| Project/Area Number |
17K01097
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Kinjo University |
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Principal Investigator |
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 視覚障害学生支援 / 墨字翻訳 / 全盲学生支援 / 墨字点訳 / 点訳システム / 点字翻訳 |
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| Outline of Final Research Achievements |
Our aim is to provide Braille students with the necessary Braille books promptly for blind students. For that, we used the Python language to convert it to Braille grammar. The conversion from Japanese to Braille was done using a parsing tool MeCab. However, the morpheme segmentation of MeCab was inaccurate, and we examined other methods that are not syntactic tools. As a result, we decided to create a translation program using AI Deep Learning. The data and analysis results used so far can be used as AI training data. Although the AI system we created is still part, the translation result was 99.86% correct. We will continue our research and aim to complete the system.
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| Academic Significance and Societal Importance of the Research Achievements |
覚障害学生にとって点字教科書や参考書はどうしても必要なものであるが、ソフト開発業者は収益が上がらないソフトウエアは開発しない。間違わずに点訳できるボランティア熟練者は少ない。点字文法は複雑で難しいうえに、時々変更される。熟練者は高齢であり、どんどん減っていく。コンピュータで100％翻訳させることが理想であるが、まだ行われていない。そのため今回は日本語形態素解析ツールやAIのDeep Learningを用いた。最新ITを用いることで、今までより、より100％に近づけることができた。
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