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The Universality of Morpho-Syntax

Synthetic Compounding in French,English,Dutch and Korean

Datos Bibliográficos

ID19527171
AutoresBenjamin Hebblethwaite (autor de correspondencia)
Año2002
Volumen3
Número2
Páginas1-30
Fecha de publicación2002-09-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Universal Language (JOURNAL)
Identificadores de la revistaISSN: 1598-6381 • E-ISSN: 2508-5344
EditorialSejong University Language Research Institute (PUBLISHER)
DOI10.22425/jul.2002.3.2.1
OpenAlexW2590797950
IdiomaEN
Citas recibidas1
Referencias citadas22

This paper argues that synthetic compounding SC accesses phrasal syntax. The split-Inflectional Phrase (Split-IP) supplied by Universal Grammar provides a parsimonious representation of SC in French, English, Dutch and Korean. In SC, nouns and verbs are attracted leftward up the tree to check and eliminate strong nominal or verbal features located in higher functional projections. Split-Infl and leftward-only Move α provide a minimal and learnable frame- work for SC word formation. Kayne’s Universal Base Hypothesis (1994) imposes a rigid syntactic theory (section 2). Data from French, English, Dutch and Korean exemplify SC in (3). A literature review in (4) evaluates recent work on SC found in Lieber (1992), Barbaud (1994) and Di Sciullo (1996). In (5), a minimalist syntactic solution provides a unified analysis of the data set. Finally, an X-bar theory of categorical conversion and affixation in (6) argues in favor of a post-syntactic, morphological module that precedes PF in word formation. The conclusion suggests how generative morpho-syntactic theory might be applied to the development of a universal artificial language

Categorical variable · Endocentric and exocentric · Generative grammar · Linguistics · Morpho · Natural language processing · Noun · Noun phrase · Phrase · Syntax · Universal Grammar · Computer Science · Natural Language Processing Techniques · Philosophy · Second Language Acquisition and Learning · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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Obras citantes distintas1
Citas por año0,07
Intervalo de citas2012 - 2012 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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