Computing Optimal Descriptions for Optimality Theory Grammars with Context-Free Position Structures
cmp-lg
2008-02-03 v1 Computation and Language
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 1995] 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.
Cite
@article{arxiv.cmp-lg/9606020,
title = {Computing Optimal Descriptions for Optimality Theory Grammars with Context-Free Position Structures},
author = {Bruce Tesar},
journal= {arXiv preprint arXiv:cmp-lg/9606020},
year = {2008}
}
Comments
7 pages, uses aclap.sty. To appear in ACL 1996