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Modelling graded semantic effects in lexical decision

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Modelling graded semantic effects in lexical decision. / Chang, Ya-Ning; Lambon Ralph, Matthew; Furber, Steve et al.
Proceedings of the35th Annual Conference of the Cognitive Science Society . ed. / Markus Knauff; Michael Pauen; Natalie Sebanz; Ipke Wachsmuth. Austin, TX: Cognitive Science Society, 2013. p. 310-315.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Chang, Y-N, Lambon Ralph, M, Furber, S & Welbourne, S 2013, Modelling graded semantic effects in lexical decision. in M Knauff, M Pauen, N Sebanz & I Wachsmuth (eds), Proceedings of the35th Annual Conference of the Cognitive Science Society . Cognitive Science Society, Austin, TX, pp. 310-315. <https://mindmodeling.org/cogsci2013/papers/0082/paper0082.pdf>

APA

Chang, Y-N., Lambon Ralph, M., Furber, S., & Welbourne, S. (2013). Modelling graded semantic effects in lexical decision. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the35th Annual Conference of the Cognitive Science Society (pp. 310-315). Cognitive Science Society. https://mindmodeling.org/cogsci2013/papers/0082/paper0082.pdf

Vancouver

Chang Y-N, Lambon Ralph M, Furber S, Welbourne S. Modelling graded semantic effects in lexical decision. In Knauff M, Pauen M, Sebanz N, Wachsmuth I, editors, Proceedings of the35th Annual Conference of the Cognitive Science Society . Austin, TX: Cognitive Science Society. 2013. p. 310-315

Author

Chang, Ya-Ning ; Lambon Ralph, Matthew ; Furber, Steve et al. / Modelling graded semantic effects in lexical decision. Proceedings of the35th Annual Conference of the Cognitive Science Society . editor / Markus Knauff ; Michael Pauen ; Natalie Sebanz ; Ipke Wachsmuth. Austin, TX : Cognitive Science Society, 2013. pp. 310-315

Bibtex

@inproceedings{8364eff7df034b8fa78ef44fd3baa7d7,
title = "Modelling graded semantic effects in lexical decision",
abstract = "Recent studies have shown that the involvement of semantic information in visual lexical decision depends on the nature of nonword foils with semantic effects increased as nonwords become more word-like (Evans, Lambon Ralph &Woollams, 2012). Given that most models of lexical decision focus on orthographic information (Coltheart, Rastle, Perry, Langdon & Ziegler, 2001; Grainger & Jacobs, 1996; Seidenberg & McClelland, 1989), the role of semantics and its interactions with vision, orthography, and phonology has been overlooked. We developed a recurrent connectionist model of single word reading including visual, orthographic, phonological, and semantic processing. The model differentiated words from nonwords by integrating measures of polarity across four key processing layers. The contribution of semantics depended on the type of nonword foils. The model was more reliant on semantic information when the nonword foils were pseudowords and pseudohomophones rather than consonant strings. The results support the view that semantic involvement in lexical decision is graded by the difficulty of the decision task.",
keywords = "semantic effects, visual word recognition, lexical decision, computational modelling, reading",
author = "Ya-Ning Chang and {Lambon Ralph}, Matthew and Steve Furber and Stephen Welbourne",
year = "2013",
language = "English",
isbn = "9780976831891",
pages = "310--315",
editor = "Markus Knauff and Michael Pauen and Natalie Sebanz and Ipke Wachsmuth",
booktitle = "Proceedings of the35th Annual Conference of the Cognitive Science Society",
publisher = "Cognitive Science Society",

}

RIS

TY - GEN

T1 - Modelling graded semantic effects in lexical decision

AU - Chang, Ya-Ning

AU - Lambon Ralph, Matthew

AU - Furber, Steve

AU - Welbourne, Stephen

PY - 2013

Y1 - 2013

N2 - Recent studies have shown that the involvement of semantic information in visual lexical decision depends on the nature of nonword foils with semantic effects increased as nonwords become more word-like (Evans, Lambon Ralph &Woollams, 2012). Given that most models of lexical decision focus on orthographic information (Coltheart, Rastle, Perry, Langdon & Ziegler, 2001; Grainger & Jacobs, 1996; Seidenberg & McClelland, 1989), the role of semantics and its interactions with vision, orthography, and phonology has been overlooked. We developed a recurrent connectionist model of single word reading including visual, orthographic, phonological, and semantic processing. The model differentiated words from nonwords by integrating measures of polarity across four key processing layers. The contribution of semantics depended on the type of nonword foils. The model was more reliant on semantic information when the nonword foils were pseudowords and pseudohomophones rather than consonant strings. The results support the view that semantic involvement in lexical decision is graded by the difficulty of the decision task.

AB - Recent studies have shown that the involvement of semantic information in visual lexical decision depends on the nature of nonword foils with semantic effects increased as nonwords become more word-like (Evans, Lambon Ralph &Woollams, 2012). Given that most models of lexical decision focus on orthographic information (Coltheart, Rastle, Perry, Langdon & Ziegler, 2001; Grainger & Jacobs, 1996; Seidenberg & McClelland, 1989), the role of semantics and its interactions with vision, orthography, and phonology has been overlooked. We developed a recurrent connectionist model of single word reading including visual, orthographic, phonological, and semantic processing. The model differentiated words from nonwords by integrating measures of polarity across four key processing layers. The contribution of semantics depended on the type of nonword foils. The model was more reliant on semantic information when the nonword foils were pseudowords and pseudohomophones rather than consonant strings. The results support the view that semantic involvement in lexical decision is graded by the difficulty of the decision task.

KW - semantic effects

KW - visual word recognition

KW - lexical decision

KW - computational modelling

KW - reading

M3 - Conference contribution/Paper

SN - 9780976831891

SP - 310

EP - 315

BT - Proceedings of the35th Annual Conference of the Cognitive Science Society

A2 - Knauff, Markus

A2 - Pauen, Michael

A2 - Sebanz, Natalie

A2 - Wachsmuth, Ipke

PB - Cognitive Science Society

CY - Austin, TX

ER -