Error diagnosting and selection in a training system for second language learning
نویسنده
چکیده
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 concentrate s on an exact localization of rule violations, but if desired is able to infer information about factual faults as well.
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تاریخ انتشار 1988