Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/18675
Multilingual Societies from Twitter Data: Empirical Analysis and Theoretical Modelling
Type of publication
TezÄs kitame recenzuojamame leidinyje / Theses in other peer-reviewed publication (T1e)
Author(s)
| Author |
|---|
Sanchez, David |
Louf, Thomas |
Ramasco, Jose J. |
Title
Multilingual Societies from Twitter Data: Empirical Analysis and Theoretical Modelling
Date Issued
| Date |
|---|
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
Science / Art Area
Humanitariniai mokslai / The humanities (H)
Field of Science
Filologija / Philology (H004)
Abstract (en)
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.
Resource Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Access Rights
Atviroji prieiga / Open Access
Owning collection