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Morphological generalization in heritage speakers

The Turkish aorist

Dados Bibliográficos

ID11655683
AutoresSerkan Uygun (0000-0002-0880-9280, University of Potsdam, autor correspondente), Lara Schwarz (0000-0003-4853-8232, TU Dortmund University), Harald Clahsen (0000-0002-6190-1318, University of Potsdam)
Ano2021
Volume39
Fascículo2
Páginas519-538
Data de publicação2021-11-27
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSecond language Research (JOURNAL)
Identificadores do periódicoISSN: 0267-6583 • E-ISSN: 1477-0326
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/02676583211059291
OpenAlexW3214958979
IdiomaEN
Citações recebidas3
Referências citadas45

Heritage speakers (HS) have been shown to experience difficulties with inflectional morphology (particularly with irregular morphology) and to frequently overapply regular morphology. The present study seeks to get further insight into the inflectional processes of HS by investigating how these are generalized to nonce words in language production, the first study of this kind for heritage Turkish. We specifically examined morphological generalization processes in the Turkish aorist which – unusual for this language – includes both regular and irregular forms. A written elicited-production experiment containing nonce verbs with varying degrees of similarity to existing verbs was administered to Turkish HS and native monolingually-raised Turkish speakers (MS). We also explored how well a formal model that was trained on a large lexical corpus of Turkish matches the human speakers’ performance. Our main finding is that HS employ both similarity-based and rule-based mechanisms for morphological generalization of the Turkish aorist, with subtle differences to the way these mechanisms are applied by Turkish MS

Cryptographic nonce · Generalization · Linguistics · Similarity (geometry · Turkish · Computer Science · Natural Language Processing Techniques · Philosophy · Psychology · Second Language Acquisition and Learning · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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Obras citantes distintas3
Citações por ano0,75
Intervalo de citações2022 - 2025 (4)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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