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How social, economic and demographic forces shape linguistic variation on Twitter

Jacobo Levy Abitbol 1 Márton Karsai 1 Jean-Pierre Chevrot 2, 1 Jean-Philippe Magué 3 Eric Fleury 1
1 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
2 LIDILEM - LInguistique et DIdactique des Langues Étrangères et Maternelles
3 ICAR - Interactions, Corpus, Apprentissages, Représentations
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Conference papers
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https://hal.inria.fr/hal-01675037
Contributor : Jean-Pierre Chevrot <>
Submitted on : Wednesday, January 3, 2018 - 11:43:08 PM
Last modification on : Tuesday, December 8, 2020 - 10:44:08 AM

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  • HAL Id : hal-01675037, version 1

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CNRS | LIP | ENS-LYON | UNIV-LYON2 | INRIA | INSA-LYON | UNIV-LYON1 | UNIV-LYON3 | INSA-GROUPE | UDL | UGA | LIDILEM

Citation

Jacobo Levy Abitbol, Márton Karsai, Jean-Pierre Chevrot, Jean-Philippe Magué, Eric Fleury. How social, economic and demographic forces shape linguistic variation on Twitter. POPLANG 2017 - Workshop Population effects on languages: Modelling population dynamics and language transmission from the perspective of language learning, contact and change, Nov 2017, Lyon, France. ⟨hal-01675037⟩

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