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Francesca Padovani @frap98.bsky.social · 17h

Don’t hesitate to reach out with any questions or doubts :)
Every contribution is more than welcome! 🙏😍

Francesca Padovani @frap98.bsky.social · 17h

These are living datasets that researchers around the world can enrich as new resources become available
On the website of the project babylm.github.io/babybabellm/
you can find information about the dataset creation pipeline, training, and evaluation.

BabyBabelLM

babylm.github.io

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Francesca Padovani @frap98.bsky.social · 17h

This was made possible thanks to the dedication of each language-specific expert and the coordination of senior researchers, @jumelet.bsky.social and @lchoshen.bsky.social among others.

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Francesca Padovani @frap98.bsky.social · 17h

𝐃𝐨 𝐲𝐨𝐮 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐬𝐞𝐞 𝐰𝐡𝐚𝐭 𝐦𝐮𝐥𝐭𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐞𝐟𝐟𝐨𝐫𝐭 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞? 🇨🇳🇮🇩🇸🇪

Here’s the proof! 𝐁𝐚𝐛𝐲𝐁𝐚𝐛𝐞𝐥𝐋𝐌 is the first Multilingual Benchmark of Developmentally Plausible Training Data available for 45 languages to the NLP community 🎉

arxiv.org/abs/2510.10159

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Francesca Padovani @frap98.bsky.social · 17h

This was made possible thanks to the dedication of each language-specific expert and the coordination of senior researchers, in particular @jumelet.bsky.social ! 🤩

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Reposted by Francesca Padovani

Shravan Vasishth @shravanvasishth.bsky.social · Mar 20

Computational Psycholinguistics Meeting 2025

cpl2025.sites.uu.nl

When: December 18–19, 2025

Where: Utrecht, the Netherlands

Abstract submission deadline: June 15, 2025

Organizers: Jakub Dotlačil, Lena Jäger, Bruno Nicenboim, Ece Takmaz

Computational Psycholinguistics Meeting 2025 | Universiteit Utrecht

Universiteit Utrecht

cpl2025.sites.uu.nl

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Reposted by Francesca Padovani

Letterboxd @letterboxd.social · 13d

Jane Goodall (1934-2025) 🤍

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Reposted by Francesca Padovani

Bastian Bunzeck @bbunzeck.bsky.social · 19d

My very first book review is out now 📚
Muchas gracias to @stefanhartmann.bsky.social for inviting me, looking forward to our next project(s) 😇

Stefan Hartmann @stefanhartmann.bsky.social · 19d

It's been a while since I've written a book review - here's our review of Herbst & Hoffmann (2024), my first but definitely not last collaboration with the brilliant @bbunzeck.bsky.social doi.org/10.1017/S136... ($)

Thomas Herbst and Thomas Hoffmann, A Construction Grammar of the English language: CASA – a constructionist approach to syntactic analysis (Cognitive Linguistics in Practice 5). Amsterdam and Philadel...

doi.org

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Reposted by Francesca Padovani

GroNLP @gronlp.bsky.social · 14d

𝐓𝐡𝐞 𝐈𝐍𝐂𝐑𝐄𝐂 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 (𝐄𝐑𝐂 𝐂𝐨𝐆, 𝐏𝐈 𝐀𝐧𝐚 𝐆𝐮𝐞𝐫𝐛𝐞𝐫𝐨𝐟) 𝐢𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚 𝐧𝐞𝐰 𝐭𝐞𝐚𝐦 𝐦𝐞𝐦𝐛𝐞𝐫! ⁣🎉
⁣
We have an opening for a 𝐏𝐨𝐬𝐭𝐝𝐨𝐜 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 in 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲, 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 for a starting duration of 12 months extendible to 30 months.⁣

For further details -> www.rug.nl/about-ug/wor...

Vacatures bij de RUG

www.rug.nl

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Reposted by Francesca Padovani

GroNLP @gronlp.bsky.social · 18d

𝗧𝗵𝗲 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀’ 𝗡𝗶𝗴𝗵𝘁 𝘄𝗮𝘀 𝗮𝗻𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲𝗱 𝗯𝘆 𝗮𝗻 𝗲𝗾𝘂𝗮𝗹𝗹𝘆 𝗲𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗮𝗳𝘁𝗲𝗿𝗻𝗼𝗼𝗻! 😍
Here are some photos of our GroNLP station at the Forum, where we welcomed high school classes and potential future researchers. 🧑‍🔬🤖
Quizzes, puzzles, demos, card games, and of course, lots of chocolate! 🍫

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Francesca Padovani @frap98.bsky.social · Sep 12

Thanks to the entire CIRM team and the @ilcb.bsky.social for organizing this truly special week !

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Francesca Padovani @frap98.bsky.social · Sep 12

I can only 𝗵𝗶𝗴𝗵𝗹𝘆 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗻𝗴 in this training week in its future editions! 🌳

A special thanks to my amazing colleagues from Amsterdam, @mdhk.net and @cpouw.bsky.social , and to Felicia Stich from Göttingen :))

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Francesca Padovani @frap98.bsky.social · Sep 12

I had the chance to meet fellow researchers full of brilliant ideas and a genuine willingness to share, attend lectures, and listen to invited speakers who were not only knowledgeable but eager to engage in active intellectual exchange.

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Francesca Padovani @frap98.bsky.social · Sep 12

Set in a breathtaking location amid the Mediterranean scrub of Parc des Calanques, the program was intense and incredibly enriching.

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Francesca Padovani @frap98.bsky.social · Sep 12

The 𝗜𝗟𝗖𝗕 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 in Marseille went beyond all my expectations! 💯

A week has already flown by since I had one of the most formative experiences of my PhD so far. 👩‍🎨

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Reposted by Francesca Padovani

GroNLP @gronlp.bsky.social · Sep 10

We recharged our batteries with a wonderful weekend together in the province of Drenthe! 🌳🍃
As per tradition, we kick off the academic year with plenty of sharing, smiles, and sports 💘

We wish everyone a wonderful start of the academic year <3 may it be inspiring and exciting 🎓

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Reposted by Francesca Padovani

clarakunst.bsky.social @clarakunst.bsky.social · Jun 11

Rowena Garcia is presenting research at #ISB15 showing that #crosslinguistic #priming occurs across #typologically unrelated languages & without overlap of constituent order. The degree of overlap modulated the magnitude of the effect.
#Tagalog #Indonesian #English

@isbilingualism.bsky.social

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Reposted by Francesca Padovani

GroNLP @gronlp.bsky.social · Aug 4

#ACL2025 has just finished and it was great to meet with old friends and connect with new colleagus. In case you missed our papers/presentations, this was us 🐮👇
@facultyofartsug.bsky.social

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Reposted by Francesca Padovani

Caroline Rowland @carorowland.bsky.social · Jul 2

Fabulous blog about screentime from Gonzales, Golinkoff & Hirsh-Pasek here 1/ childandfamilyblog.com/children-and...

Children & Digital Technology | The Controversies

In this guide we discuss and make practical recommendations for parents on children's use of digital technology.

childandfamilyblog.com

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Reposted by Francesca Padovani

Caroline Rowland @carorowland.bsky.social · Jun 27

Children are incredible language learning machines. But how do they do it? Our latest paper, just published in TICS, synthesizes decades of evidence to propose four components that must be built into any theory of how children learn language. 1/
www.cell.com/trends/cogni... @mpi-nl.bsky.social

Constructing language: a framework for explaining acquisition

Explaining how children build a language system is a central goal of research in language acquisition, with broad implications for language evolution, adult language processing, and artificial intelli...

www.cell.com

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Francesca Padovani @frap98.bsky.social · Jun 20

Excited to welcome a new member to the family of language-specific BLiMPs 🎊 this time putting Turkish in the spotlight!
Thanks to the meticulous, linguistically grounded work of the brilliant @ezgibasar.bsky.social. We hope will help push forward research on typologically diverse languages!

Arianna Bisazza @arianna-bis.bsky.social · Jun 19

Proud to introduce TurBLiMP, the 1st benchmark of minimal pairs for free-order, morphologically rich Turkish language!

Pre-print: arxiv.org/abs/2506.13487

Fruit of an almost year-long project by amazing MS student @ezgibasar.bsky.social in collab w/ @frap98.bsky.social and @jumelet.bsky.social

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs

We introduce TurBLiMP, the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs). Covering 16 linguis...

arxiv.org

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Francesca Padovani @frap98.bsky.social · May 30

CDL may still hold unique value when used in models that better reflect the dynamics of real-world language learning 🤗 🤲

Let's keep investigating!

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Francesca Padovani @frap98.bsky.social · May 30

Trained on static text without interaction or feedback, they miss the communicative and social context central to how children learn. Rather than dismissing CDL, we argue for rethinking its role within more interactive and cognitively grounded learning frameworks 📘

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Francesca Padovani @frap98.bsky.social · May 30

While our findings suggest that Child-Directed Language (CDL) does not consistently enhance syntax learning in current models, they also highlight a key limitation: our models learn in ways fundamentally different from humans. 👶🤵‍♀️

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Francesca Padovani @frap98.bsky.social · May 30

We found that models trained on CDL consistently underperform compared to those trained on Wikipedia, regardless of language, model architecture, or syntactic evaluation task, even when controlling for lexical frequency effects 🔠

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