Reconciliation of unsupervised clustering, segmentation and cohesion

  • Authors:
  • David M. W. Powers

  • Affiliations:
  • The Flinders University of South Australia

  • Venue:
  • NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
  • Year:
  • 1998

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Abstract

This extended abstract examines the progress of a project on unsupervised language learning, and focuses on two different approaches to segmentation, as well as how cohesion may be generalized from it definitive morpho-syntactic instantiation. It is intended as a discussion paper, and outlines the specific hypotheses currenlty being tested.