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Glossa: a journal of general linguistics
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Glossa: a journal of general linguistics
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nà-Cleft (non-)exhaustivity: Variability in Akan

Authors: De Veaugh-Geiss, Joseph P.;

nà-Cleft (non-)exhaustivity: Variability in Akan

Abstract

This paper presents two experimental studies on the exhaustive inference associated with focus-background nà-clefts in Akan (among others, Boadi 1974; Duah 2015; Grubic, Renans & Duah 2019; Titov 2019), with a direct comparison to two recent experiments on German es-clefts employing an identical design (De Veaugh-Geiss et al. 2018). Despite the unforeseen response patterns in Akan in the incremental information-retrieval paradigm used, a post-hoc exploratory analysis reveals striking parallels between the two languages. The results are compatible with a unified approach both (i) cross-linguistically between Akan and German; and (ii) cross-sententially between nà-clefts (α nà P, ’It is α who did P’) and definite pseudoclefts, i.e., definite descriptions with identity statements (Nipa no a P ne α , ’The person who did P is α ’) (Boadi 1974; Ofori 2011). Participant variability in (non-)exhaustive interpretations is accounted for with a discourse-pragmatic analysis of cleft exhaustivity (Pollard & Yasavul 2016; De Veaugh-Geiss et al. 2018; Destruel & De Veaugh-Geiss 2018).

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Keywords

Language. Linguistic theory. Comparative grammar, P101-410, variability, exhaustivity, definite pseudoclefts, experimental study, nà-clefts, Akan, experimental studies, definite pseudocleft

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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