Conditioning, but on which distribution? Grammatical gender in German plural inflection

Kate McCurdy; Adam Lopez; Sharon Goldwater

doi:10.18653/v1/2020.cmcl-1.8

Conditioning, but on which distribution? Grammatical gender in German plural inflection

Kate McCurdy, Adam Lopez, Sharon Goldwater

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Grammatical gender is a consistent and informative cue to the plural class of German nouns. We find that neural encoder-decoder models learn to rely on this cue to predict plural class, but adult speakers are relatively insensitive to it. This suggests that the neural models are not an effective cognitive model of German plural formation.

Original language	English
Title of host publication	Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Publisher	Association for Computational Linguistics (ACL)
Pages	59-65
Number of pages	7
ISBN (Print)	978-1-952148-68-2
DOIs	https://doi.org/10.18653/v1/2020.cmcl-1.8
Publication status	Published - 19 Nov 2020
Event	Workshop on Cognitive Modeling and Computational Linguistics 2020 - Vrtual Workshop Duration: 19 Nov 2020 → 19 Nov 2020 https://cmclorg.github.io/

Workshop

Workshop	Workshop on Cognitive Modeling and Computational Linguistics 2020
Abbreviated title	CMCL 2020
City	Vrtual Workshop
Period	19/11/20 → 19/11/20
Internet address	https://cmclorg.github.io/

Access to Document

10.18653/v1/2020.cmcl-1.8Licence: Creative Commons: Attribution (CC-BY)

Conditioning_MCCURDY_DOA25082020_AFVAccepted author manuscript, 156 KBLicence: All Rights Reserved
Conditioning_MCCURDY_DOA25082020_VOR_CC-BYFinal published version, 230 KBLicence: Creative Commons: Attribution (CC-BY)

https://www.aclweb.org/anthology/2020.cmcl-1.8/Licence: Creative Commons: Attribution (CC-BY)

Understanding synergies in language acquisition through c
Goldwater, S.
Non-EU-based charities
1/09/13 → 31/08/22
Project: Research

Cite this

@inproceedings{c023c7b105c64be5b576be436b7ce213,

title = "Conditioning, but on which distribution? Grammatical gender in German plural inflection",

abstract = "Grammatical gender is a consistent and informative cue to the plural class of German nouns. We find that neural encoder-decoder models learn to rely on this cue to predict plural class, but adult speakers are relatively insensitive to it. This suggests that the neural models are not an effective cognitive model of German plural formation.",

author = "Kate McCurdy and Adam Lopez and Sharon Goldwater",

year = "2020",

month = nov,

day = "19",

doi = "10.18653/v1/2020.cmcl-1.8",

language = "English",

isbn = "978-1-952148-68-2",

pages = "59--65",

booktitle = "Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

note = "Workshop on Cognitive Modeling and Computational Linguistics 2020, CMCL 2020 ; Conference date: 19-11-2020 Through 19-11-2020",

url = "https://cmclorg.github.io/",

}

McCurdy, K, Lopez, A & Goldwater, S 2020, Conditioning, but on which distribution? Grammatical gender in German plural inflection. in Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Association for Computational Linguistics (ACL), pp. 59-65, Workshop on Cognitive Modeling and Computational Linguistics 2020, Vrtual Workshop, 19/11/20. https://doi.org/10.18653/v1/2020.cmcl-1.8

Conditioning, but on which distribution? Grammatical gender in German plural inflection. / McCurdy, Kate; Lopez, Adam ; Goldwater, Sharon.

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Association for Computational Linguistics (ACL), 2020. p. 59-65.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Goldwater, Sharon

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SN - 978-1-952148-68-2

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BT - Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics

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ER -

Conditioning, but on which distribution? Grammatical gender in German plural inflection

Abstract

Workshop

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Projects

Understanding synergies in language acquisition through c

Cite this