Learning Language Using a Pattern Recognition Approach

  • William Katke

Abstract

A pattern recognition algorithm is described that learns a transition net grammar from positive examples. Two sets of examples -- one in English and one in Chinese -- are presented. It is hoped that language learning will reduce the knowledge acquisition effort for expert systems and make the natural language interface to database systems more transportable. The algorithm presented makes a step in that direction by providing a robust parser and reducing special interaction for introduction of new words and terms.
Published
1985-03-15
How to Cite
Katke, W. (1985). Learning Language Using a Pattern Recognition Approach. AI Magazine, 6(1), 64. https://doi.org/10.1609/aimag.v6i1.470
Section
Articles