It is now standard in the psychological literature to assume that the functional architecture for the system involved in spelling a word from memory uses two routes, a phonological route and a lexically based route. We describe a modular connectionist model based on this dual route architecture. Both routes in the model, tested in isolation, are able to simulate important aspects of the relevant psychological data. Some progress has been made towards combining the two routes into a single system. In attempting a coherent connectionist account, however, we are forced to address from first principles the difficult problem of the synchronisation and integration of information from each route into an output which combines the capabilities of bo...
Reading researchers seek to discover exactly what kinds of information-processing activities go on i...
199 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The relationship between lear...
Traditional approaches to language processing have been based on explicit, discrete representations ...
The symbolic information-processing paradigm in cognitive psychology has seen a growing challenge fr...
This thesis investigates the question of whether feedforward connectionist networks construct a func...
Connectionist modeling (AKA neural network modeling, connectionism) is rapidly becoming a dominant d...
This paper reviews the impact of connectionism upon our understanding of brain-damaged language perf...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
If we want to explain cognitive processes with means of connectionist networks, these networks have ...
A connectionist feedforward network implementing a mapping from orthography to phonology is describe...
Connectionism -an interdisciplinary approach that draws heaüly from hard science- promises to be the...
Our interdisciplinary research focuses on the application of connectionist modelling techniques to t...
The ability to combine words into novel sentences has been used to argue that humans have symbolic l...
Does knowledge of language consist of mentally-represented rules? Rumelhart and McClelland have desc...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for...
Reading researchers seek to discover exactly what kinds of information-processing activities go on i...
199 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The relationship between lear...
Traditional approaches to language processing have been based on explicit, discrete representations ...
The symbolic information-processing paradigm in cognitive psychology has seen a growing challenge fr...
This thesis investigates the question of whether feedforward connectionist networks construct a func...
Connectionist modeling (AKA neural network modeling, connectionism) is rapidly becoming a dominant d...
This paper reviews the impact of connectionism upon our understanding of brain-damaged language perf...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
If we want to explain cognitive processes with means of connectionist networks, these networks have ...
A connectionist feedforward network implementing a mapping from orthography to phonology is describe...
Connectionism -an interdisciplinary approach that draws heaüly from hard science- promises to be the...
Our interdisciplinary research focuses on the application of connectionist modelling techniques to t...
The ability to combine words into novel sentences has been used to argue that humans have symbolic l...
Does knowledge of language consist of mentally-represented rules? Rumelhart and McClelland have desc...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for...
Reading researchers seek to discover exactly what kinds of information-processing activities go on i...
199 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The relationship between lear...
Traditional approaches to language processing have been based on explicit, discrete representations ...