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A constructivist dual-representation model of verb inflection

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A constructivist dual-representation model of verb inflection. / Westermann, G .
Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. ed. / Lila R. Gleitman; Aravind K. Joshi. Mahwah, N.J. : LAWRENCE ERLBAUM ASSOC PUBL, 2000. p. 977-982.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Westermann, G 2000, A constructivist dual-representation model of verb inflection. in LR Gleitman & AK Joshi (eds), Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. LAWRENCE ERLBAUM ASSOC PUBL, Mahwah, N.J. , pp. 977-982, 22nd Annual Conference of the Cognitive-Science-Society, PHILADELPHIA, 13/08/00.

APA

Westermann, G. (2000). A constructivist dual-representation model of verb inflection. In L. R. Gleitman, & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society (pp. 977-982). LAWRENCE ERLBAUM ASSOC PUBL.

Vancouver

Westermann G. A constructivist dual-representation model of verb inflection. In Gleitman LR, Joshi AK, editors, Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. Mahwah, N.J. : LAWRENCE ERLBAUM ASSOC PUBL. 2000. p. 977-982

Author

Westermann, G . / A constructivist dual-representation model of verb inflection. Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. editor / Lila R. Gleitman ; Aravind K. Joshi. Mahwah, N.J. : LAWRENCE ERLBAUM ASSOC PUBL, 2000. pp. 977-982

Bibtex

@inproceedings{df51a59911064d31aea07962a97de22c,
title = "A constructivist dual-representation model of verb inflection",
abstract = "A constructivist neural network is presented that models impaired inflectional processing in German agrammatic aphasia. The model is based on a single mechanism and develops two types of representation through a constructivist learning process. The model accounts for data that has been taken as evidence for a dual mechanism theory of inflection, and it suggests an inflectional processing system that is based not on a distinction between regular and irregular cases, but between inflections that are easy and hard to learn. The model represents a succesful single-mechanism neural network account of verb inflections.",
keywords = "GERMAN INFLECTION, RULES, FREQUENCY, LANGUAGE",
author = "G Westermann",
year = "2000",
language = "English",
isbn = "0-8058-3879-1",
pages = "977--982",
editor = "Gleitman, {Lila R.} and Joshi, {Aravind K.}",
booktitle = "Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society",
publisher = "LAWRENCE ERLBAUM ASSOC PUBL",
note = "22nd Annual Conference of the Cognitive-Science-Society ; Conference date: 13-08-2000 Through 15-08-2000",

}

RIS

TY - GEN

T1 - A constructivist dual-representation model of verb inflection

AU - Westermann, G

PY - 2000

Y1 - 2000

N2 - A constructivist neural network is presented that models impaired inflectional processing in German agrammatic aphasia. The model is based on a single mechanism and develops two types of representation through a constructivist learning process. The model accounts for data that has been taken as evidence for a dual mechanism theory of inflection, and it suggests an inflectional processing system that is based not on a distinction between regular and irregular cases, but between inflections that are easy and hard to learn. The model represents a succesful single-mechanism neural network account of verb inflections.

AB - A constructivist neural network is presented that models impaired inflectional processing in German agrammatic aphasia. The model is based on a single mechanism and develops two types of representation through a constructivist learning process. The model accounts for data that has been taken as evidence for a dual mechanism theory of inflection, and it suggests an inflectional processing system that is based not on a distinction between regular and irregular cases, but between inflections that are easy and hard to learn. The model represents a succesful single-mechanism neural network account of verb inflections.

KW - GERMAN INFLECTION

KW - RULES

KW - FREQUENCY

KW - LANGUAGE

M3 - Conference contribution/Paper

SN - 0-8058-3879-1

SP - 977

EP - 982

BT - Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society

A2 - Gleitman, Lila R.

A2 - Joshi, Aravind K.

PB - LAWRENCE ERLBAUM ASSOC PUBL

CY - Mahwah, N.J.

T2 - 22nd Annual Conference of the Cognitive-Science-Society

Y2 - 13 August 2000 through 15 August 2000

ER -