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Dynamic representations of stack- and queue-like syntactic structures

Grüning, A (2005) Dynamic representations of stack- and queue-like syntactic structures In: Ninth Neural Computation and Psychology Workshop Modelling Language, Cognition, and Action (NCPW9), 2004-09-08 - 2004-09-10, Plymouth, UK.

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Abstract

We present simulations on how simple recurrent networks (SRNs) learn to represent prototypical centre-embedding and cross-serial languages, and analyse the emerging network dynamics. The networks find solutions for the tasks that can be characterised as simple dynamical systems and yield an explanation why cross-serial languages in an SRN setting are harder to aquire.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
AuthorsEmailORCID
Grüning, AUNSPECIFIEDUNSPECIFIED
Date : May 2005
Identification Number : https://doi.org/10.1142/9789812701886_0015
Contributors :
ContributionNameEmailORCID
PublisherWorld Scientific Publishing, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:08
Last Modified : 28 Mar 2017 14:08
URI: http://epubs.surrey.ac.uk/id/eprint/713377

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