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Analyzing student assimilation of Japanese phonological transformation rules

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Maciejewski, Anthony A., author
Kang, Yun-Sun, author
IEEE, publisher

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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.

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natural languages
intelligent tutoring systems
estimation theory
Bayes methods

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