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CDP++.Italian: modelling sublexical and supralexical inconsistency in a shallow orthography.

Identifieur interne : 003827 ( PubMed/Corpus ); précédent : 003826; suivant : 003828

CDP++.Italian: modelling sublexical and supralexical inconsistency in a shallow orthography.

Auteurs : Conrad Perry ; Johannes C. Ziegler ; Marco Zorzi

Source :

RBID : pubmed:24740261

English descriptors

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.

DOI: 10.1371/journal.pone.0094291
PubMed: 24740261

Links to Exploration step

pubmed:24740261

Le document en format XML

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<name sortKey="Perry, Conrad" sort="Perry, Conrad" uniqKey="Perry C" first="Conrad" last="Perry">Conrad Perry</name>
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<nlm:affiliation>Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, Australia.</nlm:affiliation>
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<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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<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>
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<RefSource>Behav Res Methods Instrum Comput. 2002 Aug;34(3):424-34</RefSource>
<PMID Version="1">12395559</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Mem Lang. 2009 Aug 2;61(2):238-257</RefSource>
<PMID Version="1">20161189</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychol Rev. 1981 Mar;88(2):135-70</RefSource>
<PMID Version="1">7291377</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Cogn Neurosci. 1997 Nov;9(6):758-75</RefSource>
<PMID Version="1">23964598</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cogn Neuropsychol. 2004 Dec 1;21(8):820-39</RefSource>
<PMID Version="1">21038235</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain Lang. 2002 Apr-Jun;81(1-3):568-86</RefSource>
<PMID Version="1">12081423</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychon Bull Rev. 2006 Apr;13(2):346-52</RefSource>
<PMID Version="1">16893006</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychon Bull Rev. 2008 Oct;15(5):971-9</RefSource>
<PMID Version="1">18926991</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Q J Exp Psychol (Hove). 2007 Jul;60(7):1005-14</RefSource>
<PMID Version="1">17616916</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>PLoS One. 2009;4(9):e7219</RefSource>
<PMID Version="1">19787062</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Psychiatr Res. 1975 Nov;12(3):189-98</RefSource>
<PMID Version="1">1202204</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychol Rev. 2007 Apr;114(2):273-315</RefSource>
<PMID Version="1">17500628</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuropsychologia. 2004;42(9):1192-202</RefSource>
<PMID Version="1">15178171</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Psycholinguist Res. 2004 Jan;33(1):75-95</RefSource>
<PMID Version="1">15002172</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cognition. 2008 Apr;107(1):151-78</RefSource>
<PMID Version="1">17959161</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cogn Psychol. 2010 Sep;61(2):106-51</RefSource>
<PMID Version="1">20510406</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain Lang. 2001 Dec;79(3):345-59</RefSource>
<PMID Version="1">11781047</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cogn Sci. 2013 Jul;37(5):800-28</RefSource>
<PMID Version="1">23489148</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cognition. 2008 Jul;108(1):243-62</RefSource>
<PMID Version="1">18262178</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychol Rev. 2001 Jan;108(1):204-56</RefSource>
<PMID Version="1">11212628</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Q J Exp Psychol (Hove). 2006 May;59(5):920-48</RefSource>
<PMID Version="1">16608755</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Mem Cognit. 1998 Jul;26(4):822-32</RefSource>
<PMID Version="1">9701973</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain Lang. 2004 Jul-Sep;90(1-3):318-25</RefSource>
<PMID Version="1">15172549</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cognition. 2004 Apr;91(3):273-96</RefSource>
<PMID Version="1">15168898</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychol Sci. 2004 Sep;15(9):583-90</RefSource>
<PMID Version="1">15327628</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cognition. 1987 Jun;26(1):59-85</RefSource>
<PMID Version="1">3608396</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Mem Cognit. 2012 Apr;40(3):466-82</RefSource>
<PMID Version="1">22131251</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Sci. 2006 Sep;9(5):429-36</RefSource>
<PMID Version="1">16911438</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Psychol Rev. 2010 Jan;117(1):256-71; discussion 271-2</RefSource>
<PMID Version="1">20063972</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Exp Psychol Learn Mem Cogn. 2013 Jan;39(1):51-68</RefSource>
<PMID Version="1">22612167</PMID>
</CommentsCorrections>
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