Study on the well-formedness conditions of Japanese Sign Language by the assistance of machine learning
| Project/Area Number |
15K02536
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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 |
Linguistics
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| Research Institution | Toyota Technological Institute |
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Principal Investigator |
HARA Daisuke 豊田工業大学, 工学部, 教授 (00329822)
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| Co-Investigator(Kenkyū-buntansha) |
三輪 誠 豊田工業大学, 工学(系)研究科(研究院), 准教授 (00529646)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 日本手話 / 音節 / 音素配列論 / 適格性 / 機械学習 |
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| Outline of Final Research Achievements |
We have made two types of databases, one of which has 2,600 well-formed syllables of Japanese Sign Language(JSL), and the other of which 600 ill-formed syllables of JSL. In the databases, syllables are recorded as strings so syllable-constituting elements. Using the two types of databases thus made both for the inputs to machine learning and for linguistic phonotactic analyses, we have found some combinations of syllable-constituting elements that cause JSL well-formed and ill-formed syllables. We have also found what types of elements are involved in the syllable formation of JSL and also a prototypical combination of syllable-constituting elements for the type III syllable, in which one hand moves while the other hand is still.
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Report
(4 results)
Research Products
(5 results)
