| Naslov: | A CORPUS INVESTIGATION OF THE ORDERING OF SELECTED ATTRIBUTIVE ADJECTIVES IN SLOVENIAN |
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| Avtorji: | ID Plesničar, Vesna (Lastnik avtorskih pravic)
ID Plesničar, Vesna, University of Nova Gorica (Avtor) |
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| Datoteke: |
Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u.  |
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Delo ni kategorizirano |
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| Tipologija: | 1.08 - Objavljeni znanstveni prispevek na konferenci |
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| Organizacija: | UNG - Univerza v Novi Gorici
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| Opis: | The paper investigates the question of attributive adjective ordering in
Slovenian against the background of the cartographic model of natural
language syntax (e.g., Cinque 1994, 2010, Scott 2002, Shlonsky 2004,
Laenzlinger 2005, Ramaglia 2014). Using the nearly 1.2-billion-word
Gigafida 2.0 corpus, we conducted a study in which we check the frequency
of attested orders of selected attributive adjectives belonging to thirteen
semantic categories and determine whether we can adequately predict
language use if we adopt a cartographic model as a working theoretical
framework, specifically the adjective hierarchy proposed in Scott (2002).
The results show that the probability of encountering an order that violates
the hierarchy is in general extremely small compared to the probability of
encountering an order that respects the hierarchy, which indicates that
the order of adjectives attested in the Slovenian corpus is by-and-large
compatible with the proposal that the order is governed by a hierarchy of
adjective projections. |
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| Ključne besede: | generative grammar, cartography, attributive adjective string, language use, corpus |
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| Status publikacije: | Objavljeno |
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| Leto izida: | 2022 |
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| PID: | 20.500.12556/RUNG-7690 |
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| COBISS.SI-ID: | 128235523 |
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| DOI: | https://doi.org/10.18485/belida.2022.1.ch6 |
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| NUK URN: | URN:SI:UNG:REP:GOGQWIC3 |
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| Datum objave v RUNG: | 07.11.2022 |
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| Število ogledov: | 1744 |
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| Število prenosov: | 0 |
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| Metapodatki: |    |
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