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Coding causal–noncausal verb alternations: A form–frequency correspondence explanation1

Published online by Cambridge University Press:  08 August 2014

MARTIN HASPELMATH*
Affiliation:
Max Planck Institute for Evolutionary Anthropology
ANDREEA CALUDE
Affiliation:
University of Waikato
MICHAEL SPAGNOL
Affiliation:
University of Malta
HEIKO NARROG
Affiliation:
Tohoku University
ELİF BAMYACI
Affiliation:
University of Würzburg
*
Authors’ address: (Haspelmath)Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germanyhaspelmt@eva.mpg.de

Abstract

We propose, and provide corpus-based support for, a usage-based explanation for cross-linguistic trends in the coding of causal–noncausal verb pairs, such as raise/rise, break (tr.)/break (intr.). While English mostly uses the same verb form both for the causal and the noncausal sense (labile coding), most languages have extra coding for the causal verb (causative coding) and/or for the noncausal verb (anticausative coding). Causative and anticausative coding is not randomly distributed (Haspelmath 1993): Some verb meanings, such as ‘freeze’, ‘dry’ and ‘melt’, tend to be coded as causatives, while others, such as ‘break’, ‘open’ and ‘split’, tend to be coded as anticausatives. We propose an explanation of these coding tendencies on the basis of the form–frequency correspondence principle, which is a general efficiency principle that is responsible for many grammatical asymmetries, ultimately grounded in predictability of frequently expressed meanings. In corpus data from seven languages, we find that verb pairs for which the noncausal member is more frequent tend to be coded as anticausatives, while verb pairs for which the causal member is more frequent tend to be coded as causatives. Our approach implies that linguists should not rely on form–meaning parallelism when trying to explain cross-linguistic or language-particular patterns in this domain.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2014 

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