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

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  • Beatriz Bermúdez-Margaretto, National research university higher school of economics
  • ,
  • Grigory Kopytin, National research university higher school of economics
  • ,
  • Andriy Myachykov, Northumbria University, National research university higher school of economics
  • ,
  • Yury Shtyrov

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.

OriginalsprogEngelsk
TitelAdvances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020
RedaktørerBoris M. Velichkovsky, Pavel M. Balaban, Vadim L. Ushakov
Antal sider14
ForlagSpringer
Udgivelsesår2021
Sider345-358
ISBN (trykt)9783030716363
DOI
StatusUdgivet - 2021
Begivenhed9th International Conference on Cognitive Sciences, Intercognsci 2020 - Moscow, Rusland
Varighed: 10 okt. 202016 okt. 2020

Konference

Konference9th International Conference on Cognitive Sciences, Intercognsci 2020
LandRusland
ByMoscow
Periode10/10/202016/10/2020
SerietitelAdvances in Intelligent Systems and Computing
Vol/bind1358
ISSN2194-5357

Bibliografisk note

Funding Information:
Acknowledgments. The study was funded by a grant from the Russian Science Foundation (project No. 19–78-00140).

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

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