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ParaDis

A Family and Paradigm Model

Datos Bibliográficos

ID4581001
AutoresNabil Hathout (0000-0003-4492-171X, Laboratoire Cognition, Langues, Langage, Ergonomie), Fiammetta Namer (0000-0002-6144-3011, Analyse et Traitement Informatique de la Langue Française)
Año2022
Volumen32
Número2
Páginas153-195
Fecha de publicación2022-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMorphology (JOURNAL)
Identificadores de la revistaISSN: 1871-5621 • E-ISSN: 1871-5656
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11525-021-09390-w
OpenAlexW4205920201
IdiomaEN
Citas recibidas6
Referencias citadas40

The unification of inflectional and derivational morphology is an issue that is often debated but on which there is no consensus. On the other hand, it is well known that inflectional morphology is organized into paradigms. This paper contributes to the convergence between inflection and derivation by offering a new paradigmatic model of derivational morphology. This model, called ParaDis, is based on two types of objects, families and paradigms, and on an architecture made up of three levels of representation (formal, categorical and semantic) and a morphological level, which connects the other three. Morphological descriptions are distributed at three levels, where they organize into formal, categorical and semantic families and paradigms. In this way, the analysis of a phenomenon adjusts closely to its level-specific regularities. The paper describes ParaDis and shows how it can be used to analyze a wide range of canonical and non-canonical derivational constructions in a simple and intuitive way. It compares ParaDis to five frameworks (Bochner, 1993; Bonami & Strnadová, 2019; Booij, 2010; Jackendoff & Audring, 2020b; Koenig, 1999) and illustrates its contributions through the analysis of parasynthetic derivatives

Categorical variable · Epistemology · Inflection · Linguistics · Morphology (biology · Natural language processing · Phenomenon · Programming language · Range (aeronautics · Representation (politics · Simple (philosophy · Unification · Computer Science · Linguistics and Discourse Analysis · Neurobiology of Language and Bilingualism · Philosophy · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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    Open Access•Rene Huyghe, Justine Salvadori et al.•Morphology•2026

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    Louise Mcnally, Olivier Bonami et al.•Theoretical Linguistics•2024

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    Open Access•Maria Copot, Olivier Bonami•Cognitive Linguistics•2024

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Obras citantes distintas6
Citas por año3
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 6
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