@inbook{761df373dcc144c7a80a77635e66a8b5,
title = "Hopfield Models as Neural-Network Acceptors",
abstract = "The use of neural networks for integrated linguistic analysis may be profitable. This paper presents the first results of our research on that subject: a Hopfield model for syntactical analysis. We construct a neural network as an implementation of a bounded push-down automaton, which can accept context-free languages with limited center-embedding. The network's behavior can be predicted a priori, so the presented theory can be tested. The operation of the network as an implementation of the acceptor is provably correct. Furthermore we found a solution to the problem of spurious states in Hopfield models: we use them as dynamically constructed representations of sets of states of the implemented acceptor. The so-called neural-network acceptor we propose, is fast but large.",
author = "Drossaers, {Marc F.J.}",
year = "1992",
language = "English",
series = "Twente Workshop on Language Technology",
publisher = "University of Twente",
pages = "57--66",
editor = "M.F.J. Drossaers and A. Nijholt",
booktitle = "Connectionism and Natural Language Processing",
address = "Netherlands",
note = "3rd Twente Workshop on Language Technology, TWLT 3, TWLT ; Conference date: 12-05-1992 Through 13-05-1992",
}