Abstracts
RULE LEARNING IN HUMANS AND ANIMALS
RAQUEL G. ALHAMA1 REMKO SCHA1 WILLEM ZUIDEMA1
1Institute of Logic, Language and Computation, University of Amsterdam, Science Park 107, Amsterdam, 1098XG, The Netherlands
In recent years, artificial language learning experiments have revealed a rich and complex picture of the abilities of different species and different human age groups to discover simple patterns in sequences. In one influential study, Aslin et al. (1998) show that human infants use transitional probabilities (TP's), and not just co-occurrence frequencies, between adjacent syllables in a monotonous stream of speech to segment it into word-like units…


