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Updated: May 23, 2025

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通过将贝叶斯的 priors 提炼成人工神经网络来建模快速语言学习

R Thomas McCoy1,2, Thomas L Griffiths3,4

  • 1Department of Linguistics, Yale University, 370 Temple St, New Haven, CT, 06511, USA. tom.mccoy@yale.edu.

Nature communications
|May 20, 2025
PubMed
概括

本研究提出了一种新的语言学习计算模型,它结合了贝叶斯模型和神经网络. 该模型有效地从有限的自然主义数据中学习,弥合了认知科学研究中的差距.

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Language Development01:22

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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