Kang, Yun-Sun, authorMaciejewski, Anthony A., authorCALICO, publisher2007-01-032007-01-031995-2005Kang, Yun-Sun and Anthony A. Maciejewski, A Student Model of Technical Japanese Reading Proficiency for an Intelligent Tutoring System, CALICO Journal 18, no. 1 (September 2000): 1-39. https://calico.org/memberBrowse.php?action=article&id=498http://hdl.handle.net/10217/67362This paper presents the development of a student model that is used in a Japanese language intelligent tutoring system to assess a pupil's proficiency at reading technical Japanese. A computer-assisted knowledge acquisition system is designed to generate a domain knowledge base for a Japanese language intelligent tutoring system. The domain knowledge represents a model of the expertise that a native English speaker must acquire in order to be proficient at reading technical Japanese. The algorithms described here are able to generate a set of grammatical transformation rules that clarify changes of syntactic structures between a Japanese text and its corresponding English translation, use them to assess the student's proficiency, and then appropriately individualize the student's instructions.born digitalarticlesjpn©2000 CALICO.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.artificial intelligencenatural language processingparsingintelligent tutoring systemstechnical literatureJapaneseTexthttps://calico.org/memberBrowse.php?action=article&id=498