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Optional realisation of the French negative particle (ne) on Twitter: Can big data reveal new sociolinguistic patterns?

Jacobo Levy Abitbol 1 Márton Karsai 1 Jean-Philippe Magué 2 Jean-Pierre Chevrot 3, 1 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 ICAR - Interactions, Corpus, Apprentissages, Représentations
3 LIDILEM - LInguistique et DIdactique des Langues Étrangères et Maternelles
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Conference papers
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https://hal.inria.fr/hal-01675038
Contributor : Jean-Pierre Chevrot Connect in order to contact the contributor
Submitted on : Wednesday, January 3, 2018 - 11:55:39 PM
Last modification on : Wednesday, November 3, 2021 - 6:41:59 AM

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  • HAL Id : hal-01675038, version 1

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

Citation

Jacobo Levy Abitbol, Márton Karsai, Jean-Philippe Magué, Jean-Pierre Chevrot, Eric Fleury. Optional realisation of the French negative particle (ne) on Twitter: Can big data reveal new sociolinguistic patterns? . CCS 2017 - Conference on Complex Systems , Sep 2017, Cancun, Mexico. ⟨hal-01675038⟩

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