Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition

Xiaomeng Ma, Martin Chodorow, Virginia Valian


Abstract
Case is an abstract grammatical feature that indicates argument relationship in a sentence. In English, cases are expressed on pronouns, as nominative case (e.g. I, he), accusative case (e.g. me, him) and genitive case (e.g. my, his). Children correctly use cased pronouns at a very young age. How do they acquire abstract case in the first place, when different cases are not associated with different meanings? This paper proposes that the distributional patterns in parents’ input could be used to distinguish grammatical cases in English.
Anthology ID:
2020.cmcl-1.9
Volume:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Month:
November
Year:
2020
Address:
Online
Editors:
Emmanuele Chersoni, Cassandra Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus
Venue:
CMCL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
66–74
Language:
URL:
https://aclanthology.org/2020.cmcl-1.9
DOI:
10.18653/v1/2020.cmcl-1.9
Bibkey:
Cite (ACL):
Xiaomeng Ma, Martin Chodorow, and Virginia Valian. 2020. Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pages 66–74, Online. Association for Computational Linguistics.
Cite (Informal):
Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition (Ma et al., CMCL 2020)
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PDF:
https://aclanthology.org/2020.cmcl-1.9.pdf