Passive and Causative in Sanskrit

Campo DC	Valore
dc.identifier	ECF_article_14607
dc.title	Passive and Causative in Sanskrit
dc.contributor.author	Lowe John
dc.contributor.author	Molina-Muñoz Adriana
dc.contributor.author	Ruppel Antonia
dc.publisher	Edizioni Ca’ Foscari - Venice University Press, Fondazione Università Ca’ Foscari
dc.type	Articolo
dc.language.iso	en
dc.identifier.uri	http://edizionicafoscari.it/it/edizioni4/riviste/bhasha/2024/1/passive-and-causative-in-sanskrit/
dc.description.abstract	To what extent can fine-grained statistical analysis provide evidence regarding syntactic patterns in corpus languages like Sanskrit, particularly in cases where the interaction of multiple syntactic phenomena obscures the evidence? We investigate the value of a correlation matrix for bivariate data analysis in relation to varying syntactic patterns in a relatively poorly attested yet productive construction in Classical Sanskrit: the passive of the causative (‘passive causative’). The interaction of causative and passive is complex in Sanskrit, but we show that even in the case of low frequency data, syntactic conclusions can be drawn from such interactions when detailed statistical analysis is employed. In particular, our analysis speaks to the status of the ergative in Sanskrit.
dc.relation.ispartof	Bhasha
dc.relation.ispartof	Vol. 3 \| Num. 1 \| Aprile 2024
dc.issued	2024-03-01
dc.dateAccepted	2023-09-23
dc.dateSubmitted	2023-07-05
dc.identifier.issn
dc.identifier.eissn	2785-5953
dc.rights	Creative Commons Attribution 4.0 International Public License
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.identifier.doi	10.30687/bhasha/2785-5953/2024/01/001
dc.peer-review	yes
dc.subject	Causative
dc.subject	Correlation matrix
dc.subject	Ergative
dc.subject	Passive
dc.subject	Sanskrit

Articolo
open access peer reviewed

John Lowe University of Oxford, UK

Adriana Molina-Muñoz University of Oxford, UK

Antonia Ruppel LMU München, Deutschland

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abstract

To what extent can fine-grained statistical analysis provide evidence regarding syntactic patterns in corpus languages like Sanskrit, particularly in cases where the interaction of multiple syntactic phenomena obscures the evidence? We investigate the value of a correlation matrix for bivariate data analysis in relation to varying syntactic patterns in a relatively poorly attested yet productive construction in Classical Sanskrit: the passive of the causative (‘passive causative’). The interaction of causative and passive is complex in Sanskrit, but we show that even in the case of low frequency data, syntactic conclusions can be drawn from such interactions when detailed statistical analysis is employed. In particular, our analysis speaks to the status of the ergative in Sanskrit.

Pubblicato

prossimamente

Accettato

23 Settembre 2023

Presentato

05 Luglio 2023

Lingua

Keywords: Sanskrit • Passive • Ergative • Causative • Correlation matrix

permalink http://doi.org/10.30687/bhasha/2785-5953/2024/01/001

Copyright: © 2024 John Lowe, Adriana Molina-Muñoz, Antonia Ruppel. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.

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