Combining distributional and morphological information for part of speech induction

  • Authors:
  • Alexander Clark

  • Affiliations:
  • University of Geneva, Switzerland

  • Venue:
  • EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
  • Year:
  • 2003

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Abstract

In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We show how the use of morphological information can improve the performance on rare words, and that this is robust across a wide range of languages.