English phonotactic learning is modeled by means of the PHACTS algorithm, a topological neuronal receptive field implementing a phonotactic activation function aimed at capturing both local (i.e., phonemic) and global (i.e., word-level) similarities among strings. The limits and merits of the model are presented.
PHACTS about activation-based word similarity effects
Celata C
2012
Abstract
English phonotactic learning is modeled by means of the PHACTS algorithm, a topological neuronal receptive field implementing a phonotactic activation function aimed at capturing both local (i.e., phonemic) and global (i.e., word-level) similarities among strings. The limits and merits of the model are presented.File in questo prodotto:
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