Ambiguity Resolution in Language Learning: Computational and Cognitive Models

Hinrich Schutze

ISBN 10: 1575860759 / ISBN 13: 9781575860756

Editore: Center for the Study of Language & Information CSLI Publications, 1997

Riguardo questo articolo

pp. 176 74th Edition.

Codice articolo 262098364

Dati bibliografici

• Titolo: Ambiguity Resolution in Language Learning: Computational and Cognitive Models
• Editore: Center for the Study of Language & Information CSLI Publications
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 1575860759
• ISBN 13: 9781575860756
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.

Descrizione del libro

This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context.