Generalization by categorical nodes in recurrent neural networks

Yoshihiko Suhara; Akito Sakurai

doi:10.1016/j.ics.2005.12.073

Generalization by categorical nodes in recurrent neural networks

Yoshihiko Suhara, Akito Sakurai

Department of Industrial and Systems Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	161-164
Number of pages	4
Journal	International Congress Series
Volume	1291
DOIs	https://doi.org/10.1016/j.ics.2005.12.073
Publication status	Published - 2006 Jun

Keywords

Category learning
Grammar learning
Recurrent neural network

ASJC Scopus subject areas

Medicine(all)

Access to Document

10.1016/j.ics.2005.12.073

Cite this

@article{701d3b2600d3472e8aad13e4a8d73978,

title = "Generalization by categorical nodes in recurrent neural networks",

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.",

keywords = "Category learning, Grammar learning, Recurrent neural network",

author = "Yoshihiko Suhara and Akito Sakurai",

year = "2006",

month = jun,

doi = "10.1016/j.ics.2005.12.073",

language = "English",

volume = "1291",

pages = "161--164",

journal = "International Congress Series",

issn = "0531-5131",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Generalization by categorical nodes in recurrent neural networks

AU - Suhara, Yoshihiko

AU - Sakurai, Akito

PY - 2006/6

Y1 - 2006/6

N2 - 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.

AB - 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.

KW - Category learning

KW - Grammar learning

KW - Recurrent neural network

UR - http://www.scopus.com/inward/record.url?scp=33744795952&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33744795952&partnerID=8YFLogxK

U2 - 10.1016/j.ics.2005.12.073

DO - 10.1016/j.ics.2005.12.073

M3 - Article

AN - SCOPUS:33744795952

SN - 0531-5131

VL - 1291

SP - 161

EP - 164

JO - International Congress Series

JF - International Congress Series

ER -

Generalization by categorical nodes in recurrent neural networks

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this