Self-Consistency as an Inductive Bias in Early Language Acquisition

要旨

In this paper we introduce an inductive bias for language acquisition under a view where learning of the various levels of linguistic structure takes place interactively.The bias encourages the learner to choose sound systems that lead to more "semantically coherent" lexicons.We quantify this coherence using an intrinsic and unsupervised measure of predictiveness called "self-consistency."We found self-consistency to be optimal under the true phonemic inventory and the correct word segmentation in English and Japanese.

主題