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DyLNet: Language dynamics, linguistic learning, and sociability at preschool ...
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Variation sociolinguistique et réseau social : constitution et traitement d’un corpus de données orales massives1
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In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03148217 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2021, Du recueil à l’outillage des corpus oraux : comment accéder à la variation ? (22), ⟨10.4000/corpus.5561⟩ (2021)
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Buzz or Change: How the Social Network Structure Conditions the Fate of Lexical Innovations on Twitter
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In: 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021) ; https://hal.archives-ouvertes.fr/hal-03426028 ; 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021), Oct 2021, Nijmegen, Radboud University, Netherlands (2021)
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Can we predict the socio-demographic characteristics of Twitter users from their tweets? The contribution of massive data and artificial intelligence
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In: Linguistic variation in European languages – New perspectives on diasystematic variation at the occasion of the centenary of Coseriu’s birth (1921-2021) ; https://hal.archives-ouvertes.fr/hal-03426030 ; Linguistic variation in European languages – New perspectives on diasystematic variation at the occasion of the centenary of Coseriu’s birth (1921-2021), Nov 2021, Copenhague, Denmark (2021)
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The construction of gender identity in preschool: do the teachers’ practices matter?
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In: 7th Young linguists’ meeting in Poznań (YLMP 2021) ; https://hal.archives-ouvertes.fr/hal-03512436 ; 7th Young linguists’ meeting in Poznań (YLMP 2021), Apr 2021, Poznań, Poland ; http://ylmp2021.amu.edu.pl/ (2021)
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Temporal social network reconstruction using wireless proximity sensors: model selection and consequences
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In: ISSN: 2193-1127 ; EISSN: 2193-1127 ; EPJ Data Science ; https://hal.inria.fr/hal-03117988 ; EPJ Data Science, EDP Sciences, 2020, 9 (1), ⟨10.1140/epjds/s13688-020-00237-8⟩ (2020)
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Abstract:
International audience ; The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such technologies allow to log the temporal dynamics of face-to-face interactions by detecting the physical proximity of participants. However, despite the wide usage of this technology and the collected datasets, precise reconstruction methods transforming the raw recorded communication data packets to social interactions are still missing.In this study we analyse a proximity dataset collected during a longitudinal social experiment aiming to understand the co-evolution of children’s language development and social network. Physical proximity and verbal communication of hundreds of pre-school children and their teachers are recorded over three years using autonomous wearable low power wireless devices. The dataset is accompanied with three annotated ground truth datasets, which record the time, distance, relative orientation, and interaction state of interacting children for validation purposes.We use this dataset to explore several pipelines of dynamical event reconstruction including earlier applied naïve approaches, methods based on Hidden Markov Model, or on Long Short-Term Memory models, some of them combined with supervised pre-classification of interaction packets. We find that while naïve models propose the worst reconstruction, Long Short-Term Memory models provide the most precise way to reconstruct real interactions up to∼90% accuracy. Finally, we simulate information spreading on the reconstructed networks obtained by the different methods. Results indicate that small improvement of network reconstruction accuracy may lead to significantly different spreading dynamics, while sometimes large differences inaccuracy have no obvious effects on the dynamics. This not only demonstrates the importance of precise network reconstruction but also the careful choice of the reconstruction method in relation with the data collected. Missing this initial step in any study may seriously mislead conclusions made about the emerging properties of the observed network or any dynamical process simulated on it.
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Keyword:
[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Data driven modelling of spreading processes; Physical proximity networks; Supervised learning; Temporal network reconstruction
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URL: https://doi.org/10.1140/epjds/s13688-020-00237-8 https://hal.inria.fr/hal-03117988
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Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech
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In: Conference on Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-02962275 ; Conference on Natural Language Learning (CoNLL), Nov 2020, Virtual, France (2020)
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Teacher-pupil(s) interactions in preschool: gendered practices?
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In: Linguistic Disadvantage in Education ; https://hal.archives-ouvertes.fr/hal-03512648 ; Linguistic Disadvantage in Education, Aug 2020, Dublin, Ireland (2020)
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Temporal social network reconstruction using wireless proximity sensors: model selection and consequences.
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In: Network Science Society Conference 2020 (NetSci 2020) ; https://hal.archives-ouvertes.fr/hal-03512483 ; Network Science Society Conference 2020 (NetSci 2020), Sep 2020, Rome, Italy (2020)
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Sociabilité enfantine et acquisition du langage : constitution et exploitation d'un corpus oral dense recueilli en maternelle grâce à des capteurs sans fil
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In: École de printemps Projet d’Études Avancées sur le Langage de l’Enfant (PÉtALE 5) ; https://hal.archives-ouvertes.fr/hal-03514368 ; École de printemps Projet d’Études Avancées sur le Langage de l’Enfant (PÉtALE 5), May 2020, Paris, France (2020)
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Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
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In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-02359540 ; Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Nov 2019, Hong Kong, China. pp.339-348, ⟨10.18653/v1/K19-1032⟩ (2019)
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Recueil non supervisé et traitement d’un corpus oral dense et massif dans une école maternelle : un exemple avec le projet DyLNet
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In: 10èmes Journées Internationale de la Linguistique de Corpus ; https://hal.archives-ouvertes.fr/hal-02462341 ; 10èmes Journées Internationale de la Linguistique de Corpus, Nov 2019, Grenoble, France (2019)
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Interaction reconstruction methods for large-scale RFID social experiments
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In: IC2S2 2019 - 5th International Conference on Computational Social Science ; https://hal.archives-ouvertes.fr/hal-02476480 ; IC2S2 2019 - 5th International Conference on Computational Social Science, Jul 2019, Amsterdam, Netherlands (2019)
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Comparing French liaison acquisition in L1 children and L2 adults ; Comparing French liaison acquisition in L1 children and L2 adults: Methodological issues in exploring differences and similarities
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In: ISSN: 1879-7865 ; EISSN: 1879-7873 ; Langage, Interaction et Acquisition / Language, Interaction and Acquisition ; https://hal.archives-ouvertes.fr/hal-01969717 ; Langage, Interaction et Acquisition / Language, Interaction and Acquisition , John Benjamins Publishing Company 2019, Second Language Acquisition and French Liaison : Current Issues, Methods and Perspectives, 10 (1), pp.45-70. ⟨10.1075/lia.17021.har⟩ (2019)
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Variations du (ne) négatif du français dans Twitter. Que peut apporter l’étude des données massives aux questions de sociolinguistique ?
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In: CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes ; https://hal.archives-ouvertes.fr/hal-01970511 ; CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes, Jul 2019, Copenhague, Danemark (2019)
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Social, cognitif, individuel et collectif, quelles articulations et quelles frontières dans un paysage scientifique mouvant ? Le cas de la sociolinguistique
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In: Séminaire de Recherche en Epistémologie des Sciences Cognitives de l'Ecole Normale Supérieure de Lyon. Série: Explication des faits cognitifs et des faits sociaux, conduite en association avec l'Université de Lausanne dans le cadre de l'opération de recherche Alliance Campus Rhodanien "Cognition, Réalités Sociales et Philosophie: Le problème du naturalisme social" ; https://hal.archives-ouvertes.fr/hal-02092077 ; Séminaire de Recherche en Epistémologie des Sciences Cognitives de l'Ecole Normale Supérieure de Lyon. Série: Explication des faits cognitifs et des faits sociaux, conduite en association avec l'Université de Lausanne dans le cadre de l'opération de recherche Alliance Campus Rhodanien "Cognition, Réalités Sociales et Philosophie: Le problème du naturalisme social", Apr 2019, Lyon, France (2019)
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Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese
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In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-02013984 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.8618-8622, ⟨10.1109/ICASSP.2019.8683069⟩ (2019)
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Metaphors in Translation – cultural asymmetries and translator’s expertise
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In: The RaAM 2019 Specialized Seminar ; https://hal.archives-ouvertes.fr/hal-02159066 ; The RaAM 2019 Specialized Seminar, May 2019, Liège, Belgium ; https://raam2019.sciencesconf.org (2019)
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