2021
DOI: 10.1515/flin-2021-2009
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Aspectual cognate objects in Hungarian

Abstract: This paper examines aspectual cognate objects in Hungarian. Its main contribution lies in the syntactic and semantic analysis of three classes of accusative pseudo-objects, which are literally not cognate with the prototypical unergative verb they accompany but are demonstrated to be non-subcategorized and non-thematic elements that have the same role and the same syntactic and semantic properties as aspectual cognate objects in languages where these nominals are both semantically and morphologically related t… Show more

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Cited by 1 publication
(9 citation statements)
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“…[12] Other subclasses of pseudo-objects are reflexives such as magát 'himself.ACC' in a resultative construction like álomba sírta magát '(he) cried himself to sleep' as well as accusative-marked temporal (két órát ʻtwo hour.ACCʼ), spatial (két métert ʻtwo meter.ACCʼ) or other measure phrases (kicsit ʻlittle.ACCʼ or sokat ʻa lot.ACCʼ); see Csirmaz (2008b) or Farkas (2021). The analysis proposed in this paper, however, does not extend to POs other than egyet ʻone.ACCʼ, egy jót ʻone good.ACCʼ or egy nagyot ʻone big.ACCʼ.…”
Section: Pseudo-objectsmentioning
confidence: 80%
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“…[12] Other subclasses of pseudo-objects are reflexives such as magát 'himself.ACC' in a resultative construction like álomba sírta magát '(he) cried himself to sleep' as well as accusative-marked temporal (két órát ʻtwo hour.ACCʼ), spatial (két métert ʻtwo meter.ACCʼ) or other measure phrases (kicsit ʻlittle.ACCʼ or sokat ʻa lot.ACCʼ); see Csirmaz (2008b) or Farkas (2021). The analysis proposed in this paper, however, does not extend to POs other than egyet ʻone.ACCʼ, egy jót ʻone good.ACCʼ or egy nagyot ʻone big.ACCʼ.…”
Section: Pseudo-objectsmentioning
confidence: 80%
“…They are also non-subcategorized and non-thematic objects, which do not denote an affected entity. 12 They stand in contrast to subcategorized, referential and thematic internal arguments, as shown by the test of passivization below; see also Csirmaz (2008b), Farkas & Kardos (2018) or Farkas (2019Farkas ( , 2021:…”
Section: Pseudo-objectsmentioning
confidence: 99%
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