect in paradigms designed for young adult native speakers. Thus, domain-specific prediction mechanisms remain a viable possibility. We discuss ways to further test accounts of linguistic prediction that do vs. do not require domain-general executive resources, using behavioral, computational, and brain imaging approaches. 2021-12-09T19:38:34Z 2021-12-09T19:38:34Z 2020 2021-12-09T19:33:55Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/138410 Ryskin, Rachel, Levy, Roger P and Fedorenko, Evelina. 2020. "Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward." Neuropsychologia, 136. en 10.1016/J.NEUROPSYCHOLOGIA.2019.107258 Neuropsychologia Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Prof. Fedorenko |
| spellingShingle | Ryskin, Rachel Levy, Roger P Fedorenko, Evelina Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title | Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title_full | Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title_fullStr | Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title_full_unstemmed | Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title_short | Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward |
| title_sort | do domain general executive resources play a role in linguistic prediction re evaluation of the evidence and a path forward |
| url | https://hdl.handle.net/1721.1/138410 |
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