TY - JOUR
T1 - Decisions, decisions
T2 - Infant language learning when multiple generalizations are possible
AU - Gerken, Louann
N1 - Funding Information:
This research was supported by NIH grant #R01 HD042170. Thanks to Frances Balcomb, Andrew Barss, Rebecca Gómez, Jill Lany, Patrick Neher and Mary Peterson for comments on earlier drafts.
PY - 2006/1
Y1 - 2006/1
N2 - Two experiments presented infants with artificial language input in which at least two generalizations were logically possible. The results demonstrate that infants made one of the two generalizations tested, the one that was most statistically consistent with the particular subset of the data they received. The experiments shed light on how learners might go about solving the induction problem for human language.
AB - Two experiments presented infants with artificial language input in which at least two generalizations were logically possible. The results demonstrate that infants made one of the two generalizations tested, the one that was most statistically consistent with the particular subset of the data they received. The experiments shed light on how learners might go about solving the induction problem for human language.
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U2 - 10.1016/j.cognition.2005.03.003
DO - 10.1016/j.cognition.2005.03.003
M3 - Article
C2 - 15992791
AN - SCOPUS:30044438226
SN - 0010-0277
VL - 98
SP - B67-B74
JO - Cognition
JF - Cognition
IS - 3
ER -