Parsing Domain Actions with Phrase-Level Grammars and Memory-Based Learners

Chad Langley, Alon Lavie


Abstract
In this paper, we describe an approach to analysis for spoken language translation that combines phrase-level grammar-based parsing and automatic domain action classification. The job of the analyzer is to transform utterances into a shallow semantic task-oriented interlingua representation. The goal of our hybrid approach is to provide accurate real-time analyses and to improve robustness and portability to new domains and languages.
Anthology ID:
W03-3014
Volume:
Proceedings of the Eighth International Conference on Parsing Technologies
Month:
April
Year:
2003
Address:
Nancy, France
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Note:
Pages:
127–136
Language:
URL:
https://www.aclweb.org/anthology/W03-3014
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W03-3014.pdf