千日语言学习：儿童日常语言学习模型

Abstract A longstanding challenge in developmental science is to understand how children learn language from naturalistic everyday input. To study this process, we leveraged the First 1,000 Days (1kD) dataset, which provides longitudinal, ultra-dense daily audiovisual recordings for individual children in their home environments. This unusually detailed, child-specific record of early experience enabled us to pair each child’s rich language input with a cognitively grounded learning agent, linking naturalistic experience (“nurture”) to internal learning mechanisms (“nature”). Trained increment