Automatic acquisition of feature-based phonotactic resources

  • Authors:
  • Julie Carson-Berndsen;Robert Kelly;Moritz Neugebauer

  • Affiliations:
  • University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland

  • Venue:
  • SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
  • Year:
  • 2004

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Abstract

Automata induction and typed feature theory are described in a unified framework for the automatic acquisition of feature-based phonotactic resources. The viability of this data-driven procedure is illustrated with examples taken from a corpus of syllable-labelled data.