Highly constrained unification grammars

Daniel Feinstein, Shuly Wintner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Unification grammars are widely accepted as an expressive means for describing the structure of natural languages. In general, the recognition problem is undecidable for unification grammars. Even with restricted variants of the formalism, offline parsable grammars, the problem is computationally hard. We present two natural constraints on unification grammars which limit their expressivity. We first show that non-reentrant unification grammars generate exactly the class of contextfree languages. We then relax the constraint and show that one-reentrant unification grammars generate exactly the class of tree-adjoining languages. We thus relate the commonly used and linguistically motivated formalism of unification grammars to more restricted, computationally tractable classes of languages.

Original languageEnglish
Title of host publicationCOLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1089-1096
Number of pages8
ISBN (Print)1932432655, 9781932432657
DOIs
StatePublished - 2006
Event21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, NSW, Australia
Duration: 17 Jul 200621 Jul 2006

Publication series

NameCOLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Volume1

Conference

Conference21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006
Country/TerritoryAustralia
CitySydney, NSW
Period17/07/0621/07/06

Bibliographical note

Funding Information:
The authors would like to thank the anonymous reviewers for their comments and Soricut et al. [13], Jindal et al. [5], and Fei et al.[3] for making their resources available. This work was financially supported by NSERC.

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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