| 研究開始時の研究の概要 |
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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