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Capturing the diversity of multilingual societies

Authors: Louf, T.; Sanchez, D.; Ramasco, J. J.;

Capturing the diversity of multilingual societies

Abstract

Cultural diversity encoded within languages of the world is at risk, as many languages have become endangered in the last decades in a context of growing globalization. To preserve this diversity, it is first necessary to understand what drives language extinction, and which mechanisms might enable coexistence. Here, we study language shift mechanisms using theoretical and data-driven perspectives. A large-scale empirical analysis of multilingual societies using Twitter and census data yields a wide diversity of spatial patterns of language coexistence. It ranges from a mixing of language speakers to segregation with multilinguals on the boundaries of disjoint linguistic domains. To understand how these different states can emerge and, especially, become stable, we propose a model in which language coexistence is reached when learning the other language is facilitated and when bilinguals favor the use of the endangered language. Simulations carried out in a metapopulation framework highlight the importance of spatial interactions arising from people mobility to explain the stability of a mixed state or the presence of a boundary between two linguistic regions. Further, we find that the history of languages is critical to understand their present state.

Main text: 12 pages, 6 figures, 51 references. Supplementary Information: 27 pages, 16 figures, 2 tables

Country
Spain
Related Organizations
Keywords

Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, Computer Science - Computation and Language, linguistic geography, language competition, bilingualism, multilingualism, Twitter data, Bilingualism, Physics, QC1-999, Física, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Endangered Languages, Computation and Language (cs.CL)

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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!
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