Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech

Understand

Child-directed speech (CDS) is a particular type of speech that adults use when addressing young children.

• Its properties also change as a function of extralinguistic factors, such as age of the child being addressed.
• Access to large amounts of representative and varied CDS would be useful for child language research, as this would enable controlled computational modeling experiments of infant language acquisition with realistic input in terms of quality and quantity.
• In this study, we describe an approach to model age-dependent linguistic properties of CDS using a language model (LM) trained on CDS transcripts and ages of the recipient children, as obtained from North American English corpora of the CHILDES database.