Journal of Undergraduate Research
Keywords
morphological parser, soar, artificial intelligence, architecture
College
Humanities
Department
Linguistics and English Language
Abstract
Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks. Psychologists, AI game developers, linguists, and others interested in cognitive modeling use and develop this open architecture. LG-Soar is a project within the general Soar framework that deals with the processing and modeling of natural languages, using the Link Grammar syntactic parser. LG-Soar has been excellent in its ability to accurately and robustly parse English sentences, but the ability to handle morphology, or the individual pieces of a word, had not been adequately addressed. Workarounds had been pieced together for LG-Soar’s handling of English, but a major limitation existed for the internationalization of Soar without a morphological parser. My research addressed this issue by developing an interface to integrate a morphological parser into LG-Soar.
Recommended Citation
Dehdari, Jonathan and Lonsdale, Dr. Deryle
(2013)
"Integration of a Morphological Parser into the Soar Artificial Intelligence Architecture,"
Journal of Undergraduate Research: Vol. 2013:
Iss.
1, Article 889.
Available at:
https://scholarsarchive.byu.edu/jur/vol2013/iss1/889