CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
Identifieur interne : 001965 ( Ncbi/Merge ); précédent : 001964; suivant : 001966CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
Auteurs : Conrad Perry [Australie] ; Johannes C. Ziegler [France] ; Marco Zorzi [Italie]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
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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PMC:3989230Le document en format XML
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<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>
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<double pmid="24740261"><pmc><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>
<wicri:noRegion>Hawthorn</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ziegler, Johannes C" sort="Ziegler, Johannes C" uniqKey="Ziegler J" first="Johannes C." last="Ziegler">Johannes C. Ziegler</name>
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</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille</wicri:regionArea>
<placeName><region type="region">Provence-Alpes-Côte d'Azur</region>
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<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name>
<affiliation wicri:level="4"><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>
<orgName type="university">Université de Padoue</orgName>
<placeName><settlement type="city">Padoue</settlement>
<region type="region" nuts="2">Vénétie</region>
</placeName>
</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>
<wicri:noRegion>Lido di Venezia</wicri:noRegion>
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<idno type="pmid">24740261</idno>
<idno type="pmc">3989230</idno>
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<idno type="RBID">PMC:3989230</idno>
<idno type="doi">10.1371/journal.pone.0094291</idno>
<date when="2014">2014</date>
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<idno type="wicri:Area/Pmc/Curation">002A10</idno>
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<idno type="wicri:Area/Pmc/Checkpoint">001721</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">001721</idno>
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<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>
<wicri:noRegion>Hawthorn</wicri:noRegion>
</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="3"><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>
<placeName><region type="region">Provence-Alpes-Côte d'Azur</region>
<region type="old region">Provence-Alpes-Côte d'Azur</region>
<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name>
<affiliation wicri:level="4"><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>
<orgName type="university">Université de Padoue</orgName>
<placeName><settlement type="city">Padoue</settlement>
<region type="region" nuts="2">Vénétie</region>
</placeName>
</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>
<wicri:noRegion>Lido di Venezia</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint><date when="2014">2014</date>
</imprint>
</series>
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<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>
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</front>
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<pubmed><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:affiliation>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn</wicri:regionArea>
<wicri:noRegion>Hawthorn</wicri:noRegion>
</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="3"><nlm:affiliation>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille</wicri:regionArea>
<placeName><region type="region">Provence-Alpes-Côte d'Azur</region>
<region type="old region">Provence-Alpes-Côte d'Azur</region>
<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name>
<affiliation wicri:level="4"><nlm:affiliation>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy; IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia, Italy.</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy; IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia</wicri:regionArea>
<orgName type="university">Université de Padoue</orgName>
<placeName><settlement type="city">Padoue</settlement>
<region type="region" nuts="2">Vénétie</region>
</placeName>
</affiliation>
</author>
</titleStmt>
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<date when="2014">2014</date>
<idno type="RBID">pubmed:24740261</idno>
<idno type="pmid">24740261</idno>
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<sourceDesc><biblStruct><analytic><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:affiliation>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn</wicri:regionArea>
<wicri:noRegion>Hawthorn</wicri:noRegion>
</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="3"><nlm:affiliation>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Aix-Marseille Université and Centre National de la Recherche Scientifique, Marseille</wicri:regionArea>
<placeName><region type="region">Provence-Alpes-Côte d'Azur</region>
<region type="old region">Provence-Alpes-Côte d'Azur</region>
<settlement type="city">Marseille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Zorzi, Marco" sort="Zorzi, Marco" uniqKey="Zorzi M" first="Marco" last="Zorzi">Marco Zorzi</name>
<affiliation wicri:level="4"><nlm:affiliation>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy; IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia, Italy.</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Dipartimento di Psicologia Generale and Center for Cognitive Neuroscience, Università di Padova, Padova, Italy; IRCCS San Camillo Neurorehabilitation Hospital, Lido di Venezia</wicri:regionArea>
<orgName type="university">Université de Padoue</orgName>
<placeName><settlement type="city">Padoue</settlement>
<region type="region" nuts="2">Vénétie</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">PloS one</title>
<idno type="eISSN">1932-6203</idno>
<imprint><date when="2014" type="published">2014</date>
</imprint>
</series>
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</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer Simulation</term>
<term>Language</term>
<term>Linguistics</term>
<term>Reading</term>
<term>Speech</term>
<term>Translating</term>
<term>Verbal Behavior</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Comportement verbal</term>
<term>Langage</term>
<term>Lecture</term>
<term>Linguistique</term>
<term>Parole</term>
<term>Simulation numérique</term>
<term>Traduction</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term>
<term>Language</term>
<term>Linguistics</term>
<term>Reading</term>
<term>Speech</term>
<term>Translating</term>
<term>Verbal Behavior</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Comportement verbal</term>
<term>Langage</term>
<term>Lecture</term>
<term>Linguistique</term>
<term>Parole</term>
<term>Simulation numérique</term>
<term>Traduction</term>
</keywords>
</textClass>
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</teiHeader>
<front><div type="abstract" xml:lang="en">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.</div>
</front>
</TEI>
</pubmed>
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