Phonological and Orthographic Representations in Visual Word Recognition

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Phonological and Orthographic Representations in Visual Word Recognition : ERP Study of Russian Homophones. / Chernova, Daria ; Podvigina, Daria.

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. ed. / Boris M. Velichkovsky; Pavel M. Balaban; Vadim L. Ushakov. Springer Nature, 2021. p. 329-334 (Advances in Intelligent Systems and Computing; Vol. 1358 AIST).

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

Harvard

Chernova, D & Podvigina, D 2021, Phonological and Orthographic Representations in Visual Word Recognition: ERP Study of Russian Homophones. in BM Velichkovsky, PM Balaban & VL Ushakov (eds), Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Advances in Intelligent Systems and Computing, vol. 1358 AIST, Springer Nature, pp. 329-334, 9th International Conference on Cognitive Sciences, Intercognsci 2020, Moscow, Russian Federation, 10/10/20. https://doi.org/10.1007/978-3-030-71637-0_38

APA

Chernova, D., & Podvigina, D. (2021). Phonological and Orthographic Representations in Visual Word Recognition: ERP Study of Russian Homophones. In B. M. Velichkovsky, P. M. Balaban, & V. L. Ushakov (Eds.), Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020 (pp. 329-334). (Advances in Intelligent Systems and Computing; Vol. 1358 AIST). Springer Nature. https://doi.org/10.1007/978-3-030-71637-0_38

Vancouver

Chernova D , Podvigina D. Phonological and Orthographic Representations in Visual Word Recognition: ERP Study of Russian Homophones. In Velichkovsky BM, Balaban PM, Ushakov VL, editors, Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Springer Nature. 2021. p. 329-334. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-71637-0_38

Author

Chernova, Daria ; Podvigina, Daria. / Phonological and Orthographic Representations in Visual Word Recognition : ERP Study of Russian Homophones. Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. editor / Boris M. Velichkovsky ; Pavel M. Balaban ; Vadim L. Ushakov. Springer Nature, 2021. pp. 329-334 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{c92d50be2db54404a9262a839e2e1f70,

title = "Phonological and Orthographic Representations in Visual Word Recognition: ERP Study of Russian Homophones",

abstract = "Our study focuses on the role of phonology in visual word processing recognition which is a crucial theoretical issue in the psycholinguistics research of reading. We use the ERP method in the homophone-error paradigm and show that both homophone errors and orthographic neighbours of the target word provoke N400 effect and homophony does not facilitate processing. It gives evidence for dual-route model of processing showing that meaning can be activated directly from visual (orthographic) representations and not via phonological codes. At the same time we report P600 effect for homophone errors which can be explained by further competition between phonological and visual representation of the word: it makes homophone errors more costly in the semantic integration of the phrase.",

keywords = "ERP, Homophones, N400 effect, Orthographic representation, Phonological representation, Visual word recognition",

author = "Daria Chernova and Daria Podvigina",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 9th International Conference on Cognitive Sciences, Intercognsci 2020 ; Conference date: 10-10-2020 Through 16-10-2020",

year = "2021",

doi = "10.1007/978-3-030-71637-0_38",

language = "English",

isbn = "9783030716363",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Nature",

pages = "329--334",

editor = "Velichkovsky, {Boris M.} and Balaban, {Pavel M.} and Ushakov, {Vadim L.}",

booktitle = "Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020",

address = "Germany",

}

RIS

TY - GEN

T1 - Phonological and Orthographic Representations in Visual Word Recognition

T2 - 9th International Conference on Cognitive Sciences, Intercognsci 2020

AU - Chernova, Daria

AU - Podvigina, Daria

PY - 2021

Y1 - 2021

N2 - Our study focuses on the role of phonology in visual word processing recognition which is a crucial theoretical issue in the psycholinguistics research of reading. We use the ERP method in the homophone-error paradigm and show that both homophone errors and orthographic neighbours of the target word provoke N400 effect and homophony does not facilitate processing. It gives evidence for dual-route model of processing showing that meaning can be activated directly from visual (orthographic) representations and not via phonological codes. At the same time we report P600 effect for homophone errors which can be explained by further competition between phonological and visual representation of the word: it makes homophone errors more costly in the semantic integration of the phrase.

AB - Our study focuses on the role of phonology in visual word processing recognition which is a crucial theoretical issue in the psycholinguistics research of reading. We use the ERP method in the homophone-error paradigm and show that both homophone errors and orthographic neighbours of the target word provoke N400 effect and homophony does not facilitate processing. It gives evidence for dual-route model of processing showing that meaning can be activated directly from visual (orthographic) representations and not via phonological codes. At the same time we report P600 effect for homophone errors which can be explained by further competition between phonological and visual representation of the word: it makes homophone errors more costly in the semantic integration of the phrase.

KW - ERP

KW - Homophones

KW - N400 effect

KW - Orthographic representation

KW - Phonological representation

KW - Visual word recognition

UR - http://www.scopus.com/inward/record.url?scp=85105845813&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/344dddfe-b54f-36a3-8245-ed8b9dbfe653/

U2 - 10.1007/978-3-030-71637-0_38

DO - 10.1007/978-3-030-71637-0_38

M3 - Conference contribution

AN - SCOPUS:85105845813

SN - 9783030716363

T3 - Advances in Intelligent Systems and Computing

SP - 329

EP - 334

BT - Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020

A2 - Velichkovsky, Boris M.

A2 - Balaban, Pavel M.

A2 - Ushakov, Vadim L.

PB - Springer Nature

Y2 - 10 October 2020 through 16 October 2020

ER -

ID: 77095655