Robust, applied morphological generation

  • Authors:
  • Guido Minnen;John Carroll;Darren Pearce

  • Affiliations:
  • University of Sussex, Brighton, UK;University of Sussex, Brighton, UK;University of Sussex, Brighton, UK

  • Venue:
  • INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

In practical natural language generation systems it is often advantageous to have a separate component that deals purely with morphological processing. We present such a component: a fast and robust morphological generator for English based on finite-state techniques that generates a word form given a specification of the lemma, part-of-speech, and the type of inflection required. We describe how this morphological generator is used in a prototype system for automatic simplification of English newspaper text, and discuss practical morphological and orthographic issues we have encountered in generation of unrestricted text within this application.