CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
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Auteurs : Conrad Perry [Australie] ; Johannes C. Ziegler [France] ; Marco Zorzi [Italie]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Abstract
Most models of reading aloud have been constructed to explain data in relatively complex orthographies like English and French. Here, we created an Italian version of the Connectionist Dual Process Model of Reading Aloud (CDP++) to examine the extent to which the model could predict data in a language which has relatively simple orthography-phonology relationships but is relatively complex at a suprasegmental (word stress) level. We show that the model exhibits good quantitative performance and accounts for key phenomena observed in naming studies, including some apparently contradictory findings. These effects include stress regularity and stress consistency, both of which have been especially important in studies of word recognition and reading aloud in Italian. Overall, the results of the model compare favourably to an alternative connectionist model that can learn non-linear spelling-to-sound mappings. This suggests that CDP++ is currently the leading computational model of reading aloud in Italian, and that its simple linear learning mechanism adequately captures the statistical regularities of the spelling-to-sound mapping both at the segmental and supra-segmental levels.
Url:
DOI: 10.1371/journal.pone.0094291
PubMed: 24740261
PubMed Central: 3989230
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography</title><author><name sortKey="Perry, Conrad" sort="Perry, Conrad" uniqKey="Perry C" first="Conrad" last="Perry">Conrad Perry</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia</addr-line></nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn</wicri:regionArea></affiliation></author><author><name sortKey="Ziegler, Johannes C" sort="Ziegler, Johannes C" uniqKey="Ziegler J" first="Johannes C." last="Ziegler">Johannes C. Ziegler</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille</wicri:regionArea></affiliation></author><author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy</addr-line></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia, Italy</addr-line></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24740261</idno><idno type="pmc">3989230</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989230</idno><idno type="RBID">PMC:3989230</idno><idno type="doi">10.1371/journal.pone.0094291</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">002B60</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002B60</idno><idno type="wicri:Area/Pmc/Curation">002A10</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">002A10</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography</title><author><name sortKey="Perry, Conrad" sort="Perry, Conrad" uniqKey="Perry C" first="Conrad" last="Perry">Conrad Perry</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia</addr-line></nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn</wicri:regionArea></affiliation></author><author><name sortKey="Ziegler, Johannes C" sort="Ziegler, Johannes C" uniqKey="Ziegler J" first="Johannes C." last="Ziegler">Johannes C. Ziegler</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille</wicri:regionArea></affiliation></author><author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy</addr-line></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia, Italy</addr-line></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia</wicri:regionArea></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Most models of reading aloud have been constructed to explain data in relatively complex orthographies like English and French. Here, we created an Italian version of the Connectionist Dual Process Model of Reading Aloud (CDP++) to examine the extent to which the model could predict data in a language which has relatively simple orthography-phonology relationships but is relatively complex at a suprasegmental (word stress) level. We show that the model exhibits good quantitative performance and accounts for key phenomena observed in naming studies, including some apparently contradictory findings. These effects include stress regularity and stress consistency, both of which have been especially important in studies of word recognition and reading aloud in Italian. Overall, the results of the model compare favourably to an alternative connectionist model that can learn non-linear spelling-to-sound mappings. This suggests that CDP++ is currently the leading computational model of reading aloud in Italian, and that its simple linear learning mechanism adequately captures the statistical regularities of the spelling-to-sound mapping both at the segmental and supra-segmental levels.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Yang, Jf" uniqKey="Yang J">JF Yang</name></author><author><name sortKey="Mccandliss, Bd" uniqKey="Mccandliss B">BD McCandliss</name></author><author><name sortKey="Shu, H" uniqKey="Shu H">H Shu</name></author><author><name sortKey="Zevin, J" uniqKey="Zevin J">J Zevin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ziegler, Jc" uniqKey="Ziegler J">JC Ziegler</name></author><author><name sortKey="Perry, C" uniqKey="Perry C">C Perry</name></author><author><name sortKey="Coltheart, M" uniqKey="Coltheart M">M 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24740261</article-id><article-id pub-id-type="pmc">3989230</article-id><article-id pub-id-type="publisher-id">PONE-D-13-34278</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0094291</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biology and Life Sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cognitive Science</subject><subj-group><subject>Cognitive Psychology</subject></subj-group></subj-group><subj-group><subject>Neurolinguistics</subject><subject>Neuropsychology</subject></subj-group></subj-group><subj-group><subject>Psychology</subject><subj-group><subject>Behavior</subject><subj-group><subject>Human Performance</subject></subj-group></subj-group><subj-group><subject>Experimental Psychology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer and Information Sciences</subject><subj-group><subject>Computer Modeling</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Social Sciences</subject><subj-group><subject>Linguistics</subject><subj-group><subject>Computational Linguistics</subject><subject>Psycholinguistics</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography</article-title><alt-title alt-title-type="running-head">CDP++.Italian</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Perry</surname><given-names>Conrad</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ziegler</surname><given-names>Johannes C.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Zorzi</surname><given-names>Marco</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy</addr-line></aff><aff id="aff4"><label>4</label><addr-line>IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia, Italy</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Xu</surname><given-names>Benjamin</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>The National Institutes of Health, United States of America</addr-line></aff><author-notes><corresp id="cor1">* E-mail: <email>ConradPerry@gmail.com</email></corresp><fn fn-type="conflict"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con"><p>Conceived and designed the experiments: CP JZ MZ. Analyzed the data: CP. Wrote the paper: CP JZ MZ. Programmed the model: CP.</p></fn></author-notes><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>16</day><month>4</month><year>2014</year></pub-date><volume>9</volume><issue>4</issue><elocation-id>e94291</elocation-id><history><date date-type="received"><day>13</day><month>8</month><year>2013</year></date><date date-type="accepted"><day>14</day><month>3</month><year>2014</year></date></history><permissions><copyright-year>2014</copyright-year><copyright-holder>Perry et al</copyright-holder><license><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><abstract><p>Most models of reading aloud have been constructed to explain data in relatively complex orthographies like English and French. Here, we created an Italian version of the Connectionist Dual Process Model of Reading Aloud (CDP++) to examine the extent to which the model could predict data in a language which has relatively simple orthography-phonology relationships but is relatively complex at a suprasegmental (word stress) level. We show that the model exhibits good quantitative performance and accounts for key phenomena observed in naming studies, including some apparently contradictory findings. These effects include stress regularity and stress consistency, both of which have been especially important in studies of word recognition and reading aloud in Italian. Overall, the results of the model compare favourably to an alternative connectionist model that can learn non-linear spelling-to-sound mappings. This suggests that CDP++ is currently the leading computational model of reading aloud in Italian, and that its simple linear learning mechanism adequately captures the statistical regularities of the spelling-to-sound mapping both at the segmental and supra-segmental levels.</p></abstract><funding-group><funding-statement>This research was supported by grants from the Australian Research Council (DP120100883) to CP and the European Research Council (210922-GENMOD) to MZ. JZ was supported by the Labex BLRI (ANR-11-LABX-0036) managed by the French National Agency for Research (ANR), Investments of the Future A*MIDEX (ANR-11-IDEX-0001-02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><page-count count="13"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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