Computational and Experimental Methods

We examine the relationship of lexical representations, pronunciation variation, and word recognition, by investigating effects of two lexical variables: Phonological Neighborhood Density (the number of words that can be formed by a single phoneme substitution, addition, or deletion from the target word), as well as a measure of the perceptual similarity of a target word to other words in the lexicon. We show that perceptual similarity to other words affects recognition, but not production. Phonological Neighborhood Density, on the other hand, affects both word durations and...

Recent phylogenetic studies in historical linguistics have focused on lexical data. However, the way that such data are coded into characters for phylogenetic analysis has been approached in different ways, without investigating how coding methods may affect the results. In this paper, we compare three different coding methods for lexical data (multistate meaning-based characters, binary root-meaning characters, and binary cognate characters) in a Bayesian framework, using data from the Tupí-Guaraní and Chapacuran language families as case studies. We show that, contrary to prior...

Neural representations of words are thought to have a complex spatio-temporal cortical basis. It has been suggested that spoken word recognition is not a process of feed-forward computations from phonetic to lexical forms, but rather involves the online integration of bottom-up input with stored lexical knowledge. Using direct neural recordings from the temporal lobe, we examined cortical responses to words and pseudowords. We found that neural populations were not only sensitive to lexical status (real vs. pseudo), but also to cohort size (number of words matching the phonetic input at...

A complete neurobiological understanding of speech motor control requires determination of the relationship between simultaneously recorded neural activity and the kinematics of the lips, jaw, tongue, and larynx. Many speech articulators are internal to the vocal tract, and therefore simultaneously tracking the kinematics of all articulators is nontrivial — especially in the context of human electrophysiology recordings. Here, we describe a noninvasive, multi-modal imaging system to monitor vocal tract kinematics, demonstrate this system in six speakers during production of nine American...