In order to learn the mappings from words to referents, children must integrate co-occurrence information across individually ambiguous pairs of scenes and utterances, a challenge known as cross-situational word learning. In machine learning, recent multimodal neural networks have been shown to learn meaningful visual-linguistic mappings from…

How do children infer the meaning of a word? Current accounts of word learning assume that children expect a word to map onto exactly one concept whose members form a coherent category. If this assumption was strictly true, children should infer that a homophone, such as "bat," refers to a single superordinate category that encompasses…

This article presents a rationale for making idioms and their use a mainstay of the second language (L2) curriculum. First, it offers a definition of the elusive term "idiom" as a point of departure for the ensuing discussion. Second, it offers five specific reasons why idiom instruction should be integrated into the L2 curriculum: here,…

The problem of recognizing phonological variations in the speech input has triggered numerous treatments in speech processing models. Two areas of current controversy are the possibility of phonological underspecification in the mental lexicon and the nature of the mapping mechanism from the speech signal to the abstract lexical entry. We present…