In the CLASS lab we work with participants from a broad age range (infancy to adulthood) and from various language backgrounds (monolinguals and multi-linguals, as well as those who are exposed to one versus many varieties of their native language). Our methodological toolbox includes eye-tracking, corpus analyses, and infant habituation paradigms (see below). To learn more about our approach to research, we invite you to read some of our recent methodological and theoretical overviews.
In 2023, thanks to new funding from CFI and NSERC-RTI, we will be adding infant ERP and infant head-mounted eye-tracking to our methodological toolbox. Check back soon to learn more!
We are excited to announce the release of BITTSy, a freely available infant and toddler behaviour testing system designed to facilitate cross-lab collaborations! BITTSy was created by Rochelle Newman and her team at the University of Maryland, with help from multiple labs (including our own). We thank NSF for funding the BITTSy initiative.
Corpus studies allow researchers to better understand children’s language input. We often use corpus studies to complement our experimental work. We have recently added LENA to our toolbox and look forward to using it more in the future.
The artificial languages we use typically consist of a small collection of nonsense words with carefully controlled phonological characteristics. By testing listeners’ ability to learn patterns embedded in these toy languages, we can test hypotheses about how real language acquisition works.