
handle: 10217/1210
This work describes a method for statistically analyzing a student's proficiency at reading one of the distinct orthographies of Japanese, known as katakana. The result of the analysis is being applied to a Japanese language intelligent tutoring system for appropriately individualizing the student's instruction.
natural languages, estimation theory, Bayes methods, intelligent tutoring systems
natural languages, estimation theory, Bayes methods, intelligent tutoring systems
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