Pierre HALTÉ, Les émoticônes et les interjections dans le tchat

Beccucci, Laurène

doi:10.4000/communicationorganisation.7280

Cited by 1 publication

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“…Pictograms refer to both "emoticon" 9 , and "emoji" 10 . The (Magué et al, 2020)'s typology of 3 functions has been used and adapted to our analysis: (1) the replacement function (when a pictogram replaces a syntagm); (2) the illustration function (when it has a referential function); (3) the 9 Graphic signs looking 'like' an emotion (Beccucci, 2018) 10 Symbols listed in a database (ibid.) modalization function, (when it indicates the emotion or the cognitive position of the author wrt to his/her statement).…”

Section: Linguistic Descriptorsmentioning

confidence: 99%

TREMoLo-Tweets: a Multi-Label Corpus of French Tweets for Language Register Characterization

Mekki¹,

Lecorvé²,

Battistelli³

et al. 2021

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Me

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The casual, neutral, and formal language registers are highly perceptible in discourse productions. However, they are still poorly studied in Natural Language Processing (NLP), especially outside English, and for new textual types like tweets.To stimulate research, this paper introduces a large corpus of 228,505 French tweets (6M words) annotated in language registers. Labels are provided by a multi-label CamemBERT classifier trained and checked on a manually annotated subset of the corpus, while the tweets are selected to avoid undesired biases. Based on the corpus, an initial analysis of linguistic traits from either human annotators or automatic extractions is provided to describe the corpus and pave the way for various NLP tasks. The corpus, annotation guide and classifier are available on http://tremolo.irisa.fr.

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Section: Linguistic Descriptorsmentioning

confidence: 99%