Generalization by categorical nodes in recurrent neural networks

Yoshihiko Suhara, Akito Sakurai

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We experimentally show that, in the grammar learning by recurrent neural networks, the networks can learn a word categorization that is consistent with the grammatical categories of words in exemplar sentences.

Original languageEnglish
Pages (from-to)161-164
Number of pages4
JournalInternational Congress Series
Volume1291
DOIs
Publication statusPublished - 2006 Jun 1

Keywords

  • Category learning
  • Grammar learning
  • Recurrent neural network

ASJC Scopus subject areas

  • Medicine(all)

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