People process language at an incredibly fast speed. A speaker can easily produce several words per second, while a listener must decode the meaning of each word and integrate the meaning into the context at roughly the same speed. Native language (L1) speakers usually do this efficiently, and one way they achieve this efficiency is by predicting upcoming language. In contrast, non-native language (L2) comprehension is less efficient compared to L1 comprehension. A possible reason for less efficient L2 comprehension is that L2 speakers tend to predict to a lesser extent than L1 speakers. In this talk, I will present studies […]
Human language learning differs significantly across individuals in the process and ultimate attainment. Although decades of research exploring the neural substrates of language learning have identified distinct and overlapping brain networks subserving learning of different components, the neural mechanisms that drive the large interindividual differences in learning success are still far from being understood. In this talk, I will introduce recent works from my group on neural mechanisms of language learning across multiple components (e.g., auditory and speech category learning, word and grammar learning). With machine learning and predictive modeling techniques, we have identified potential neuromarkers that showed robust predictive powers [...]
This talk presents articulatory and acoustic data in order to investigate the non-coalescence of /h/ in South Jeolla. Seoul Korean speakers produce /pap/ ‘rice’ followed by /hana/ ‘one’ as [pa.pha.na] with the coalescence of /p/ and /h/; this is called an aspiration merger. In South Jeolla Korean, this merger may be blocked, as in cases where speakers produce /pap + hana/ as [pa.ba.na]. Electroglottographic (EGG) data indicates the existence of two groups of South Jeolla speakers: one that merges the plosive and /h/ (the merger group), and the other with the canonical South Jeolla Korean pronunciation that does not merge the [...]