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Item Details
| Title:
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AMBIGUITY RESOLUTION IN LANGUAGE LEARNING
COMPUTATIONAL AND COGNITIVE MODELS |
| By: |
Hinrich Schutze |
| Format: |
Paperback |
| List price:
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£19.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
1575860740 |
| ISBN 13: |
9781575860749 |
| Publisher: |
CENTRE FOR THE STUDY OF LANGUAGE & INFORMATION |
| Pub. date: |
1 June, 1997 |
| Series: |
Center for the Study of Language and Information Publication Lecture Notes No. 71 |
| Pages: |
230 |
| Description: |
This volume is concerned with how ambiguity and ambiguity resolution are learned. |
| Synopsis: |
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. Schutze 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. |
| Illustrations: |
references |
| Publication: |
US |
| Imprint: |
Centre for the Study of Language & Information |
| Returns: |
Returnable |
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