@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",

}