J. L. McCle[land and A, H. Kawamoto. Mechanisms of sentence processing. In McClelland and Rumelhart, eds, Parallel Distributed Processing, MIT Press, 1986.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....our simulation results, we first review previous connectionist approaches to natural language recursion. One way of approaching the problem of dealing with recursion in connectionist models is to hardwire symbolic structures directly into the architecture of the network (e.g. Fanty, 1985; McClelland Kawamoto, 1986; Miyata, Smolensky Legendre, 1993; Small, Cottrell Shastri, 1982) The network can therefore be viewed as a non standard implementation of a symbolic system, and can solve the problem of dealing with recursive natural language structures by virtue of its symbol processing abilities, just as ....

McClelland, J.L. & Kawamoto, A.H. (1986). Mechanisms of sentence processing. In J.

....Curtis, Atkins Haller, 1993) A further question is whether networks really learn rules at all, or merely approximate rule like behavior. Opinions differ on whether the latter is an important positive proposal, which may lead to a revision of the role of rules in linguistics (Rumelhart McClelland, 1986; Smolensky, 1988; but cf. Smolensky, this issue) or whether it is fatal to connectionist models of language (Pinker Prince, 1988) With these general issues in mind, we consider the five core domains which are the focus of discussion in Part I of this Special Issue. Speech Processing ....

....models of language (Pinker Prince, 1988) With these general issues in mind, we consider the five core domains which are the focus of discussion in Part I of this Special Issue. Speech Processing Connectionist modeling of speech processing was initiated by the influential TRACE model (McClelland Elman, 1986). This model has an interactive activation architecture: It consists of a sequence of layers of units. Units in the first layer are specific to phonetic CONNECTIONIST NATURAL LANGUAGE PROCESSING 5 features, units in the second layer to phonemes, and units in the third layer to words. Within ....

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McClelland, J.L. & Kawamoto, A.H. (1986). Mechanisms of sentence processing. In J.L.

..... The incommensurability trap might manifest itself in different ways. It is often presupposed that the level of explanation within cognitive science must necessarily be that of the classical paradigm. This is, for example evident when Prince Pinker (1989) in their criticism of the Rumelhart McClelland (1986) model of the acquisition of English past tense, assert that neuroscientists study firing rates, excitation, inhibition, plasticity; cognitive scientists study rules, representations, symbol systems (p. 1: my emphasis) If cognition has to be couched in terms of rules , symbols , and so on, ....

....on the third. 3.2 Network Architectures and n gram Stats One way of approaching the problem of dealing with recursion in connectionist models is to hardwire symbolic structures directly into the architecture of the network. Much early work in connectionist natural language processing (e.g. McClelland Kawamoto, 1986) adopted this implementational approach. Such connectionist re implementations of symbolic systems might have interesting computational properties and even be illuminating regarding the appropriateness of a particular style of symbolic model for distributed computation (Chater Oaksford, 1990a) ....

McClelland, J. L. and Kawamoto, A. H. (1986) Mechanisms of sentence processing. Chapter 19 in J. L. McClelland & D. E. Rumelhart (Eds.), Parallel Distributed Processing, Volume 2. Cambridge, Mass.: MIT Press.

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J. L. McCle[land and A, H. Kawamoto. Mechanisms of sentence processing. In McClelland and Rumelhart, eds, Parallel Distributed Processing, MIT Press, 1986.

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J. L. McClelland and A. H. Kawamoto. Mechanisms of sentence processing. In McClelland and Rumelhart, Parallel Distributed Processing, MIT Press, 1986.

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