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
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 101–110
- Language:
- URL:
- https://aclanthology.org/2000.iwpt-1.12
- DOI:
- Cite (ACL):
- Marsal Gavaldà. 2000. SOUP: A Parser for Real-world Spontaneous Speech. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 101–110, Trento, Italy. Association for Computational Linguistics.
- Cite (Informal):
- SOUP: A Parser for Real-world Spontaneous Speech (Gavaldà, IWPT 2000)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2000.iwpt-1.12.pdf