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Free keywords:
statistical learning; word segmentation; syntax; transition probability; Markov chain; magnetoencephalography
Abstract:
Satistical learning in auditory domain has been predominantly investigated as an effect of word segmentation in speech sequences by psychological studies based on behavioral measures, and few neurophysiological studies have been conducted. Random concatenation of pseudo-words that consist of three syllables, which has been widely used to study word segmentation, can be regarded as a simple Markov chain. By introducing more generalized and higher order stochastic processes into
stimulus sequence, neurophysiological measure of statistical learning may potentially shed light on the new aspect of human learning strategy. In this paper, recent findings that have been published are
briefly reviewed.
