2002 Fiscal Year Final Research Report Summary
The Internet Japanese Language Education System with Automatic Assessment of Pronunciation International Field Testing and Evaluation
| Project/Area Number |
12558019
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Japanese language education
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| Research Institution | Iwate University |
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Principal Investigator |
MIWA Jouji Iwate University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (60125664)
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| Co-Investigator(Kenkyū-buntansha) |
MIZUSHIMA Yasutaka Datel Company, Technical Div., Manager, 技術部・代表取締役(研究職)
SATO Shigeru Tohoku University, International Student Center, Professor, 留学生センター, 教授 (40137592)
IMAISHI Motohisa Hiroshima Woman's Univ., Faculty of International Communication, Professor, 国際文化学部, 教授 (80093574)
NIYADA Katsuyuki Matsushita Electrical Industrial Co., Research Manager, 経営規格部, 主幹技師(研究職)
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| Project Period (FY) |
2000 – 2002
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| Keywords | e-Learning / Japanese Education / Pronunciation / Special Morae / Word Accent / CALL / Internet / Java Information Technology |
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| Research Abstract |
We have developed a CALL(Computer Assisted Language Learning) system delivered over the Internet for distance learning named e-Learning. The system is called as LESSON/J(Japanese Language Education System for Speech on an On-demand Network) for listening and pronunciation skills and uses the information technology such as Java and relational database. The system is web-based, therefore any learner can use anytime anywhere on their convenience. It is programmed with Java and it is operating system independent. In face-to-face classes, learners may feel shy or intimidated practicing pronunciation or listening, but they would feel more comfortable and confident doing so in e-Learning.
The materials for listening of Japanese are syllables, words, sentences, consonant pans, special morae and word accent. In the pronunciation, speech signals uttered by learners are automatically analyzed and evaluated. For special morae, the score is calculated as ability of pronunciation skill. And for word accent, a type of accent is decided such as 0,1,2 and so on. This information is useful for learners to achieve improvements.
Learners' scores and materials for listening and pronunciation are managed by a relational database. This will allow the system to keep track of the weak points of the learner. The system is also easy to use for teacher for class implementation. The system will be available at the following URL. http://sp.cis.iwate-u.ac.jp/sp/lesson/j/
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Research Products
(21 results)
