Home » Ambiguity Resolution in Language Learning: Computational and Cognitive Models (Center for the Study of Language and Information - Lecture Notes) by Hinrich Schütze
Ambiguity Resolution in Language Learning: Computational and Cognitive Models (Center for the Study of Language and Information - Lecture Notes) Hinrich Schütze

Ambiguity Resolution in Language Learning: Computational and Cognitive Models (Center for the Study of Language and Information - Lecture Notes)

Hinrich Schütze

Published June 1st 1997
ISBN : 9781575860756
Hardcover
176 pages
Enter the sum

 About the Book 

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. ItMoreThis 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. It 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 categorization, semantic categorization, and verbal subcategorization. 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.