Implementation of Convolutional Neural Networks in testing a Dual Lexical System

Abstract

Gow's (2012) dual lexicon model proposes that wordforms are represented independently in the dorsal and ventral speech processing streams. In this paper I will describe work using convolutional neural networks trained on cochleagrams of 685,000 tokens of spoken words to explore computational pressures that contributed to the emergence of parallel lexica.