Gasper Begus
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begus.bsky.social
Gasper Begus
@begus.bsky.social
Assoc. Professor at UC Berkeley
Artificial and biological intelligence and language
Linguistics Lead at Project CETI 🐳
PI Berkeley Biological and Artificial Language Lab 🗣️
College Principal of Bowles Hall 🏰
https://www.gasperbegus.com
Artificial Humanities launches in a conversation with Ted Chiang and James Yu at the Commonwealth club!
November 11, 2025 at 6:22 PM
On whale rights, in the Inside Climate News today!

“They have grandmothers, family bonds and conversations. They mourn their dead,” he said. “When you listen long enough, you realize their inner worlds might be as complex as ours.”

insideclimatenews.org/news/2910202...
October 29, 2025 at 4:23 PM
$47 for the ticket and the book!
October 29, 2025 at 2:18 AM
"The capacity for language exists along a continuum [...]. The idea that language development does not require uniquely human properties becomes increasingly important as legal boundaries expand to include nonhuman species."
October 23, 2025 at 8:49 PM
From ancient languages to AI!
October 14, 2025 at 6:19 PM
Did you know that historical linguistics inspired Darwin and his evolutionary theory?
October 14, 2025 at 6:19 PM
So excited for this interview where I talk about how studying ancient languages feels like time travel, my work on poetic meter of the Rigveda, how transformative the study of historical linguistics is and about some of my favorite languages and linguists.
October 14, 2025 at 6:19 PM
Excited to announce that our project "Deep language learning: from fiwGAN to LLMs" was awarded the Peder Sather Grant.

We're starting a multi-year collaboration between @uio.no and @ucberkeleyofficial.bsky.social 🇳🇴
October 9, 2025 at 7:38 PM
AI is reaching the level of complexity where quantitative evaluations are often not feasible anymore.

The Artificial Humanities book outlines how humanistic methodology can be used to approach and evaluate AI today.

The decade of the humanities is here!

@ninabegus.bsky.social
October 7, 2025 at 6:47 PM
Exciting talk in the linguistics department at UC Berkeley tomorrow!
@rtommccoy.bsky.social
October 5, 2025 at 9:13 PM
Our work on how to model language in humans, animals, and machines with more realistic deep learning approaches in the Communications of ACM today.
cacm.acm.org/news/can-ai-...
October 2, 2025 at 4:39 PM
#DeepPhonology special session at AMP:

Bruno Ferenc Šegedin

"Evaluating Wasserstein GAN discriminators as models of human well-formedness judgments"
September 30, 2025 at 8:22 PM
The plenary talk at the hashtag#DeepPhonology Special Session of the AMP 2025 on modeling language with no text from raw data.

"Modeling language acquisition as speech development"

Stephan Meylan (UC Berkeley)

Traditional approaches to language acquisition have conceived of the
September 27, 2025 at 10:16 PM
How much morphology and phonology does wav2vec 2.0 learns?

"Emergent morpho-phonological patterning in a model of spoken word recognition"
Jon Gauthier (UCSF), Matthew Leonard (UCSF), Canaan Breiss (USC), Edward Chang (UCSF)
September 27, 2025 at 6:09 PM
Continuing with a talk on phrasal stress and LLMs:
"Can large language models predict English phrasal stress?"

Jinyoung Jo (Stanford), Sean Choi (Santa Clara U), Arto Anttila (Stanford)
September 27, 2025 at 6:09 PM
Second talk on using deep learning for low resource ASR:

"Comparing Phonological Feature Sets for Low-Resource ASR"

Alessio Tosolini (Yale), Massimo Daul (NYU), Ayla Karakaş (Yale), Claire Bowern (Yale)
September 27, 2025 at 4:53 PM
First talk on using deep learning for automatic IPA (AutoIPA):

"AI-assisted analysis of phonological variation in English" Virginia Partridge (UMass Amherst), Joe Pater (UMass Amherst), Parth Bhangla (UMass Amherst), Ali Nirheche (UMass Amherst), Brandon Prickett (UMass Amherst)
September 27, 2025 at 4:53 PM
A special session on Deep Phonology at AMP 2025 is off to a great start.

Our academic predecessors could only dream about modeling phonology from raw data and creating an artificial baby language learner that learns language from sound. Many of these things are now possible.
September 27, 2025 at 4:53 PM
One of the main linguistic conferences on phonology has just started.

It's such a special moment, because who would have thought that a poster on whale phonology would be presented at the Annual Meeting on Phonology.

@projectceti.bsky.social
September 25, 2025 at 4:40 PM
Deep tonology!
September 23, 2025 at 10:45 PM
How to model learning of Mandarin tones with no supervision, from raw sound, with a realistic model of human language learning?
The model learns the four tones (male only near perfectly) and also replicates stages of tone learning in language acquisition. What is more difficult to learn for children
September 23, 2025 at 3:54 PM
A news feature in Nature reporting on our paper that shows whale vocalizations are analogous to human vowels and diphthongs.

The paper accepted for publication as of today @projectceti.bsky.social
September 17, 2025 at 9:53 PM
September 11, 2025 at 8:24 PM
A beautiful quote by David this week in @newscientist.com: Gruber is more positive, though. “We wrote the definition of language and other animals will never be able to pass it, but if you see language as a continuum, then whales have it,” he says.

@projectceti.bsky.social
September 3, 2025 at 6:51 PM
Read about our paper in @spectrum.ieee.org IEEE Spectrum print edition.
September 2, 2025 at 7:28 PM