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 language | English |
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Title of host publication | COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1089-1096 |
Number of pages | 8 |
ISBN (Print) | 1932432655, 9781932432657 |
DOIs | |
State | Published - 2006 |
Event | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, NSW, Australia Duration: 17 Jul 2006 → 21 Jul 2006 |
Publication series
Name | COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
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Volume | 1 |
Conference
Conference | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 |
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Country/Territory | Australia |
City | Sydney, NSW |
Period | 17/07/06 → 21/07/06 |
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