The Socio-Computational Architecture of Language Acquisition Framework: Linking Social Language Acquisition with Artificial Intelligence.

Sho Tsuji (International Research Center for Neurointelligence, Univ. of Tokyo) Theories and data on language acquisition suggest a range of cues are used, ranging from information on structure found in the linguistic signal itself, to information gleaned from the environmental context or through social interaction. We propose a blueprint for computational models of the early […]

Échanges autour de méthodes d’analyse de données conversationnelles

Échanges autour de méthodes d'analyse de données conversationnelles 14h Abdellah Fourtassi: Using NLP as a research method to study (multimodal) interactive dynamics in early child-caregiver dialogue 15h Uwe Reichel : Prosody parameterization applied to language typology (plus hands-on ***) 16h Leonardo Lancia: Analyses of speech coordinative patterns 17h General discussion *** The hands-on material can be downloaded […]

From prelinguistic communication to word use in typically hearing and deaf infants

Danielle Matthews (Department of psychology, The University of Sheffield) Around the end of the first year infants make the transition from prelinguistic communication (babble, gesture, eye contact) to word use. I will present a series of studies that have  1) measured individual differences that predict this transition  2)  tested experimentally if it is possible to […]

Linking Language evolution, language acquisition, and language diversity: How social and cognitive pressures shape learning and communication

Limor Raviv (Max Planck Institute for Psycholinguistics) ABSTRACT: What are the social, environmental, and cognitive pressures that shape the evolution of language in our species? Why are there so many different languages in the world? And how did this astonishing linguistic diversity come about? These are some of the most interesting questions in the fields […]

Exploring language development in autistic and TD children: individual differences, linguistic environment and conversational dynamics

Riccardo Fusaroli (Interacting Minds Center, Aarhus University) Le séminaire se tiendra en visioconférence via le lien : https://univ-amu-fr.zoom.us/j/2515421853?pwd=elpEeVhxRTV5b01rZGUxaWY4Qy9ZQT09 Language development is traditionally explored in terms of individual differences and/or linguistic environment. In this talk I will present a more comprehensive framework, where children actively engage and potentially the linguistic environment, and analogously adult speakers adapt […]

Anything but boring: How looking at tasks can tell us more about language development.

Christina Bergmann (Max Planck Institute for Psycholinguistics) Le séminaire se tiendra en visioconférence via le lien : https://univ-amu-fr.zoom.us/j/2515421853?pwd=elpEeVhxRTV5b01rZGUxaWY4Qy9ZQT09 Abstract: Work that focuses on how we measure children's knowledge may seem a hurdle towards discovery. In this talk, I will argue that inspecting the methods we use can tell us a great deal about the underlying […]

Language development as a joint process: Why the simultaneous learning of Form, Content, and Use is more a help than a hindrance

via zoom

Abdellah Fourta (Aix-Marseille University & INRIA Paris) Abstract: To acquire language, children need to learn form (e.g., phonology), content (e.g., word meaning), and use (e.g., finding the right words to convey a communicative intent). The scientific study of language development has traditionally studied these dimensions separately. Indeed, one could imagine that children first acquire the […]

Computational study of active and interactive word learning

via zoom

Lieke Gelderloos, a Ph.D. researcher at Tilburg University, whose work is at the intersection of cognitive science, linguistics, and artificial intelligence The zoom link: https://univ-amu-fr.zoom.us/j/2515421853 Abstract: Models of cross-situational word learning typically characterize the learner as a passive observer. However, a language learning child can actively participate in verbal and non-verbal communication. We present a computational model […]