Abstract
We address the issue of how to associate frequency information with lexicalized grammar formalisms, using Lexicalized Tree Adjoining Grammar as a representative framework. We consider systematically a number of alternative probabilistic frameworks, evaluating their adequacy from both a theoretical and empirical perspective using data from existing large treebanks. We also propose three orthogonal approaches fo r backing off probability estimates to cope with the large number of parameters involved.- Anthology ID:
- 1997.iwpt-1.6
- Volume:
- Proceedings of the Fifth International Workshop on Parsing Technologies
- Month:
- September 17-20
- Year:
- 1997
- Address:
- Boston/Cambridge, Massachusetts, USA
- Editors:
- Anton Nijholt, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, Eva Hajicova, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Makoto Nagao, Mark Steedman, Masaru Tomita, K. Vijay-Shanker, David Weir, Kent Wittenburg, Mats Wiren
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 8–17
- Language:
- URL:
- https://aclanthology.org/1997.iwpt-1.6
- DOI:
- Cite (ACL):
- John Carroll and David Weir. 1997. Encoding Frequency Information in Lexicalized Grammars. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 8–17, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.
- Cite (Informal):
- Encoding Frequency Information in Lexicalized Grammars (Carroll & Weir, IWPT 1997)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/1997.iwpt-1.6.pdf