Add to ORKGConnectionist modeling (AKA neural network modeling, connectionism) is rapidly becoming a dominant descriptive and theoretical tool for the psycholinguist. Below is a brief introduction to some of the terms and concepts used in connectionist modeling. Connectionist models are no different than any other sorts of theories in cognitive science, they merely offer a new computational toolbox, or set of algorithmic constraints on models and theories of cognitive phenomena. In this paper I review many of the important components of connectionist models and introduce some of strengths, pitfalls and caveats that casual readers and serious modelers must be aware of
Linguists have historically favored symbolic, rule-based models to explain the human language facult...
Connectionist models have had a profound impact on theories of language. While most earlymodelswere ...
The field of formal linguistics was founded on the premise that language is mentally represented as ...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for ...
In the past twenty years the connectionist approach to language development and learning has emerged...
Traditional approaches to language processing have been based on explicit, discrete representations ...
If we want to explain cognitive processes with means of connectionist networks, these networks have ...
Traditional approaches to language processing have been based on explicit, discrete representations ...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
ABSTRACT In language acquisition, ‘Emergentists’ claim that simple learning mechanisms, of the kind...
This paper reviews the impact of connectionism upon our understanding of brain-damaged language perf...
In language acquisition, ‘Emergentists’ claim that simple learning mechanisms, o...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are...
Linguists have historically favored symbolic, rule-based models to explain the human language facult...
Connectionist models have had a profound impact on theories of language. While most earlymodelswere ...
The field of formal linguistics was founded on the premise that language is mentally represented as ...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for...
This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for ...
In the past twenty years the connectionist approach to language development and learning has emerged...
Traditional approaches to language processing have been based on explicit, discrete representations ...
If we want to explain cognitive processes with means of connectionist networks, these networks have ...
Traditional approaches to language processing have been based on explicit, discrete representations ...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
ABSTRACT In language acquisition, ‘Emergentists’ claim that simple learning mechanisms, of the kind...
This paper reviews the impact of connectionism upon our understanding of brain-damaged language perf...
In language acquisition, ‘Emergentists’ claim that simple learning mechanisms, o...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are...
Linguists have historically favored symbolic, rule-based models to explain the human language facult...
Connectionist models have had a profound impact on theories of language. While most earlymodelswere ...
The field of formal linguistics was founded on the premise that language is mentally represented as ...