Performance and competence intertwined: A computational model of the Null Subject stage in English-speaking children

Soumik Dey, William Sakas


Abstract
The empirically established null subject (NS) stage, lasting until about 4 years of age, involves frequent omission of subjects by children. Orfitelli and Hyams (2012) observe that young English speakers often confuse imperative NS utterances with declarative ones due to performance influences, promoting a temporary null subject grammar. We propose a new computational parameter to measure this misinterpretation and incorporate it into a simulated model of obligatory subject grammar learning. Using a modified version of the Variational Learner (Yang, 2012) which works for superset-subset languages, our simulations support Orfitelli and Hyams’ hypothesis. More generally, this study outlines a framework for integrating computational models in the study of grammatical acquisition alongside other key developmental factors.
Anthology ID:
2025.cxgsnlp-1.10
Volume:
Proceedings of the Second International Workshop on Construction Grammars and NLP
Month:
September
Year:
2025
Address:
Düsseldorf, Germany
Editors:
Claire Bonial, Melissa Torgbi, Leonie Weissweiler, Austin Blodgett, Katrien Beuls, Paul Van Eecke, Harish Tayyar Madabushi
Venues:
CxGsNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–108
Language:
URL:
https://preview.aclanthology.org/iwcs-25-ingestion/2025.cxgsnlp-1.10/
DOI:
Bibkey:
Cite (ACL):
Soumik Dey and William Sakas. 2025. Performance and competence intertwined: A computational model of the Null Subject stage in English-speaking children. In Proceedings of the Second International Workshop on Construction Grammars and NLP, pages 96–108, Düsseldorf, Germany. Association for Computational Linguistics.
Cite (Informal):
Performance and competence intertwined: A computational model of the Null Subject stage in English-speaking children (Dey & Sakas, CxGsNLP 2025)
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PDF:
https://preview.aclanthology.org/iwcs-25-ingestion/2025.cxgsnlp-1.10.pdf