| Título: | A Student Model of Technical Japanese Reading Proficiency for an Intelligent Tutoring System |
| Autores: |
Kang, Yun-Sun Maciejewski, Anthony A. |
| Fecha: | 2013-01-14 |
| Publicador: | Calico Journal |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: |
Japanese, Technical Literature, Intelligent Tutoring Systems, Natural Language Processing, Artificial Intelligence, Parsing |
| Descripción: | This article presents the development of a student model that is used in a Japanese language intelligent tutoring system to assess pupils' 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 a student's proficiency, and then appropriately individualize the student's instructions. |
| Idioma: | Inglés |
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