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                                       Details van artikel 46 van 104 gevonden artikelen
 
 
  Cryptotype, Overgeneralization and Competition: A Connectionist Model of the Learning of English Reversive Prefixes
 
 
Titel: Cryptotype, Overgeneralization and Competition: A Connectionist Model of the Learning of English Reversive Prefixes
Auteur: Li, Ping
MacWhinney, Brian
Verschenen in: Connection science
Paginering: Jaargang 8 (1996) nr. 1 pagina's 3-30
Jaar: 1996-03-01
Inhoud: This study examined the role of covert semantic classes or 'cryptotypes' in determining children's overgeneralizations of reversive prefixes such as un - in *unsqueeze or *unpress . A training corpus of 160 English verbs was presented incrementally to a backpropagation network. In three simulations, we showed that the network developed structured representations for the semantic cryptotype associated with the use of the reversive prefix un- . Overgeneralizations produced by the network, such as *unbury or *unpress , match up well with actual overgeneralizations observed in human children, showing that structured cryptotypic semantic representations underlie this overgeneralization behaviour. Simulation 2 points towards a role of lexical competition in morphological acquisition and overgeneralizations. Simulation 3 provides insight into the relationship between plasticity in network learning and the ability to recover from overgeneralizations. Together, these analyses paint a dynamic picture in which competing morphological devices work together to provide the best possible match to underlying covert semantic structures.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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