It has been proposed that there are cognitive biases in language learning that favour certain patterns over others. This study examines the effects of such bias factors on the learning of the phonology of proper nouns. I take up the phenomenon of compound voicing in Japanese surnames. The results of two judgment experiments show that, while Japanese speakers replicate various kinds of statistical regularities in existing names, they tend to extend only phonologically motivated patterns to novel names. This suggests that phonological naturalness plays a role even in the learning of a highly faithful category of words, namely proper nouns, and provides evidence for the relevance of learning biases in synchronic grammar.

Non-linguistic pattern learning uses distinct implicit and explicit processes, which differ in behavioural signatures, inductive biases and proposed model architectures. This study asked whether both processes are available in phonotactic learning in the lab. Five Internet experiments collected generalisation, learning curves, response times and detailed debriefings from 671 valid participants. Implicit and explicit learners were found in all conditions and experiments. Objective measures of implicit vs. explicit learning were correlated with introspective self-report. Participants spontaneously discovered and named phonetic features. These findings contradict the common (usually tacit) assumption that ‘artificial-language’ participants learn only implicitly. Learning mode also affected inductive bias: Implicit learning improved performance on family-resemblance patterns relative to biconditionals (if-and-only-if, exclusive-or) in two experiments. The direction of this effect is unexpected under many current theories of how implicit and explicit concept learning differ, and is consistent with models of explicit learning which take pattern-irrelevant features into account.