| CCL | The Comparative Communication Laboratory |
![]() |
|---|---|---|
Infant Research at the CCL |
|
|---|
Infants in the process of acquiring language
must overcome many significant difficulties. One such difficulty is learning
to segment the words of the language. Unlike orthography, spoken language
does not afford reliable cues for segmentation that are stable across languages.
One mechanism that has been shown to be useful for young infants in solving
this task is the tracking of the co-occurrence of different sounds. Many
investigators have studied this type of statistical learning and have established
that this mechanism is not domain specific for language and is actually
available to other species as well. One of the main research programs at
the CCL involves studying statistical learning mechanisms in order to determine
what types of computations infants are capable of performing. In addition,
we are very interested in how infants deal with multiple language input.
Are infants capable of forming multiple representations for each language?
This is a question we hope to answer using artificial language stimuli.
In addition to studying statistical learning mechanisms as applied to
word segmentation studies, we also study them in the context of phonetic
learning. During the first year of life, infants transform from generalized
discriminators of speech sounds into more adult-like discriminators. For
example, at 6 months of age, Japanese infants can discriminate English
/r/ and /l/, but at 12 months they struggle (as do native Japanese adults).
In collaboration with Jessica Maye at Northwestern, we are studying a
statistical learning account for this effect. Relevant articles Maye J., Weiss, D.J. & Aslin R.N. (In review) Statistical phonetic
learning in infants: Facilitation and feature generalization. Developmental
Science |