Purpose
Fathers play a critical but underresearched role in their children's cognitive and linguistic development. Focusing on two-parent families with a mother and a father, the present longitudinal study explores the amount of paternal input infants hear during the first 2 years of life, how this input changes over time, and how it relates to child volubility. We devote special attention to parentese, a near-universal style of infant-directed speech, distinguished by its higher pitch, slower tempo, and exaggerated intonation.
Method
We examined the daylong recordings of the same 23 infants at ages 6, 10, 14, 18, and 24 months, given English-speaking families. The infants were recorded in the presence of their parents (mother–father dyads), who were predominantly White and ranged from mid to high socioeconomic status (SES). We analyzed the effects of parent gender and child age on adult word counts and parentese, as well as the effects of maternal and paternal word counts and parentese on child vocalizations.
Results
On average, the infants were exposed to 46.8% fewer words and 51.9% less parentese from fathers than from mothers, even though paternal parentese grew at a 2.8-times faster rate as the infants aged. An asymmetry emerged where maternal word counts and paternal parentese predicted child vocalizations, but paternal word counts and maternal parentese did not.
Conclusions
While infants may hear less input from their fathers than their mothers in predominantly White, mid-to-high SES, English-speaking households, paternal parentese still plays a unique role in their linguistic development. Future research on sources of variability in child language outcomes should thus control for parental differences since parents' language can differ substantially and differentially predict child language.
We introduce an iconic approach to artificial language learning, one that replaces traditional phonologically-grounded stimuli with pictographic writing systems. Conducting an experiment with English speakers, we demonstrate the viability of this approach by reproducing word order effects observed in multiple studies (e.g., Culbertson & Adger, 2014; Martin, Holtz, Abels, Adger, & Culbertson, 2020). Importantly, iconic artificial languages make it possible to re-use the same linguistic stimuli with diverse language populations, facilitating crosslinguistic investigations.
The deaccentuation of given and/or repeated elements is familiar from many dialects of English. We propose that deaccentuation is essentially an optional postlexical phonological process of stress retraction triggered by two constraints: *Stress-Copy, which assigns a violation to a stress peak on a word with a segmentally identical copy in the left context, and Rightmost, which assigns a violation to every word between a stress peak and the right phrase edge. We quantify deaccentuation by defining it as being perceived with less stress than expected, where expected stress is calculated by an implementation of Liberman and Prince's (1977) phrasal stress algorithm. We provide empirical evidence for our analysis based on the first inaugurals of six former U.S. presidents.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.