Ambiguity resolution in language learning : computational and cognitive models

Hinrich Schütze

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.

「Nielsen BookData」より

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.

「Nielsen BookData」より

[目次]

  • Acknowledgements
  • 1. Introduction
  • 2. Syntactic categorisation
  • 3. Semantic categorisation
  • 4. Subcategorization
  • 5. A look back
  • 6. Appendix A: mathematical methods
  • References.

「Nielsen BookData」より

[目次]

  • Acknowledgements
  • 1. Introduction
  • 2. Syntactic categorisation
  • 3. Semantic categorisation
  • 4. Subcategorization
  • 5. A look back
  • 6. Appendix A: mathematical methods
  • References.

「Nielsen BookData」より

この本の情報

書名 Ambiguity resolution in language learning : computational and cognitive models
著作者等 Schütze, Hinrich
Schutze Hinrich
シリーズ名 CSLI lecture notes
出版元 CSLI Publications
刊行年月 c1997
版表示 74
ページ数 xv, 214 p.
大きさ 23 cm
ISBN 1575860740
1575860759
NCID BA31445195
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
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