ENGLISH

Ambiguity Resolution in Language Learning: Computational and Cognitive Models

By Hinrich Schütze

Book information

Publisher
CSLI Publications
Year
1997
ISBN
9781575860756, 1575860759, 1575860740
LCC
P118.2 .S38 1997
Language
english
Format
PDF
Filesize
11 MB (11604611 bytes)
Series
Center for the Study of Language and Information - CSLI Lecture Notes 71
Pages
226\226
Time added
2010-05-31 15:29:46

Description

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.

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