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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maciejewski, A.A. Kang, Y.-S. |
| Copyright Year | 1971 |
| Abstract | 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 algorithms described here are 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 student's instruction.< |
| Starting Page | 1347 |
| Ending Page | 1357 |
| Page Count | 11 |
| File Size | 1128058 |
| File Format | |
| ISSN | 00189472 |
| Volume Number | 24 |
| Issue Number | 9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Natural languages Intelligent systems Writing Intelligent structures Dictionaries Failure analysis State estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Engineering |
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