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Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)
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In: Behav Res Methods (2022)
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Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts
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In: Perspect Psychol Sci (2020)
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Neurobiological signatures of L2 proficiency: Evidence from a bi-directional cross-linguistic study
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Linguistic entrenchment: prior knowledge impacts statistical learning performance
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In: Cognition (2018)
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Towards a theory of individual differences in statistical learning
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Universal brain signature of proficient reading: Evidence from four contrasting languages.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 112, iss 50 (2015)
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Universal brain signature of proficient reading: Evidence from four contrasting languages
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Lexical support for phonetic perception during nonnative spoken word recognition
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Statistical learning as an individual ability: Theoretical perspectives and empirical evidence
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What can we learn from learning models about sensitivity to letter-order in visual word recognition?
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Abstract:
Recent research on the effects of letter transposition in Indo-European Languages has shown that readers are surprisingly tolerant of these manipulations in a range of tasks. This evidence has motivated the development of new computational models of reading that regard flexibility in positional coding to be a core and universal principle of the reading process. Here we argue that such approach does not capture cross-linguistic differences in transposed-letter effects, nor do they explain them. To address this issue, we investigated how a simple domain-general connectionist architecture performs in tasks such as letter-transposition and letter substitution when it had learned to process words in the context of different linguistic environments. The results show that in spite of of the neurobiological noise involved in registering letter-position in all languages, flexibility and inflexibility in coding letter order is also shaped by the statistical orthographic properties of words in a language, such as the relative prevalence of anagrams. Our learning model also generated novel predictions for targeted empirical research, demonstrating a clear advantage of learning models for studying visual word recognition.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/25431521
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4242428/
https://doi.org/10.1016/j.jml.2014.09.002
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The flexibility of letter-position flexibility: evidence from eye-movements in reading Hebrew
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What predicts successful literacy acquisition in a second language?
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