Abdellah Fourtassi

@fourtassi.bsky.social

Multimodal Communication and Learning in Social Interactions (CoCoDev team). Associate Professor of Computer/Cognitive Science at Aix-Marseille University. afourtassi.github.io

My current position will be coming to a close at the end of 2026, so I’m beginning to explore next steps. I’m a postdoctoral researcher at UCL working at the intersection of language, cognition, and multimodal communication. 1/4 👇

Are you an advanced PhD student looking for a reviewing experience? I’m looking for one emergency reviewer for one paper in ACL Rolling Review in the track "Linguistic Theories, Cognitive Modeling, and Psycholinguistics" --due before next Tuesday April 28th.

Applications open for the School on Analytical Connectionism 📅 August 17-28, 2026 🗺️ Chalmers University of Technology Gothenburg 📚 Topical focus: language acquisition ... with me, Michael Biehl, Paul Smolensky & many other incredible researchers 😊 www.analytical-connectionism.net/school/2026/

2026 School on Analytical Connectionism

A 2-week summer course hosted at Chalmers University of Technology on analytical approaches to language acquisition and higher-level cognition.

analytical-connectionism.net

What if you could automatically transcribe children's speech sounds from their first babbles to full sentences? Screening for speech delays. Comparing how kids learn to talk across languages. Following how sounds evolve month by month. We're building toward this with BabAR🧵 (sound on 🔊)

Open PhD/Postdoc position (start: Oct 2026). Topic: AI/LLMs and child language/communicative/cognitive development. The exact project will be shaped with the candidate. Join our team @univ-amu.fr at the intersection of computer and cognitive science (& right next to the Calanques!). Send me your CV!

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Deadline approaching (March 20), consider submitting! The process is flexible to accommodate different situations: - Hybrid presentation mode - Direct submission or via ARR - Non-archival option: present work that is (or will be) published elsewhere - Short (4 pages) or long (8 pages) papers

Abdellah Fourtassi@fourtassi.bsky.social · 7mo ago

Thrilled to announce the 1st Workshop on Computational Developmental Linguistics (CDL) at ACL 2026 🎉 A new venue at the intersection of development linguistics × modern NLP, spearheaded by @fredashi.bsky.social @marstin.bsky.social, and and outstanding team of colleagues! A thread 🧵

🚨 New Paper: How can AI help us understand child lang dev? If we train models on children’s environment, they can tell us if this environment support learning. E.g., models tested child linguistic input (Huebner et al.) and visual input (Vong et al.). What about Social Interaction? (a thread 🧵)

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New Paper out in @cp-trendscognsci.bsky.social! Language learning as ontogenetic adaptation Marisa Casillas and I argue that language learning: 👪 is a by-product of social interaction ↘️ integrates a wealth of information sources 🌐 adapts to the cultural context www.cell.com/trends/cogni...

Language learning as ontogenetic adaptation

Language learning is a multi-threaded, multi-mechanism process. It is multi-threaded in that it emerges as a byproduct of addressing multiple goals while engaging in social interactions. It is multi-m...

cell.com

🐒 New #Research featuring several ILCB researchers! A new annotated dataset of common marmoset vocalizations is now available, offering: • 253h of high-quality recordings • 800k+ audio files • 215k annotated calls • A trained classifier to support future research 🔗Link: hal.science/hal-05073707v1

A large annotated dataset of vocalizations by common marmosets

<div><p>Non-human primates, our closest relatives, use a wide range of complex vocal signals for communication within their species. Previous research on marmoset (Callithrix jacchus) vocalizations has been limited by sampling rates not covering the whole hearing range and insufficient labeling for advanced analyses using Deep Neural Networks (DNNs). Here, we provide a database of common marmoset vocalizations, which were continuously recorded with a sampling rate of 96 kHz from an animal holding facility housing simultaneously ~20 marmosets in three cages. The dataset comprises more than 800,000 files, amounting to 253 hours of data collected over 40 months. Each recording lasts a few seconds and captures the marmosets' social vocalizations, encompassing their entire known vocal repertoire during the experimental period. Around 215,000 calls are annotated with the vocalization type. We offer a trained classifier to assist future investigations. Finally, we validated our dataset by sampling 700 representative recordings and cross-examining them with four experts.</p></div>

hal.science

📣 Very happy to announce a new BBS target article with Nick Chater in which we propose a new theory of cultural evolution, highlighting the importance of bottom-up social interaction in explaining the emergence of cultural complexity 🧵 1/8 www.cambridge.org/core/journal...

Social Tinkering: The Social Foundations of Cultural Complexity | Behavioral and Brain Sciences | Cambridge Core

Social Tinkering: The Social Foundations of Cultural Complexity

cambridge.org