A student model of Katakana reading proficiency for a Japanese language intelligent tutoring system Maciejewski, Anthony A. ; Kang, Yun-Sun "This material is based upon work supported by the National Science Foundation under Grant No. INT-8818039 and in part by a grant from NEC Corporation." This work describes the development of a student model that is used in a Japanese language intelligent tutoring system to assess a pupil's proficiency at reading one of the distinct orthographies of Japanese, known as katakana. While the effort required to memorize the relatively few katakana symbols and their associated pronunciations is not prohibitive, a major difficulty in reading katakana is associated with the phonetic modifications which occur when English words which are transliterated into katakana are made to conform to the more restrictive rules of Japanese phonology. The algorithm described here is able to automatically acquire a knowledge base of these phonological transformation rules, use them to assess a student's proficiency, and then appropriately individualize the students' instruction. Colorado State University. Libraries 1991 text ; image application/pdf ECEaam00061.pdf FACFECEN100061ARTI eng c1991 IEEE
A student model of Katakana reading proficiency for a Japanese language intelligent tutoring system
Maciejewski, Anthony A. ; Kang, Yun-Sun
"This material is based upon work supported by the National Science Foundation under Grant No. INT-8818039 and in part by a grant from NEC Corporation."
This work describes the development of a student model that is used in a Japanese language intelligent tutoring system to assess a pupil's proficiency at reading one of the distinct orthographies of Japanese, known as katakana. While the effort required to memorize the relatively few katakana symbols and their associated pronunciations is not prohibitive, a major difficulty in reading katakana is associated with the phonetic modifications which occur when English words which are transliterated into katakana are made to conform to the more restrictive rules of Japanese phonology. The algorithm described here is able to automatically acquire a knowledge base of these phonological transformation rules, use them to assess a student's proficiency, and then appropriately individualize the students' instruction.
Colorado State University. Libraries
1991
text ; image
application/pdf
ECEaam00061.pdf
FACFECEN100061ARTI
eng
c1991 IEEE