Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components
Abstract
Event-Related Potential (ERP) analyses have revealed several language-related components in sentence processing literature. More recently, researchers attempted to apply machine-learning techniques to classify the language-structure dependent ERP signals in a more reliable and efficient way. The purpose of the current paper is to propose a classification technique based on data-driven approach to detect syntactic anomaly from language-related...
Paper Details
Title
Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components
Published Date
Dec 1, 2019
Journal
Volume
52
Pages
53 - 61
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