Partial Parsing with Grammatical Features

Natasa Manousopoulou, George Papakonstantinou, Panayotis Tsanakas


Abstract
This paper describes a rule based method for partial parsing, particularly for noun phrase recognition, which has been used in the development of a noun phrase recognizer for Modern Greek. This technique is based on a cascade of finite state machines, adding to them a characteristic very crucial in the parsing of words with free word order: the simultaneous examination of part of speech and grammatical feature information, which are deemed equally important during the parsing procedure, in contrast with other methodologies.
Anthology ID:
2000.iwpt-1.38
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:
311–312
Language:
URL:
https://aclanthology.org/2000.iwpt-1.38
DOI:
Bibkey:
Cite (ACL):
Natasa Manousopoulou, George Papakonstantinou, and Panayotis Tsanakas. 2000. Partial Parsing with Grammatical Features. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 311–312, Trento, Italy. Association for Computational Linguistics.
Cite (Informal):
Partial Parsing with Grammatical Features (Manousopoulou et al., IWPT 2000)
Copy Citation:
PDF:
https://aclanthology.org/2000.iwpt-1.38.pdf