Prediction of Second Language Proficiency Based on Electroencephalographic Signals Measured While Listening to Natural Speech.

ABSTRACT: This study had two goals: to clarify the relationship between electroencephalographic (EEG) features estimated while non-native speakers listened to a second language (L2) and their proficiency in L2 determined by a conventional paper test and to provide a predictive model for L2 proficiency based on EEG features. We measured EEG signals from 205 native Japanese speakers, who varied widely in English proficiency while they listened to natural speech in English. Following the EEG measurement, they completed a conventional English listening test for Japanese speakers. We estimated multivariate temporal response functions separately for word class, speech rate, word position, and parts of speech. We found significant negative correlations between listening score and 17 EEG features, which inc

SUBMITTER: Ihara AS 

PROVIDER: S-EPMC8322447 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature