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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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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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Abstract:
The language acquisition literature shows that children do not build their lexicon by segmenting the spoken input into phonemes and then building up words from them, but rather adopt a top-down approach and start by segmenting word-like units and then break them down into smaller units. This suggests that the ideal way of learning a language is by starting from full semantic units. In this paper, we investigate if this is also the case for a neural model of Visually Grounded Speech trained on a speech-image retrieval task. We evaluated how well such a network is able to learn a reliable speech-to-image mapping when provided with phone, syllable, or word boundary information. We present a simple way to introduce such information into an RNN-based model and investigate which type of boundary is the most efficient. We also explore at which level of the network's architecture such information should be introduced so as to maximise its performances. Finally, we show that using multiple boundary types at once in a ... : Accepted at CoNLL20 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2006.08387 https://arxiv.org/abs/2006.08387
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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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