Local Rephrasing Suggestions for Supporing the Work of Writers

  • Authors:
  • Aurélien Max

  • Affiliations:
  • LIMSI-CNRS and Université Paris-Sud 11, Orsay, France

  • Venue:
  • GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, we present a framework for obtaining rephrasings for short text spans. Good candidates include paraphrases, but also more generally phrases that could help a writer revise a text with some shifts in meaning. The presented framework uses as its knowledge source bilingual aligned phrases learnt from parallel corpora. We present several models for selecting rephrasings, and we evaluate the selection power of candidate rephrasings on grammaticality, meaning preservationand authoring value. The approach is then discussed and future work is described.