How the input shapes the acquisition of verb morphology: Elicited production and computational modelling in two highly inflected languages



Engelmann, Felix, Granlund, Sonia, Kolak, Joanna, Szreder, Marta, Ambridge, Ben ORCID: 0000-0003-2389-8477, Pine, Julian ORCID: 0000-0002-7077-9713, Theakston, Anna and Lieven, Elena
(2019) How the input shapes the acquisition of verb morphology: Elicited production and computational modelling in two highly inflected languages. Cognitive Psychology, 110. 30 - 69.

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Abstract

The aim of the present work was to develop a computational model of how children acquire inflectional morphology for marking person and number; one of the central challenges in language development. First, in order to establish which putative learning phenomena are sufficiently robust to constitute a target for modelling, we ran large-scale elicited production studies with native learners of Finnish (N = 77; 35–63 months) and Polish (N = 81; 35–59 months), using a novel method that, unlike previous studies, allows for elicitation of all six person/number forms in the paradigm (first, second and third person; singular and plural). We then proceeded to build and test a connectionist model of the acquisition of person/number marking which not only acquires near adult-like mastery of the system (including generalisation to unseen items), but also yields all of the key phenomena observed in the elicited-production studies; specifically, effects of token frequency and phonological neighbourhood density of the target form, and a pattern whereby errors generally reflect the replacement of low frequency targets by higher-frequency forms of the same verb, or forms with the same person/number as the target, but with a suffix from an inappropriate conjugation class. The findings demonstrate that acquisition of even highly complex systems of inflectional morphology can be accounted for by a theoretical model that assumes rote storage and phonological analogy, as opposed to formal symbolic rules.

Item Type: Article
Uncontrolled Keywords: Language acquisition, Verb marking, Morphology, Computational modelling, Cross-linguistic, Elicited production, Neural networks
Depositing User: Symplectic Admin
Date Deposited: 01 Mar 2019 08:37
Last Modified: 23 Aug 2021 17:11
DOI: 10.1016/j.cogpsych.2019.02.001
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3033574