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Predictive coding in children's context-based learning of homophones

Research Project

Project/Area Number 24KF0103
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeMulti-year Fund
Section外国
Review Section Basic Section 02060:Linguistics-related
Research InstitutionThe University of Tokyo

Principal Investigator

長井 志江  東京大学, ニューロインテリジェンス国際研究機構, 特任教授 (30571632)

Co-Investigator(Kenkyū-buntansha) LU YOUTAO  東京大学, ニューロインテリジェンス国際研究機構, 外国人特別研究員
Project Period (FY) 2024-07-26 – 2027-03-31
Project Status Granted (Fiscal Year 2024)
Budget Amount *help
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2026: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 2025: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2024: ¥900,000 (Direct Cost: ¥900,000)
Outline of Research at the Start

This research examines children’s homophone learning under the framework of predictive coding. It includes 1)corpus analysis to quantify the frequency of homophone and disambiguating syntactic and semantic cues in children’s language input, 2)experimentation to test children’s usage of these cues when learning a novel homophone, 3)computational modeling to examine the predictivity and learnability of homophones based on the provided cues, and 4)comparison between Japanese (a homophone-rich language) and English (a homophone-sparse language) to elucidate the impact of language background.

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Published: 2024-07-29   Modified: 2024-09-09  

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