Memory for verbal material improves when words form familiar chunks. But how does the improvement due to chunking come about? Two possible explanations are that the input might be actively recoded into chunks, each of which takes up less memory capacity than items not forming part of a chunk (a form of data compression), or that chunking is based…

Human word learning is remarkable: We not only learn thousands of words but also form organized semantic networks in which words are interconnected according to meaningful links, such as those between "apple," "juicy," and "pear." These links play key roles in our abilities to use language. How do words become…

An important issue in theories of word learning is how abstract or context-specific representations of novel words are. One aspect of this broad issue is how well learners maintain information about the source of novel words. We investigated whether listeners' source memory was better for words learned from members of their in-group (students of…

We investigated whether bilinguals' integration of a code-switch during real-time comprehension, which involves resolving among conflicting linguistic representations, modulates the deployment of cognitive-control mechanisms. In the current experiment, Spanish-English bilinguals (N = 48) completed a cross-task conflict-adaptation paradigm that…

The aim of this study was twofold: first, to develop an experimental technique as a tool to investigate learning outcomes of spontaneous, naturalistic second language (L2) learning under controlled laboratory conditions; and second, to explore how this technique can be used to understand the basic conditions and limits of this learning. Two…

Second languages (L2s) are often learned through spoken and written input, and L2 orthographic forms (spellings) can lead to non-native-like pronunciation. The present study investigated whether orthography can lead experienced learners of English[subscript L2] to make a phonological contrast in their speech production that does not exist in…