Loading…

Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?

Recent research suggests that becoming a fluent reader may partially rely on a domain-general statistical learning (SL) mechanism that allows a person to automatically extract predictable patterns from the sensory input. The goal of the present study was to investigate a potential link between SL an...

Full description

Saved in:
Bibliographic Details
Published in:Journal of cognition 2024-05, Vol.7 (1), p.40-40
Main Authors: Gavard, Elisa, Ziegler, Johannes C
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c477t-6cb0d78b338aee864bfcf340ed54574f41260790059957c8db0ac3e76e2bfd663
container_end_page 40
container_issue 1
container_start_page 40
container_title Journal of cognition
container_volume 7
creator Gavard, Elisa
Ziegler, Johannes C
description Recent research suggests that becoming a fluent reader may partially rely on a domain-general statistical learning (SL) mechanism that allows a person to automatically extract predictable patterns from the sensory input. The goal of the present study was to investigate a potential link between SL and the ability to make linguistic predictions. All previous studies investigated quite general levels of reading ability rather than the dynamic process of making linguistic predictions. We thus used a recently developed predictive reading task, which consisted of having participants read aloud words that were preceded by either semantically or syntactically predictive contexts. To measure the componential nature of SL, we used a visual and an auditory SL task (VSL, ASL) and the classic serial reaction time task (SRT). General reading ability was assessed with a reading speed/comprehension test. The study was conducted online on a sample of 120 participants to make it possible to explore interindividual differences. The results showed only weak and sometimes even negative correlations between the various SL measures. ASL correlated positively and predicted general reading ability but neither semantic nor syntactic prediction effects. Similarly, one of the SRT measures was significantly associated with reading level and reading speed but not with linguistic prediction effects. In sum, there is little evidence that domain-general SL is a good predictor of people's ability to make domain-specific linguistic predictions. In contrast, SL shows a weak but significant association with general reading ability.
doi_str_mv 10.5334/joc.363
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_70e8b453207441c9930f37e5c0038e3e</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_70e8b453207441c9930f37e5c0038e3e</doaj_id><sourcerecordid>3054432326</sourcerecordid><originalsourceid>FETCH-LOGICAL-c477t-6cb0d78b338aee864bfcf340ed54574f41260790059957c8db0ac3e76e2bfd663</originalsourceid><addsrcrecordid>eNpVkV1LHDEUhkNpqWLFf1DmrvVi7UlOMsn0pizSqrDQ0q3XIZOcsbPMTmwyK_jvzToq9up88PDwwsvYCYczhSi_bKI_wxrfsEOhuFxII-Dtq_2AHee8AQDBlYAa37MDNBq14eaQ-TVt3Tj1vnJjqNb34-T8_vqVKPRli2Ou-rH6TS704021HOIufK2WiaqLGMMzFlOe7_Xkpj4XgRuqFbk0UsrfPrB3nRsyHT_NI3b94_uf88vF6ufF1flytfBS62lR-xaCNi2icUSmlm3nO5RAQUmlZSe5qEE3AKpplPYmtOA8kq5JtF2oazxiV7M3RLext6nfunRvo-vt4yOmG-tSyTaQ1UCmlQoFaCm5bxqEDjUpD4CGkIrrdHb9dcN_qsvlyu5_UDIJ4PqOF_bzzN6m-G9HebLbPnsaBjdS3GWLoKREgWIf8dOM-hRzTtS9uDnYfZm2lGlLmYX8-CTdtVsKL9xzdfgAvRuXIw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3054432326</pqid></control><display><type>article</type><title>Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?</title><source>PubMed Central</source><creator>Gavard, Elisa ; Ziegler, Johannes C</creator><creatorcontrib>Gavard, Elisa ; Ziegler, Johannes C</creatorcontrib><description>Recent research suggests that becoming a fluent reader may partially rely on a domain-general statistical learning (SL) mechanism that allows a person to automatically extract predictable patterns from the sensory input. The goal of the present study was to investigate a potential link between SL and the ability to make linguistic predictions. All previous studies investigated quite general levels of reading ability rather than the dynamic process of making linguistic predictions. We thus used a recently developed predictive reading task, which consisted of having participants read aloud words that were preceded by either semantically or syntactically predictive contexts. To measure the componential nature of SL, we used a visual and an auditory SL task (VSL, ASL) and the classic serial reaction time task (SRT). General reading ability was assessed with a reading speed/comprehension test. The study was conducted online on a sample of 120 participants to make it possible to explore interindividual differences. The results showed only weak and sometimes even negative correlations between the various SL measures. ASL correlated positively and predicted general reading ability but neither semantic nor syntactic prediction effects. Similarly, one of the SRT measures was significantly associated with reading level and reading speed but not with linguistic prediction effects. In sum, there is little evidence that domain-general SL is a good predictor of people's ability to make domain-specific linguistic predictions. In contrast, SL shows a weak but significant association with general reading ability.</description><identifier>ISSN: 2514-4820</identifier><identifier>EISSN: 2514-4820</identifier><identifier>DOI: 10.5334/joc.363</identifier><identifier>PMID: 38737818</identifier><language>eng</language><publisher>England: European Society for Cognitive Psychology</publisher><subject>Cognitive science ; context effect ; Life Sciences ; Linguistics ; Neurons and Cognition ; Psychology and behavior ; reading aloud ; semantic prediction ; statistical learning ; syntactic prediction</subject><ispartof>Journal of cognition, 2024-05, Vol.7 (1), p.40-40</ispartof><rights>Copyright: © 2024 The Author(s).</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c477t-6cb0d78b338aee864bfcf340ed54574f41260790059957c8db0ac3e76e2bfd663</cites><orcidid>0000-0001-5144-7767 ; 0000-0002-2061-5729</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38737818$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://amu.hal.science/hal-04572017$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Gavard, Elisa</creatorcontrib><creatorcontrib>Ziegler, Johannes C</creatorcontrib><title>Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?</title><title>Journal of cognition</title><addtitle>J Cogn</addtitle><description>Recent research suggests that becoming a fluent reader may partially rely on a domain-general statistical learning (SL) mechanism that allows a person to automatically extract predictable patterns from the sensory input. The goal of the present study was to investigate a potential link between SL and the ability to make linguistic predictions. All previous studies investigated quite general levels of reading ability rather than the dynamic process of making linguistic predictions. We thus used a recently developed predictive reading task, which consisted of having participants read aloud words that were preceded by either semantically or syntactically predictive contexts. To measure the componential nature of SL, we used a visual and an auditory SL task (VSL, ASL) and the classic serial reaction time task (SRT). General reading ability was assessed with a reading speed/comprehension test. The study was conducted online on a sample of 120 participants to make it possible to explore interindividual differences. The results showed only weak and sometimes even negative correlations between the various SL measures. ASL correlated positively and predicted general reading ability but neither semantic nor syntactic prediction effects. Similarly, one of the SRT measures was significantly associated with reading level and reading speed but not with linguistic prediction effects. In sum, there is little evidence that domain-general SL is a good predictor of people's ability to make domain-specific linguistic predictions. In contrast, SL shows a weak but significant association with general reading ability.</description><subject>Cognitive science</subject><subject>context effect</subject><subject>Life Sciences</subject><subject>Linguistics</subject><subject>Neurons and Cognition</subject><subject>Psychology and behavior</subject><subject>reading aloud</subject><subject>semantic prediction</subject><subject>statistical learning</subject><subject>syntactic prediction</subject><issn>2514-4820</issn><issn>2514-4820</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkV1LHDEUhkNpqWLFf1DmrvVi7UlOMsn0pizSqrDQ0q3XIZOcsbPMTmwyK_jvzToq9up88PDwwsvYCYczhSi_bKI_wxrfsEOhuFxII-Dtq_2AHee8AQDBlYAa37MDNBq14eaQ-TVt3Tj1vnJjqNb34-T8_vqVKPRli2Ou-rH6TS704021HOIufK2WiaqLGMMzFlOe7_Xkpj4XgRuqFbk0UsrfPrB3nRsyHT_NI3b94_uf88vF6ufF1flytfBS62lR-xaCNi2icUSmlm3nO5RAQUmlZSe5qEE3AKpplPYmtOA8kq5JtF2oazxiV7M3RLext6nfunRvo-vt4yOmG-tSyTaQ1UCmlQoFaCm5bxqEDjUpD4CGkIrrdHb9dcN_qsvlyu5_UDIJ4PqOF_bzzN6m-G9HebLbPnsaBjdS3GWLoKREgWIf8dOM-hRzTtS9uDnYfZm2lGlLmYX8-CTdtVsKL9xzdfgAvRuXIw</recordid><startdate>20240509</startdate><enddate>20240509</enddate><creator>Gavard, Elisa</creator><creator>Ziegler, Johannes C</creator><general>European Society for Cognitive Psychology</general><general>Ubiquity Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5144-7767</orcidid><orcidid>https://orcid.org/0000-0002-2061-5729</orcidid></search><sort><creationdate>20240509</creationdate><title>Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?</title><author>Gavard, Elisa ; Ziegler, Johannes C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-6cb0d78b338aee864bfcf340ed54574f41260790059957c8db0ac3e76e2bfd663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Cognitive science</topic><topic>context effect</topic><topic>Life Sciences</topic><topic>Linguistics</topic><topic>Neurons and Cognition</topic><topic>Psychology and behavior</topic><topic>reading aloud</topic><topic>semantic prediction</topic><topic>statistical learning</topic><topic>syntactic prediction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gavard, Elisa</creatorcontrib><creatorcontrib>Ziegler, Johannes C</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of cognition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gavard, Elisa</au><au>Ziegler, Johannes C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?</atitle><jtitle>Journal of cognition</jtitle><addtitle>J Cogn</addtitle><date>2024-05-09</date><risdate>2024</risdate><volume>7</volume><issue>1</issue><spage>40</spage><epage>40</epage><pages>40-40</pages><issn>2514-4820</issn><eissn>2514-4820</eissn><abstract>Recent research suggests that becoming a fluent reader may partially rely on a domain-general statistical learning (SL) mechanism that allows a person to automatically extract predictable patterns from the sensory input. The goal of the present study was to investigate a potential link between SL and the ability to make linguistic predictions. All previous studies investigated quite general levels of reading ability rather than the dynamic process of making linguistic predictions. We thus used a recently developed predictive reading task, which consisted of having participants read aloud words that were preceded by either semantically or syntactically predictive contexts. To measure the componential nature of SL, we used a visual and an auditory SL task (VSL, ASL) and the classic serial reaction time task (SRT). General reading ability was assessed with a reading speed/comprehension test. The study was conducted online on a sample of 120 participants to make it possible to explore interindividual differences. The results showed only weak and sometimes even negative correlations between the various SL measures. ASL correlated positively and predicted general reading ability but neither semantic nor syntactic prediction effects. Similarly, one of the SRT measures was significantly associated with reading level and reading speed but not with linguistic prediction effects. In sum, there is little evidence that domain-general SL is a good predictor of people's ability to make domain-specific linguistic predictions. In contrast, SL shows a weak but significant association with general reading ability.</abstract><cop>England</cop><pub>European Society for Cognitive Psychology</pub><pmid>38737818</pmid><doi>10.5334/joc.363</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5144-7767</orcidid><orcidid>https://orcid.org/0000-0002-2061-5729</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2514-4820
ispartof Journal of cognition, 2024-05, Vol.7 (1), p.40-40
issn 2514-4820
2514-4820
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_70e8b453207441c9930f37e5c0038e3e
source PubMed Central
subjects Cognitive science
context effect
Life Sciences
Linguistics
Neurons and Cognition
Psychology and behavior
reading aloud
semantic prediction
statistical learning
syntactic prediction
title Semantic and Syntactic Predictions in Reading Aloud: Are Good Predictors Good Statistical Learners?
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T23%3A50%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Semantic%20and%20Syntactic%20Predictions%20in%20Reading%20Aloud:%20Are%20Good%20Predictors%20Good%20Statistical%20Learners?&rft.jtitle=Journal%20of%20cognition&rft.au=Gavard,%20Elisa&rft.date=2024-05-09&rft.volume=7&rft.issue=1&rft.spage=40&rft.epage=40&rft.pages=40-40&rft.issn=2514-4820&rft.eissn=2514-4820&rft_id=info:doi/10.5334/joc.363&rft_dat=%3Cproquest_doaj_%3E3054432326%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c477t-6cb0d78b338aee864bfcf340ed54574f41260790059957c8db0ac3e76e2bfd663%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3054432326&rft_id=info:pmid/38737818&rfr_iscdi=true