New techniques for context modeling

  • Authors:
  • Eric Sven Ristad;Robert G. Thomas

  • Affiliations:
  • Princeton University;Princeton University

  • Venue:
  • ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
  • Year:
  • 1995

Quantified Score

Hi-index 0.00

Visualization

Abstract

We introduce three new techniques for statistical language models: extension modeling, nonmonotonic contexts, and the divergence heuristic. Together these techniques result in language models that have few states, even fewer parameters, and low message entropies.