Abstract
Stochastic lexicalized context-free grammar (SLCFG) is an attractive compromise between the parsing efficiency of stochastic context-free grammar (SCFG) and the lexical sensitivity of stochastic lexicalized tree-adjoining grammar (SLTAG) . SLCFG is a restricted form of SLTAG that can only generate context-free languages and can be parsed in cubic time. However, SLCFG retains the lexical sensitivity of SLTAG and is therefore a much better basis for capturing distributional information about words than SCFG.- Anthology ID:
- 1993.iwpt-1.20
- Volume:
- Proceedings of the Third International Workshop on Parsing Technologies
- Month:
- August 10-13
- Year:
- 1993
- Address:
- Tilburg, Netherlands and Durbuy, Belgium
- Editors:
- Harry Bunt, Robert Berwick, Ken Church, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Makoto Nagao, Anton Nijholt, Mark Steedman, Henry Thompson, Masaru Tomita, K. Vijay-Shanker, Yorick Wilks, Kent Wittenburg
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 257–266
- Language:
- URL:
- https://aclanthology.org/1993.iwpt-1.20
- DOI:
- Cite (ACL):
- Yves Schabes and Richard C. Waters. 1993. Stochastic Lexicalized Context-Free Grammar. In Proceedings of the Third International Workshop on Parsing Technologies, pages 257–266, Tilburg, Netherlands and Durbuy, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- Stochastic Lexicalized Context-Free Grammar (Schabes & Waters, IWPT 1993)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/1993.iwpt-1.20.pdf