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Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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TAM splits in conditional argument indexing

Authors: Sjaak de Wit; Eva van Lier;

TAM splits in conditional argument indexing

Abstract

Abstract A common type of split ergativity is conditioned by tense and/or aspect in that an ergative-absolutive system occurs in the past tense or perfective aspect and a nominative-accusative system occurs in the non-past tense(s) or imperfective aspect ( DeLancey 1982 , Payne 2006 ). This finding, however, pertains to case marking only. Using a genetically diverse typological sample on conditional argument indexing in 83 languages ( Walker 2024 , Walker & Van Lier under review ), the present study explores if a similar tendency can be found for indexing. Within the database, 22 languages display indexing conditioned by TAM (tense, aspect, mood) factors. Across 17 languages, a clear trend regarding aspect and indexing was found: imperfective, progressive, and non-completive aspect condition a nominative-accusative system while perfective, terminative, and completive aspect condition an ergative-absolutive system. For tense and mood, however, no such clear relationship was found. For the remaining 5 languages, the TAM split applied to a specific person/number value only. We conclude that for aspect, but not for tense and mood, our findings correspond with previous literature on split-ergativity in case marking.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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