Directional constraint evaluation in Optimality Theory

  • Authors:
  • Jason Eisner

  • Affiliations:
  • University of Rochester, Rochester, NY

  • Venue:
  • COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
  • Year:
  • 2000

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Abstract

Weighted finite-state constraints that can count unboundedly many violations make Optimality Theory more powerful than finite-state transduction (Frank and Satta, 1998). This result is empirically and computationally awkward. We propose replacing these unbounded constraints, as well as non-finite-state Generalized Alignment constraints, with a new class of finite-state directional constraints. We give linguistic applications, results on generative power; and algorithms to compile grammars into transducers.