Abstract
The focus of the research described in this book was on developing a stochastic component for natural language understanding and on porting it to different applications, domains and languages. Making reference to well-tuned rule-based implementations enabled the comparison of both methods. Figure 7.1 illustrates the main differences in the development of rule-based and stochastic parsers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Notes
relative error reduction (%)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Minker, W., Waibel, A., Mariani, J. (1999). Summary of Results. In: Stochastically-Based Semantic Analysis. The Springer International Series in Engineering and Computer Science, vol 514. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5255-0_7
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5255-0_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7396-4
Online ISBN: 978-1-4615-5255-0
eBook Packages: Springer Book Archive