A framework for unsupervised natural language morphology induction

  • Authors:
  • Christian Monson

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a framework for unsupervised natural language morphology induction wherein candidate suffixes are grouped into candidate inflection classes, which are then arranged in a lattice structure. With similar candidate inflection classes placed near one another in the lattice, I propose this structure is an ideal search space in which to isolate the true inflection classes of a language. This paper discusses and motivates possible search strategies over the inflection class lattice structure.