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Dialect separation and cross-dialectal influence

A study on the grammatical gender of Oromo

Datos Bibliográficos

ID3988264
AutoresTekabe Legesse Feleke (0000-0002-5627-2043, UiT The Arctic University of Norway, autor de correspondencia)
Año2024
Volumen62
Número6
Páginas1543-1579
Fecha de publicación2024-11-26
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaLinguistics (JOURNAL)
Identificadores de la revistaISSN: 0024-3949 • E-ISSN: 1613-396X
EditorialWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/ling-2022-0119
OpenAlexW4396580258
IdiomaEN
Citas recibidas1
Referencias citadas71

The extent to which the grammar of one dialect influences the grammar of another and the mechanisms that bidialectal speakers employ to distinguish a target grammar from non-target grammar have not been adequately investigated. In this study, we elucidate these issues by investigating the grammatical gender of Oromo, a Cushitic language that is spoken in Ethiopia. The results from two successive offline experiments indicate that Oromo bidialectal speakers can differentiate between the grammar of their native dialect and that of a non-native dialect in both spoken and written modes. This finding implies the existence of a dual-system representation of grammar. Moreover, there is a significant amount of dialect mixing that varies across various developmental stages and modalities. The bidialectal speakers' ability to differentiate between the grammar of their native dialect and that of a non-native dialect is constrained by the magnitude of their exposure to the non-native dialect, modalities, and a specific property of grammatical forms. Here, we propose an interactive dialect separation model that accounts for diverse dialect contexts

Grammar · Linguistics · Modalities · Representation (politics) · Sociology · Computer Science · Language, Linguistics, Cultural Analysis · Natural Language Processing Techniques · Philosophy · Psychology · Syntax, Semantics, Linguistic Variation

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Obras citantes distintas1
Citas por año0,5
Intervalo de citas2024 - 2024 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
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