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Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets

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Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. / Bermúdez-Margaretto, Beatriz; Kopytin, Grigory; Myachykov, Andriy; Shtyrov, Yury.

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. red. / Boris M. Velichkovsky; Pavel M. Balaban; Vadim L. Ushakov. Springer, 2021. s. 345-358 (Advances in Intelligent Systems and Computing, Bind 1358 ).

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Harvard

Bermúdez-Margaretto, B, Kopytin, G, Myachykov, A & Shtyrov, Y 2021, Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. i BM Velichkovsky, PM Balaban & VL Ushakov (red), Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Springer, Advances in Intelligent Systems and Computing, bind 1358 , s. 345-358, 9th International Conference on Cognitive Sciences, Intercognsci 2020, Moscow, Rusland, 10/10/2020. https://doi.org/10.1007/978-3-030-71637-0_40

APA

Bermúdez-Margaretto, B., Kopytin, G., Myachykov, A., & Shtyrov, Y. (2021). Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. I B. M. Velichkovsky, P. M. Balaban, & V. L. Ushakov (red.), Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020 (s. 345-358). Springer. Advances in Intelligent Systems and Computing Bind 1358 https://doi.org/10.1007/978-3-030-71637-0_40

CBE

Bermúdez-Margaretto B, Kopytin G, Myachykov A, Shtyrov Y. 2021. Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. Velichkovsky BM, Balaban PM, Ushakov VL, red. I Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Springer. s. 345-358. (Advances in Intelligent Systems and Computing, Bind 1358 ). https://doi.org/10.1007/978-3-030-71637-0_40

MLA

Bermúdez-Margaretto, Beatriz o.a.. "Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets"., Velichkovsky, Boris M. Balaban, Pavel M. Ushakov, Vadim L. (red.). Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Springer. (Advances in Intelligent Systems and Computing, Bind 1358 ). 2021, 345-358. https://doi.org/10.1007/978-3-030-71637-0_40

Vancouver

Bermúdez-Margaretto B, Kopytin G, Myachykov A, Shtyrov Y. Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. I Velichkovsky BM, Balaban PM, Ushakov VL, red., Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. Springer. 2021. s. 345-358. (Advances in Intelligent Systems and Computing, Bind 1358 ). https://doi.org/10.1007/978-3-030-71637-0_40

Author

Bermúdez-Margaretto, Beatriz ; Kopytin, Grigory ; Myachykov, Andriy ; Shtyrov, Yury. / Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets. Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020. red. / Boris M. Velichkovsky ; Pavel M. Balaban ; Vadim L. Ushakov. Springer, 2021. s. 345-358 (Advances in Intelligent Systems and Computing, Bind 1358 ).

Bibtex

@inproceedings{5dffe27ae4cc4a9a800f113c4c84532d,
title = "Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets",
abstract = "The acquisition of new orthographic representations is a rapid and highly automatic process in monolingual readers. Our study extends existing research to biliterate populations, addressing the impact of phonological inconsistencies across native (L1) and second language (L2) alphabets during orthographic learning. Behavioral and EEG signals were collected from a group of 24 Russian-English biliterates via a reading-aloud task using familiar and novel words repeated across ten consecutive blocks in three Script conditions: (1) native Cyrillic, (2) non-native Roman, and (3) ambiguous (phonologically inconsistent graphemes shared by L1 and L2 alphabets). Linear mixed-effects modelling of both behavioral and ERP data revealed reliable Block x Lexicality x Script interactions, indicating that naming latencies and brain activity changed differently across training blocks for novel and familiar words and, importantly, depending on script presentation. Particularly, novel words presented in the ambiguous script showed longer naming latencies and slower reading automatization than those presented in L1 and L2 alphabets. Nonetheless, despite this interference, their naming latencies matched those of familiar words before the end of the training, suggesting the attribution of their representations in the reader's lexicon. The enhancement of early brain responses observed for these stimuli alongside their training confirmed the improvement in their orthographic analysis and lexical access. Critically, this pattern of results was not found for familiar, already represented words, which exhibited a suppression of their brain activity across repetitions. Overall, our results indicate that phonological inconsistency interferes with novel word encoding but it does not prevent efficient attribution of orthographic representations.",
keywords = "Biliteracy, ERPs, Orthographic learning, Rapid word learning",
author = "Beatriz Berm{\'u}dez-Margaretto and Grigory Kopytin and Andriy Myachykov and Yury Shtyrov",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 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_40",
language = "English",
isbn = "9783030716363",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "345--358",
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",

}

RIS

TY - GEN

T1 - Behavioral and Neurophysiological Correlates of Orthographic Learning in L1 and L2 Alphabets

AU - Bermúdez-Margaretto, Beatriz

AU - Kopytin, Grigory

AU - Myachykov, Andriy

AU - Shtyrov, Yury

N1 - Publisher Copyright: © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - The acquisition of new orthographic representations is a rapid and highly automatic process in monolingual readers. Our study extends existing research to biliterate populations, addressing the impact of phonological inconsistencies across native (L1) and second language (L2) alphabets during orthographic learning. Behavioral and EEG signals were collected from a group of 24 Russian-English biliterates via a reading-aloud task using familiar and novel words repeated across ten consecutive blocks in three Script conditions: (1) native Cyrillic, (2) non-native Roman, and (3) ambiguous (phonologically inconsistent graphemes shared by L1 and L2 alphabets). Linear mixed-effects modelling of both behavioral and ERP data revealed reliable Block x Lexicality x Script interactions, indicating that naming latencies and brain activity changed differently across training blocks for novel and familiar words and, importantly, depending on script presentation. Particularly, novel words presented in the ambiguous script showed longer naming latencies and slower reading automatization than those presented in L1 and L2 alphabets. Nonetheless, despite this interference, their naming latencies matched those of familiar words before the end of the training, suggesting the attribution of their representations in the reader's lexicon. The enhancement of early brain responses observed for these stimuli alongside their training confirmed the improvement in their orthographic analysis and lexical access. Critically, this pattern of results was not found for familiar, already represented words, which exhibited a suppression of their brain activity across repetitions. Overall, our results indicate that phonological inconsistency interferes with novel word encoding but it does not prevent efficient attribution of orthographic representations.

AB - The acquisition of new orthographic representations is a rapid and highly automatic process in monolingual readers. Our study extends existing research to biliterate populations, addressing the impact of phonological inconsistencies across native (L1) and second language (L2) alphabets during orthographic learning. Behavioral and EEG signals were collected from a group of 24 Russian-English biliterates via a reading-aloud task using familiar and novel words repeated across ten consecutive blocks in three Script conditions: (1) native Cyrillic, (2) non-native Roman, and (3) ambiguous (phonologically inconsistent graphemes shared by L1 and L2 alphabets). Linear mixed-effects modelling of both behavioral and ERP data revealed reliable Block x Lexicality x Script interactions, indicating that naming latencies and brain activity changed differently across training blocks for novel and familiar words and, importantly, depending on script presentation. Particularly, novel words presented in the ambiguous script showed longer naming latencies and slower reading automatization than those presented in L1 and L2 alphabets. Nonetheless, despite this interference, their naming latencies matched those of familiar words before the end of the training, suggesting the attribution of their representations in the reader's lexicon. The enhancement of early brain responses observed for these stimuli alongside their training confirmed the improvement in their orthographic analysis and lexical access. Critically, this pattern of results was not found for familiar, already represented words, which exhibited a suppression of their brain activity across repetitions. Overall, our results indicate that phonological inconsistency interferes with novel word encoding but it does not prevent efficient attribution of orthographic representations.

KW - Biliteracy

KW - ERPs

KW - Orthographic learning

KW - Rapid word learning

UR - http://www.scopus.com/inward/record.url?scp=85105854613&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-71637-0_40

DO - 10.1007/978-3-030-71637-0_40

M3 - Article in proceedings

AN - SCOPUS:85105854613

SN - 9783030716363

T3 - Advances in Intelligent Systems and Computing

SP - 345

EP - 358

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

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

Y2 - 10 October 2020 through 16 October 2020

ER -