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Modality transfer of acquired structural regularities: A preference for an acoustic route

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Forkstam,  Christian
Technical Group, MPI for Psycholinguistics, Max Planck Society;
Neurobiology of Language Group, MPI for Psycholinguistics, Max Planck Society;
Cognitive Neurophysiology Research Group, Stockholm Brain Institute Karolinska Institute, Stockholm, Sweden;
Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, External Organizations;

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Petersson,  Karl Magnus
Neurobiology of Language Group, MPI for Psycholinguistics, Max Planck Society;
Unification, MPI for Psycholinguistics, Max Planck Society;
Cognitive Neurophysiology Research Group, Stockholm Brain Institute Karolinska Institute, Stockholm, Sweden;
Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, External Organizations;
Cognitive Neuroscience Research Group, Universidade do Algarve, Faro, Portugal;

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Forkstam-CogSci09-paper1265.pdf
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Citation

Forkstam, C., Jansson, A., Ingvar, M., & Petersson, K. M. (2009). Modality transfer of acquired structural regularities: A preference for an acoustic route. In N. Taatgen, & H. Van Rijn (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-3CB7-0
Abstract
Human implicit learning can be investigated with implicit artificial grammar learning, a simple model for aspects of natural language acquisition. In this paper we investigate the remaining effect of modality transfer in syntactic classification of an acquired grammatical sequence structure after implicit grammar acquisition. Participants practiced either on acoustically presented syllable sequences or visually presented consonant letter sequences. During classification we independently manipulated the statistical frequency-based and rule-based characteristics of the classification stimuli. Participants performed reliably above chance on the within modality classification task although more so for those working on syllable sequence acquisition. These subjects were also the only group that kept a significant performance level in transfer classification. We speculate that this finding is of particular relevance in consideration of an ecological validity in the input signal in the use of artificial grammar learning and in language learning paradigms at large.