| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
In this research, an information extraction and analysis method for digitized ancient Mongolian historical documents is proposed. The proposed method extracts features from historical manuscripts by utilizing deep learning techniques. Extracted deep features are utilized for building retrieval systems that encode the interpretations of ancient Mongolian words, as well as features for recognizing different letters with the same shape. Digital representations of ancient historical manuscripts with annotated ancient Mongolian texts along with the scanned images of manuscripts could be used as scholarly tools. The proposed methods were applied not only to Mongolian historical manuscripts but also to Oracle bone script and Ukiyo-e, a Japanese traditional art.
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