Computing optimal descriptions for Optimality Theory grammars with context-free position structures

  • Authors:
  • Bruce Tesar

  • Affiliations:
  • Rutgers University, Piscataway, NJ

  • Venue:
  • ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
  • Year:
  • 1996

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Abstract

This paper describes an algorithm for computing optimal structural descriptions for Optimality Theory grammars with context-free position structures. This algorithm extends Tesar's dynamic programming approach (Tesar, 1994) (Tesar, 1995a) to computing optimal structural descriptions from regular to context-free structures. The generalization to context-free structures creates several complications, all of which are overcome without compromising the core dynamic programming approach. The resulting algorithm has a time complexity cubic in the length of the input, and is applicable to grammars with universal constraints that exhibit context-free locality.