Abstract
This article describes the architecture of the Survey Parser and discusses two major components related to the analogy-based parsing of unrestricted English. Firstly, it discusses the automatic generation of a large declarative formal grammar from a corpus that has been syntactically analysed. Secondly, it describes analogy-based parsing that employs both the automatically learned rules and the database of cases to determine the syntactic structure of the input string. Statistics are presented to characterise the performance of the parsing system.- Anthology ID:
- 2000.iwpt-1.10
- Volume:
- Proceedings of the Sixth International Workshop on Parsing Technologies
- Month:
- February 23-25
- Year:
- 2000
- Address:
- Trento, Italy
- Editors:
- Alberto Lavelli, John Carroll, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, John Carroll, Ken Church, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Anton Nijholt, Christer Samuelsson, Mark Steedman, Oliviero Stock, Hozumi Tanaka, Masaru Tomita, Hans Uszkoreit, K. Vijay-Shanker, David Weir, Mats Wiren
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 77–88
- Language:
- URL:
- https://aclanthology.org/2000.iwpt-1.10
- DOI:
- Cite (ACL):
- Alex Chengyu Fang. 2000. From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 77–88, Trento, Italy. Association for Computational Linguistics.
- Cite (Informal):
- From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy (Fang, IWPT 2000)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/2000.iwpt-1.10.pdf