This study examined how providing either primary‐or English‐language storybooks for
home reading followed by classroom storybook reading and vocabulary instruction in …

A large body of empirical research, accumulated over the last twenty years, has set the
foundations for a generic model of word comprehension in relatively fluent bilinguals (the …

This volume is the first handbook dedicated to language attrition, the study of how a
speaker's language may be affected by crosslinguistic interference and non-use. The effects …

Abstract Words are the essence of communication: They are the building blocks of any
language. Learning the meaning of words is thus one of the most important aspects of …

Neural networks are successfully used to imitate and model cognitive processes. However,
to provide clues about the neurobiological mechanisms enabling human cognition, these …

Learning to use language in an adult-like way is a long-lasting process. This may
particularly apply to complex conceptual domains such as emotions. The present study …

Recent theory and experiments offer a new solution regarding how infant learners may
break into word learning by using cross-situational statistics to find the underlying word …

In recent work in cognitive science, it has been proposed that cognition is a self-organizing,
dynamical system. However, capturing the real-time dynamics of cognition has been a …

We present a neurocomputational model with self-organizing maps that accounts for the
emergence of taxonomic responding and fast mapping in early word learning, as well as a …

In this paper we present an unsupervised neural network model of bilingual lexical
development and interaction. We focus on how the representational structures of the …