Combining learning approaches for incremental on-line parsing

Authors

Deryle W. Lonsdale, Brigham Young UniversityFollow
Michael B. Manookin, Brigham Young UniversityFollow

Keywords

Machine learning approaches, NL-Soar, Analogical modeling (AM), Hybrid system, Language modeling integration

Abstract

This paper discusses the integration of two different machine learning approaches to modeling language, NL-Soar and analogical modeling (AM). The resulting hybrid system is capable of functionality that is not possible when using only one of the systems in isolation. After a brief introduction of each system, an explanation is given of how AM is used to provide information useful to NL-Soar for two tasks. Examples are given, and related issues are outlined.

Original Publication Citation

Deryle Lonsdale and Michael Manookin (2004). Combining learning approaches for incrementalon-line parsing. Proceedings of the Sixth International Conference on Cognitive Modeling; Lawrence Erlbaum Associates, pp. 160-165.

BYU ScholarsArchive Citation

Lonsdale, Deryle W. and Manookin, Michael B., "Combining learning approaches for incremental on-line parsing" (2004). Faculty Publications. 6837.
https://scholarsarchive.byu.edu/facpub/6837

Document Type

Conference Paper

Publication Date

2004

Publisher

Lawrence Erlbaum Associates

Language

English

College

Humanities

Department

Linguistics

University Standing at Time of Publication

Associate Professor

Copyright Use Information

https://lib.byu.edu/about/copyright/