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Cryptotype, Overgeneralization and Competition: A Connectionist Model of the Learning of English Reversive Prefixes
Ping Li
, B. MacWhinney
Research output
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Journal article publication
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Journal article
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Academic research
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peer-review
34
Citations (Scopus)
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Dive into the research topics of 'Cryptotype, Overgeneralization and Competition: A Connectionist Model of the Learning of English Reversive Prefixes'. Together they form a unique fingerprint.
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Keyphrases
Connectionist Models
100%
Prefix
100%
Overgeneralization
100%
Cryptotypes
100%
Black Stars
57%
Covert
28%
Semantic Classes
14%
Back Propagation Network
14%
Semantic Structure
14%
Training Corpus
14%
Semantic Representation
14%
Structured Representation
14%
Networked Learning
14%
Lexical Competition
14%
Human children
14%
Morphological Acquisition
14%
English Verbs
14%
Computer Science
Learning Network
100%
Structured Representation
100%
Semantic Representation
100%
Connectionist Model
100%
Social Sciences
English
100%
Semantic Structure
50%
Neuroscience
Behavior (Neuroscience)
100%
Psychology
Semantic Representation
100%