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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Gesture Helps Second and Foreign Language Learning and Teaching Stam, Gale; Tellier, Marion In: Gesture in Language: Development Across the Lifespan ; https://hal.archives-ouvertes.fr/hal-03464264 ; Aliyah Morgenstern & Susan Goldin-Meadow. Gesture in Language: Development Across the Lifespan, Mouton de Gruyter; APA, 2021, 978-1-4338-3629-9 ; https://www.apa.org/pubs/books/gesture-in-language?tab=1 (2021) BASE Show details 2 Building a multimodal corpus to study the development of techno-semio-pedagogical competence across different videoconferencing settings and languages Holt, Benjamin; Cappellini, Marco; Bigi, Brigitte... In: https://halshs.archives-ouvertes.fr/halshs-03476577 ; 2021 (2021) BASE Show details 3 Modeling speech act development in early childhood: the role of frequency and linguistic cues Nikolaus, Mitja; Maes, Juliette; Fourtassi, Abdellah In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. ; 43rd Annual Meeting of the Cognitive Science Society. ; https://hal.archives-ouvertes.fr/hal-03236607 ; 43rd Annual Meeting of the Cognitive Science Society., Jul 2021, Vienna, Austria (2021) BASE Show details 4 Large-scale study of speech acts' development using automatic labelling Nikolaus, Mitja; Maes, Juliette; Auguste, Jeremy; Prevot, Laurent; Fourtassi, Abdellah In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03234620 ; Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria (2021) Abstract: International audience ; Studies of children's language use in the wild (e.g., in the context of child-caregiver social interaction) have been slowed by the time-and resource-consuming task of hand annotating utterances for communicative intents/speech acts. Existing studies have typically focused on investigating rather small samples of children, raising the question of how their findings generalize both to larger and more representative populations and to a richer set of interaction contexts. Here we propose a simple automatic model for speech act labeling in early childhood based on the INCA-A coding scheme (Ninio et al., 1994). After validating the model against ground truth labels, we automatically annotated the entire English-language data from the CHILDES corpus. The major theoretical result was that earlier findings generalize quite well at a large scale. Our model will be shared with the community so that researchers can use it with their data to investigate various question related to language use both in typical and atypical populations of children. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SCCO]Cognitive science; [SHS.PSY]Humanities and Social Sciences/Psychology; automatic annotation; first language acquisition; speech acts URL: https://hal.archives-ouvertes.fr/hal-03234620 https://hal.archives-ouvertes.fr/hal-03234620/document https://hal.archives-ouvertes.fr/hal-03234620/file/Large_scale_study_of_speech_acts__development_using_automatic_labelling%20.pdf BASE Hide details

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