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Language change in multidimensional space

New methods for modelling linguistic coherence

In: Language Dynamics and Change
Authors:
Xia Hua Australian National University Mathematical Sciences Institute Centre of Excellence for the Dynamics of Language Australia Canberra

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https://orcid.org/0000-0003-3485-789X
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Felicity Meakins University of Queensland Centre of Excellence for the Dynamics of Language, School of Languages and Cultures Australia Brisbane

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https://orcid.org/0000-0003-4487-4351
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Cassandra Algy University of Queensland Centre of Excellence for the Dynamics of Language, School of Languages and Cultures Australia Brisbane
Karungkarni Art and Culture Aboriginal Corporation Australia Kalkaringi

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Lindell Bromham Australian National University Research School of Biology Centre of Excellence for the Dynamics of Language Australia Canberra

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https://orcid.org/0000-0003-2202-2609
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Abstract

Linguistic coherence—the co-variation of language variants within speaker repertoires—has been proposed as a key process driving the divergence of language dialects. Previous studies on coherence have been often limited by dataset sizes and analyses. We analyze the use of 185 variables across 78 speakers from the Gurindji community in Australia. We use two multivariate statistical approaches to test whether clusters of variables co-vary with generation, family, household, exposure to Gurindji language speakers and education. Using Discriminant Correspondence Analysis, we find generation is the strongest grouping factor of speakers and co-varies with clusters of variants. Using the Generalized Linear Mixed Model, we find these clusters of variants not only represent a gradual loss of Gurindji language use across generations, but also contribute to distinct patterns of language usage in the different generations. Our study demonstrates the use of multivariate analyses on big datasets to identify sociolects, an important step in linking the ‘micro-level’ processes to the ‘macro-level’ outcomes.

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