A maximum entropy/minimum divergence translation model

  • Authors:
  • George Foster

  • Affiliations:
  • Université de Montréal

  • Venue:
  • ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2000

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Abstract

I present empirical comparisons between a linear combination of standard statistical language and translation models and an equivalent Maximum Entropy/Minimum Divergence (MEMD) model, using several different methods for automatic feature selection. The MEMD model significantly outperforms the standard model in test corpus perplexity, even though it has far fewer parameters.