SOUP: A Parser for Real-world Spontaneous Speech

Marsal Gavaldà


Abstract
This paper describes the key features of SOUP, a stochastic, chart-based, top-down parser, especially engineered for real-time analysis of spoken language with very large, multi-domain semantic grammars. SOUP achieves flexibility by encoding context-free grammars, specified for example in the Java Speech Grammar Format, as probabilistic recursive transition networks, and robustness by allowing skipping of input words at any position and producing ranked interpretations that may consist of multiple parse trees. Moreover, SOUP is very efficient, which allows for practically instantaneous backend response.
Anthology ID:
2000.iwpt-1.12
Volume:
Proceedings of the Sixth International Workshop on Parsing Technologies
Month:
February 23-25
Year:
2000
Address:
Trento, Italy
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
101–110
Language:
URL:
https://www.aclweb.org/anthology/2000.iwpt-1.12
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2000.iwpt-1.12.pdf