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Building a unified model of the Optional Infinitive Stage

Simulating the cross-linguistic pattern of verb-marking error in typically developing children and children with Developmental Language Disorder

Bibliographic Data

ID20367272
AuthorsJulian M Pine (0000-0002-7077-9713, University of Liverpool, corresponding author), Daniel Freudenthal (0000-0003-3915-9484, International Development Research Centre), Fernand Gobet (0000-0002-9317-6886, International Development Research Centre)
Year2023
Volume50
Issue6
Pages1336-1352
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Child Language (JOURNAL)
Journal identifiersISSN: 0305-0009 • E-ISSN: 1469-7602
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0305000923000132
PMID36814394
OpenAlexW4321600544
LanguageEN
References cited49

Verb-marking errors are a characteristic feature of the speech of typically-developing (TD) children and are particularly prevalent in the speech of children with Developmental Language Disorder (DLD). However, both the pattern of verb-marking error in TD children and the pattern of verb-marking deficit in DLD vary across languages and interact with the semantic and syntactic properties of the language being learned. In this paper, we review work using a computational model called MOSAIC. We show how this work allows us to understand several features of the cross-linguistic data that are otherwise difficult to explain. We also show how discrepancies between the developmental data and the quantitative predictions generated by MOSAIC can be used to identify weaknesses in our current understanding and lead to further theory development; and how the resulting model (MOSAIC+) helps us understand differences in the cross-linguistic patterning of verb-marking errors in TD children and children with DLD

Developmental psychology · Infinitive · Linguistics · Natural language processing · Typically developing · Verb · Computer Science · Language Development and Disorders · Phonetics and Phonology Research · Psychology · Speech and dialogue systems · Artificial Intelligence

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