Error diagnosing and selection in a training system
Wolfgang Menzel · 1988
A diagnosing procedure to be used in intelligent systems for language instruction is presented. Based on a knowledge representation scheme for a certain class of syntactic correctness conditions the system carries out a thorough analysis of possible error hypotheses and their consequences. A comparison with earlier attempts shows a clearly improved precision of diagnostic results. First of all, the procedure concentrates on an exact localization of rule violations, but - if desired - is able to infer information about factual faults as well.