Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session)

Date: 27-Sep-2025 - 27-Sep-2025
Location: Berkeley, California, USA
Contact: Gasper Begus
Contact Email: [email protected]
Meeting URL: https://sites.google.com/berkeley.edu/amp2025/special-session

Linguistic Field(s): Computational Linguistics; Language Acquisition; Phonetics; Phonology

On Saturday, September 27, 2025, following the main AMP session held on September 25-26, 2025, there will be a special session on "Deep Phonology: Doing phonology with deep learning" held on the UC Berkeley campus.

Phonology has been modeled using rules, constraints, finite state machines, exemplars, and many other approaches. Recent advances in deep learning have prompted researchers to explore how deep neural architectures (e.g., seq2seq models, transformers, RNNs, LSTMs, VAEs, GANs) can shed new light on human sound systems. This workshop aims to bring together scholars who use—or are interested in—deep learning to model phonological processes and phenomena.

We welcome abstracts that address any aspect of deep learning in phonology, including (but not limited to) theoretical implications, empirical results, modeling and architectural choices, and evaluation methods. The special session will include presentations, followed by a dinner and open discussion about the future directions of modeling phonology using deep learning.

The invited speaker will be Stephan Meylan, Ph.D. (UC Berkeley), whose work explores the intersection between deep learning, cognitive science, and linguistics.

Submit your abstract here: https://app.oxfordabstracts.com/stages/77796/submitter

We are proudly supported by the Institute of Cognitive and Brain Sciences at UC Berkeley.