36.1197, Calls: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session) (USA)

[The LINGUIST List]

LINGUIST List: Vol-36-1197. Thu Apr 10 2025. ISSN: 1069 - 4875.

Subject: 36.1197, Calls: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session) (USA)

Moderator: Steven Moran (linguist at linguistlist.org)
Managing Editor: Justin Fuller
Team: Helen Aristar-Dry, Steven Franks, Joel Jenkins, Daniel Swanson, Erin Steitz
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Editor for this issue: Erin Steitz <ensteitz at linguistlist.org>

================================================================


Date: 07-Apr-2025
From: Gasper Begus [begus at berkeley.edu]
Subject: Deep Phonology: Doing phonology with deep learning (AMP 2025 Special Session)


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

Date: 27-Sep-2025 - 27-Sep-2025
Location: Berkeley, California, USA
Contact Person: Gasper Begus
Meeting Email: begus at berkeley.edu
Web Site:
https://sites.google.com/berkeley.edu/amp2025/special-session

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

Call Deadline: 15-Apr-2025

Call for Papers:
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.



------------------------------------------------------------------------------

********************** LINGUIST List Support ***********************
Please consider donating to the Linguist List to support the student editors:

https://www.paypal.com/donate/?hosted_button_id=87C2AXTVC4PP8

LINGUIST List is supported by the following publishers:

Bloomsbury Publishing http://www.bloomsbury.com/uk/

Cambridge University Press http://www.cambridge.org/linguistics

Cascadilla Press http://www.cascadilla.com/

De Gruyter Mouton https://cloud.newsletter.degruyter.com/mouton

Edinburgh University Press http://www.edinburghuniversitypress.com

Elsevier Ltd http://www.elsevier.com/linguistics

John Benjamins http://www.benjamins.com/

Language Science Press http://langsci-press.org

Lincom GmbH https://lincom-shop.eu/

Multilingual Matters http://www.multilingual-matters.com/

Netherlands Graduate School of Linguistics / Landelijke (LOT) http://www.lotpublications.nl/

Oxford University Press http://www.oup.com/us

Wiley http://www.wiley.com


----------------------------------------------------------
LINGUIST List: Vol-36-1197
----------------------------------------------------------