Discovering large grain sizes in a transparent orthography: Insights from a connectionist model of Italian word naming

Psychology

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https://doi.org/10.1080/09541440903172158
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Keywords

Grain size, Modelling, Morphology, Naming, Neighbourhood size, Orthographic depth, Stress assignment, READING ALOUD, RECOGNITION, ACQUISITION, PRONUNCIATION, CONSISTENCY, FREQUENCY, LANGUAGES, DYSLEXIA

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Discovering large grain sizes in a transparent orthography: Insights from a connectionist model of Italian word naming. / Pagliuca, Giovanni; Monaghan, Padraic.
In: European Journal of Cognitive Psychology, Vol. 22, No. 5, 2010, p. 813-835.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{5c1e658aaeb940338c3222e4c9b4c01e,

title = "Discovering large grain sizes in a transparent orthography: Insights from a connectionist model of Italian word naming",

abstract = "Classic connectionist models of reading have traditionally focused on English, a language with a quasiregular (deep) relationship between orthography and phonology, and very little work has been conducted on more transparent (shallow) orthographies. This paper introduces a parallel distributed processing (PDP) model of reading for Italian. The model was explicitly developed in order to deal with polysyllabic words and stress assignment. One of the core issues regarding such PDP models is whether they can show sensitivity to large grain sizes, as documented by the existence of morphological and neighbourhood effects in nonword reading aloud showed by native Italian speakers (Arduino Burani, 2004; Burani, Marcolini, de Luca, Zoccolotti, 2008). The model is successful in simulating these effects, previously accounted for by dual route architectures. The model was also able to simulate stress consistency effects.",

keywords = "Grain size, Modelling, Morphology, Naming, Neighbourhood size, Orthographic depth, Stress assignment, READING ALOUD, RECOGNITION, ACQUISITION, PRONUNCIATION, CONSISTENCY, FREQUENCY, LANGUAGES, DYSLEXIA",

author = "Giovanni Pagliuca and Padraic Monaghan",

year = "2010",

doi = "10.1080/09541440903172158",

language = "English",

volume = "22",

pages = "813--835",

journal = "European Journal of Cognitive Psychology",

issn = "0954-1446",

publisher = "Psychology Press Ltd",

number = "5",

}

RIS

TY - JOUR

T1 - Discovering large grain sizes in a transparent orthography: Insights from a connectionist model of Italian word naming

AU - Pagliuca, Giovanni

AU - Monaghan, Padraic

PY - 2010

Y1 - 2010

N2 - Classic connectionist models of reading have traditionally focused on English, a language with a quasiregular (deep) relationship between orthography and phonology, and very little work has been conducted on more transparent (shallow) orthographies. This paper introduces a parallel distributed processing (PDP) model of reading for Italian. The model was explicitly developed in order to deal with polysyllabic words and stress assignment. One of the core issues regarding such PDP models is whether they can show sensitivity to large grain sizes, as documented by the existence of morphological and neighbourhood effects in nonword reading aloud showed by native Italian speakers (Arduino Burani, 2004; Burani, Marcolini, de Luca, Zoccolotti, 2008). The model is successful in simulating these effects, previously accounted for by dual route architectures. The model was also able to simulate stress consistency effects.

AB - Classic connectionist models of reading have traditionally focused on English, a language with a quasiregular (deep) relationship between orthography and phonology, and very little work has been conducted on more transparent (shallow) orthographies. This paper introduces a parallel distributed processing (PDP) model of reading for Italian. The model was explicitly developed in order to deal with polysyllabic words and stress assignment. One of the core issues regarding such PDP models is whether they can show sensitivity to large grain sizes, as documented by the existence of morphological and neighbourhood effects in nonword reading aloud showed by native Italian speakers (Arduino Burani, 2004; Burani, Marcolini, de Luca, Zoccolotti, 2008). The model is successful in simulating these effects, previously accounted for by dual route architectures. The model was also able to simulate stress consistency effects.

KW - Grain size

KW - Modelling

KW - Morphology

KW - Naming

KW - Neighbourhood size

KW - Orthographic depth

KW - Stress assignment

KW - READING ALOUD

KW - RECOGNITION

KW - ACQUISITION

KW - PRONUNCIATION

KW - CONSISTENCY

KW - FREQUENCY

KW - LANGUAGES

KW - DYSLEXIA

U2 - 10.1080/09541440903172158

DO - 10.1080/09541440903172158

M3 - Journal article

VL - 22

SP - 813

EP - 835

JO - European Journal of Cognitive Psychology

JF - European Journal of Cognitive Psychology

SN - 0954-1446

IS - 5

ER -

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