Hostname: page-component-74656f9884-c52kr Total loading time: 0 Render date: 2026-11-09T06:56:06.854Z Has data issue: false hasContentIssue false
  • English
  • Français

An algorithm for the unsupervised learning of morphology

Published online by Cambridge University Press:  10 January 2006

JOHN GOLDSMITH
JOHN GOLDSMITH
Affiliation:
Departments of Linguistics and Computer Science, 1010 East 59th St., The University of Chicago, Chicago, IL 60637, USA e-mail: goldsmith@uchicago.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

This paper describes in detail an algorithm for the unsupervised learning of natural language morphology, with emphasis on challenges that are encountered in languages typologically similar to European languages. It utilizes the Minimum Description Length analysis described in Goldsmith (2001), and has been implemented in software that is available for downloading and testing.

Information

Type
Papers
Information
Natural Language Engineering , Volume 12 , Issue 4 , December 2006 , pp. 353 - 371
Copyright
2006 Cambridge University Press