Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader

Aaron Veldre; Lili Yu; Sally Andrews; Erik D. Reichle

Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader

Aaron Veldre, Lili Yu, Sally Andrews, Erik D. Reichle

Macquarie University Centre for Reading

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

11 Citations (Scopus)

95 Downloads (Pure)

Abstract

This paper presents simulations of eye movements during reading, lexical decision, and naming using Über-Reader, a new computational model that aims to provide a complete account of the perceptual, cognitive, and motor processes involved in reading. The present simulations focused on Über-Reader’s word-identification module—an implemen-tation of the Multiple-Trace Memory model (Ans et al., 1998) based on the theoretical assumptions of the MI-NERVA 2 model of episodic memory (Hintzman, 1984)—with a vocabulary comprising the full corpus of the Eng-lish Lexicon Project (Balota et al., 2007). The model’s lex-icon was probed with words and one-letter-different non-words from the Schilling et al. (1998) corpus, and outputs of the model were scored to evaluate performance against the empirical data. The outcomes of these simulations will inform further development of Über-Reader by providing the foundation for our ultimate goal of simulating reading, in its entirety.

Original language	English
Title of host publication	CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society
Subtitle of host publication	developing a mind: learning in humans, animals, and machines
Place of Publication	Austin, Texas
Publisher	Cognitive Science Society
Pages	151-157
Number of pages	7
Publication status	Published - 2020
Event	Annual Meeting of the Cognitive Science Society (42nd : 2020): Developing a mind: learning in humans, animals, and machines - Virtual event Duration: 29 Jul 2020 → 1 Aug 2020

Conference

Conference	Annual Meeting of the Cognitive Science Society (42nd : 2020)
Abbreviated title	CogSci 2020
Period	29/07/20 → 1/08/20

Bibliographical note

Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

computer modeling
eye movements
reading
lexical-decision task
naming task
visual word recognition
Über-Reader

Access to Document

Publisher version (open access)Final published version, 839 KBLicence: CC BY

https://hdl.handle.net/2123/22990Licence: Unspecified

Cite this

Veldre, A., Yu, L., Andrews, S., & Reichle, E. D. (2020). Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader. In CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society: developing a mind: learning in humans, animals, and machines (pp. 151-157). Cognitive Science Society. https://hdl.handle.net/2123/22990

Veldre, Aaron ; Yu, Lili ; Andrews, Sally et al. / Towards a complete model of reading : simulating lexical decision, word naming, and sentence reading with Über-Reader. CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society: developing a mind: learning in humans, animals, and machines. Austin, Texas : Cognitive Science Society, 2020. pp. 151-157

@inproceedings{ccff27e923404312bae3fa1c5235a1d3,

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abstract = "This paper presents simulations of eye movements during reading, lexical decision, and naming using {\"U}ber-Reader, a new computational model that aims to provide a complete account of the perceptual, cognitive, and motor processes involved in reading. The present simulations focused on {\"U}ber-Reader{\textquoteright}s word-identification module—an implemen-tation of the Multiple-Trace Memory model (Ans et al., 1998) based on the theoretical assumptions of the MI-NERVA 2 model of episodic memory (Hintzman, 1984)—with a vocabulary comprising the full corpus of the Eng-lish Lexicon Project (Balota et al., 2007). The model{\textquoteright}s lex-icon was probed with words and one-letter-different non-words from the Schilling et al. (1998) corpus, and outputs of the model were scored to evaluate performance against the empirical data. The outcomes of these simulations will inform further development of {\"U}ber-Reader by providing the foundation for our ultimate goal of simulating reading, in its entirety.",

keywords = "computer modeling, eye movements, reading, lexical-decision task, naming task, visual word recognition, {\"U}ber-Reader",

author = "Aaron Veldre and Lili Yu and Sally Andrews and Reichle, {Erik D.}",

note = "Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; Annual Meeting of the Cognitive Science Society (42nd : 2020) : Developing a mind: learning in humans, animals, and machines, CogSci 2020 ; Conference date: 29-07-2020 Through 01-08-2020",

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Veldre, A , Yu, L, Andrews, S & Reichle, ED 2020, Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader. in CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society: developing a mind: learning in humans, animals, and machines. Cognitive Science Society, Austin, Texas, pp. 151-157, Annual Meeting of the Cognitive Science Society (42nd : 2020), 29/07/20. <https://hdl.handle.net/2123/22990>

Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader. / Veldre, Aaron ; Yu, Lili; Andrews, Sally et al.
CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society: developing a mind: learning in humans, animals, and machines. Austin, Texas: Cognitive Science Society, 2020. p. 151-157.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Towards a complete model of reading

T2 - Annual Meeting of the Cognitive Science Society (42nd : 2020)

AU - Veldre, Aaron

AU - Yu, Lili

AU - Andrews, Sally

AU - Reichle, Erik D.

N1 - Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2020

Y1 - 2020

N2 - This paper presents simulations of eye movements during reading, lexical decision, and naming using Über-Reader, a new computational model that aims to provide a complete account of the perceptual, cognitive, and motor processes involved in reading. The present simulations focused on Über-Reader’s word-identification module—an implemen-tation of the Multiple-Trace Memory model (Ans et al., 1998) based on the theoretical assumptions of the MI-NERVA 2 model of episodic memory (Hintzman, 1984)—with a vocabulary comprising the full corpus of the Eng-lish Lexicon Project (Balota et al., 2007). The model’s lex-icon was probed with words and one-letter-different non-words from the Schilling et al. (1998) corpus, and outputs of the model were scored to evaluate performance against the empirical data. The outcomes of these simulations will inform further development of Über-Reader by providing the foundation for our ultimate goal of simulating reading, in its entirety.

AB - This paper presents simulations of eye movements during reading, lexical decision, and naming using Über-Reader, a new computational model that aims to provide a complete account of the perceptual, cognitive, and motor processes involved in reading. The present simulations focused on Über-Reader’s word-identification module—an implemen-tation of the Multiple-Trace Memory model (Ans et al., 1998) based on the theoretical assumptions of the MI-NERVA 2 model of episodic memory (Hintzman, 1984)—with a vocabulary comprising the full corpus of the Eng-lish Lexicon Project (Balota et al., 2007). The model’s lex-icon was probed with words and one-letter-different non-words from the Schilling et al. (1998) corpus, and outputs of the model were scored to evaluate performance against the empirical data. The outcomes of these simulations will inform further development of Über-Reader by providing the foundation for our ultimate goal of simulating reading, in its entirety.

KW - computer modeling

KW - eye movements

KW - reading

KW - lexical-decision task

KW - naming task

KW - visual word recognition

KW - Über-Reader

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UR - http://purl.org/au-research/grants/arc/DP190100719

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M3 - Conference proceeding contribution

SP - 151

EP - 157

BT - CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society

PB - Cognitive Science Society

CY - Austin, Texas

Y2 - 29 July 2020 through 1 August 2020

ER -

Veldre A , Yu L, Andrews S, Reichle ED. Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader. In CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society: developing a mind: learning in humans, animals, and machines. Austin, Texas: Cognitive Science Society. 2020. p. 151-157

Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

ARC - DP: Tracking towards a complete model of skilled reading comprehension

Cite this

Towards a complete model of reading: simulating lexical decision, word naming, and sentence reading with Über-Reader

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

ARC - DP: Tracking towards a complete model of skilled reading comprehension

Cite this