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Book cover of Ambiguity Resolution in Language Learning

Ambiguity Resolution in Language Learning

Computational and Cognitive Models

by Hinrich Schütze · 1997

ISBN: 1575860740 9781575860749

Category: Language Arts & Disciplines / Linguistics / Semantics

Page count: 230

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.