InSTIL/ICALL 2004 Symposium on Computer Assisted Learning June 17-19, 2004 Venice, Italy

The Incomplete Grammar Approach to the Development of a Strong-AI based ICALL System

Charles Grant Brown, Nathan Keim, Kevin Brammer, Lorne Flagel

Department of Computer Science, University of Northern British Columbia, Canada

The development of our ICALL system is supported by the Incomplete Grammar approach, which allows us to model the learner with a cognitively based system of hypotheses held by the Tutor module. An Incomplete Grammar model of a learner’s language performance includes Constituent Productions PC, Constituent Production Errors PCE , Lexical Productions PCL and Lexical Production Errors PLE in the learner model, but is incomplete in the target language space. The generation of the set of hypotheses of mal-rules (elements of PCE, and PLE) when language errors are detected is examined from a computational perspective. Dynamic evaluation and ranking of mal-rules is a challenge. We report on approaches to this problem. Strategies for further development are explored.

Full Paper

Bibliographic reference.  Brown, Charles Grant / Keim, Nathan / Brammer, Kevin / Flagel, Lorne (2004): "The incomplete grammar approach to the development of a strong-AI based ICALL system", In ICALL-2004, paper 051.