Compiling language models from a linguistically motivated unification grammar

  • Authors:
  • Manny Rayner;Beth Ann Hockey;Frankie James;Elizabeth Owen Bratt;Sharon Goldwater;Jean Mark Gawron

  • Affiliations:
  • NASA Ames Research Center, Moffett Field, CA;NASA Ames Research Center, Moffett Field, CA;NASA Ames Research Center, Moffett Field, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA

  • Venue:
  • COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
  • Year:
  • 2000

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Abstract

Systems now exist which are able to compile unification grammars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial linguistically principled grammars can be used for this purpose. We describe a series of experiments which investigate the question empirically, by incrementally constructing a grammar and discovering what problems emerge when successively larger versions are compiled into finite state graph representations and used as language models for a medium-vocabulary recognition task.