Use this url to cite publication: https://hdl.handle.net/007/18675
Multilingual Societies from Twitter Data: Empirical Analysis and Theoretical Modelling
Type of publication
Tezės kitame recenzuojamame leidinyje / Theses in other peer-reviewed publication (T1e)
Type of publication (old)
T2
Author(s)
Sanchez, David |
Louf, Thomas |
Ramasco, Jose J. |
Title
Multilingual Societies from Twitter Data: Empirical Analysis and Theoretical Modelling
Date Issued
2022
Is part of
LLOD Approaches for Language Data Research and Management LLODREAM2022 : International Scientific Interdisciplinary Conference, September 21-22, 2022 : Abstract Book. ISBN 9786094880414
Field of Science
Abstract
Purpose: Cultural diversity encoded within the languages of the world is at risk, as many languages have become endangered in the last decades in the context of growing globalization. To preserve this diversity, it is first necessary to understand what drives language extinction, and which mechanisms might enable coexistence.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Access Rights
Atviroji prieiga / Open Access