The present study examined how differences in onset (cohort) and offset (rhyme) neighborhood density influence the types of spoken word recognition errors made by listeners. Simulations of the TRACE model were used to derive preliminary predictions. Younger (N=15) and older (N=15) adults identified spoken words presented in moderate noise. Participants exhibited the standard inhibitory effect o...

Phonological awareness is an important precursor in learning to read. This awareness of phonemes fosters a child’s ability to hear and blend sounds, encode and decode words, and to spell phonetically. This quantitative study assessed pre-K children’s existing Euro-American nursery rhyme knowledge and phonological awareness literacy, provided phonological awareness training with an experimental ...

INTRODUCTION When and where phonological processing occurs in the brain is still under some debate. Most paired-rhyme and phonological priming studies used word stimuli, which involve complex neural networks for word recognition and semantics. This study investigates early (<300 ms) and late (>300 ms) orthographic and phonological processing of letters. METHODS Fifteen participants aged 20-35...

This paper describes an unsupervised, language-independent model for finding rhyme schemes in poetry, using no prior knowledge about rhyme or pronunciation.

Rhyme processing is reflected in the electrophysiological signals of the brain as a negative deflection for non-rhyming as compared to rhyming stimuli around 450 ms after stimulus onset. Studies have shown that this N450 component is not solely sensitive to rhyme but also responds to other types of phonological overlap. In the present study, we examined whether the N450 component can be used to...

We attack a woefully under-explored language genre—lyrics in music—introducing a novel hidden Markov model based method for completely unsupervised identifica-tion of rhyme schemes in hip hop lyrics, which to the best of our knowledge, is the first such effort. Unlike previous approaches that use supervised or semi-supervised approaches for the task of rhyme scheme identification, our model doe...

Phonological deficits in dyslexia are typically assessed using metalinguistic tasks vulnerable to extraneous factors such as attention and memory. The present work takes the novel approach of measuring phonology using eyetracking. Eye movements of dyslexic children were monitored during an auditory word recognition task in which target items in a display (e.g., candle) were accompanied by distr...