36.639, Confs: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session) / USA

[The LINGUIST List]

LINGUIST List: Vol-36-639. Wed Feb 19 2025. ISSN: 1069 - 4875.

Subject: 36.639, Confs: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session) / USA

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Date: 19-Feb-2025
From: Gasper Begus [begus at berkeley.edu]
Subject: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session)


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: begus at berkeley.edu
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.



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