Year: 2006
Type: article
Abstract: Several influential connectionist models of the word segmentation task (e.g.Cairns, Shillcock, Chater, & Levy, 1997;Christiansen, Allen, & Seidenberg, 1998) follow Elman (1990) in using simple recurrent networks (SRNs).The use of SRNs in this context appears to be traditional rather than independently motivated.This paper investigates whether alternatives to SRNs can achieve similar performance.Specifically, it reports a replication of part of Allen and Christiansen (1996), and a comparison with multi-layer perceptrons (MLPs).The major results are confirmed; however, the SRN topology is shown not to be necessary for the task addressed.MLPs perform equally well, even when they have access to less context.
Author: C. Anton Rytting
Institution: The Ohio State University
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2653817332