The integrated model of lexical segmentation, word recognition, and inflectional morphology
| Project/Area Number |
20500237
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Cognitive science
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
MAKIOKA Shogo Osaka Prefecture University, 人間社会学部, 教授 (60264785)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 認知科学 / 実験系心理学 / 語彙獲得 / ニューラルネット |
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| Research Abstract |
Children are rarely given explicit information about word boundaries during their native language acquisition. However, they can somehow learn to segment a stream of speech into words and to recognize them. Simulations showed that the proposed model, called SegRec, could learn to segment utterances without an explicit teacher, and that the time course of the utterance recognition by the model fit the psychological data from the studies of auditory word recognition.
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Report
(4 results)
Research Products
(17 results)
