PHACTS about activation-based word similarity effects

  • Authors:

  • Basilio Calderone;Chiara Celata

  • Affiliations:

  • Université de Toulouse-Le Mirail, France;Laboratorio di Linguistica, Pisa, Italy

  • Venue:
  • Proceedings of the Workshop on Computational Models of Language Acquisition and Loss
  • Year:
  • 2012

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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. Limits and merits of the model are presented.