The SED heuristic for morpheme discovery: a look at Swahili

  • Authors:
  • Yu Hu;Irina Matveeva;John Goldsmith;Colin Sprague

  • Affiliations:
  • The University of Chicago, Chicago, IL;The University of Chicago, Chicago, IL;The University of Chicago, Chicago, IL;The University of Chicago, Chicago, IL

  • Venue:
  • PMHLA '05 Proceedings of the Workshop on Psychocomputational Models of Human Language Acquisition
  • Year:
  • 2005

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Abstract

This paper describes a heuristic for morpheme- and morphology-learning based on string edit distance. Experiments with a 7,000 word corpus of Swahili, a language with a rich morphology, support the effectiveness of this approach.