36.3405, FYI: Workshop Series: Linguistics Meets ChatGPT: From Prompt to Theory

[The LINGUIST List]

LINGUIST List: Vol-36-3405. Sat Nov 08 2025. ISSN: 1069 - 4875.

Subject: 36.3405, FYI: Workshop Series: Linguistics Meets ChatGPT: From Prompt to Theory

Moderator: Steven Moran (linguist at linguistlist.org)
Managing Editor: Valeriia Vyshnevetska
Team: Helen Aristar-Dry, Mara Baccaro, Daniel Swanson
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Editor for this issue: Valeriia Vyshnevetska <valeriia at linguistlist.org>

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


Date: 04-Nov-2025
From: Stela Manova [manova at manova-ai.com]
Subject: Workshop Series: Linguistics Meets ChatGPT: From Prompt to Theory


The LingTransformer of Gauss:AI Global is happy to announce the
workshop series "Linguistics Meets ChatGPT: From Prompt to Theory"
Website: https://gaussaiglobal.com/LingTransformer
The announcement is also available at:
https://www.manova-ai.com/workshops
(Gauss:AI Global is a subsidiary of MANOVA AI.)
Format: Hybrid (onsite in Vienna, Austria, and online)
Frequency: Regular series – 8 thematic workshops in 4 cumulative
blocks (March–June 2026) and a final conference in October 2026.
Target group: Linguists, language researchers, and educators
interested in understanding and using Large Language Models (LLMs)
such as ChatGPT for linguistic inquiry. No preliminary knowledge of
computer science is required.
Organizer: Dr. Stela Manova, CEO & Research Lead, MANOVA AI / PI,
Gauss:AI Global. Personal homepage: https://www.stelamanova.com  (with
a link to ChatGPT papers in the announcement banner)
Overview:
The series Linguistics Meets ChatGPT explores how contemporary Large
Language Models (LLMs) transform the possibilities and boundaries of
linguistic research.
By engaging with ChatGPT both as a research tool and a research
object, the series promotes a new kind of linguistic literacy — one
that bridges formal linguistic theory, empirical data handling, and
AI-based modeling. The knowledge gained during the workshops can be
applied in linguistics and across disciplines in academia and outside
it, providing job-relevant skills for linguists and researchers facing
limited academic opportunities.
Dates:
WS Block 1: Mar 23–24, 2026
= WS 1. What Type of Research Can a Linguist Do with ChatGPT?
Linguistic units (phoneme, morpheme, etc.) vs. computational units
(bit, byte, token, etc.); what happens to linguistic categories in a
subword-based system such as ChatGPT, which operates without words;
can subword-based systems serve as a linguistic corpus and assist
corpus annotation?
= WS 2. Grammar Without Grammar: How ChatGPT Handles Syntax and
Morphology
Are grammatical regularities emergent or encoded? Where does the
grammatical knowledge of ChatGPT come from? When and how do words
enter the model?
WS Block 2: Apr 27–28, 2026
= WS 3. Prompting as Experimental Method in Linguistics
How can prompts function as elicitation tools and operationalized
hypotheses? Can prompting manipulate the results of linguistic
research? Do linguists need a prompt documentation database?
= WS 4. Meaning, Semantics, and Hallucination
How does ChatGPT handle meaning, if there is no explicit encoding of
meaning and no embodied cognition? Why can it compare the meaning of
sentences? What do AI “hallucinations” reveal about semantic
competence, truth conditions, and inference?
WS Block 3: May 21–22, 2026
= WS 5. Cross-Linguistic Prompting and Multilingual Modeling
Prompt translation versus language-particular prompting? How does
ChatGPT represent languages if there are no typological parameters?
= WS 6. Sociolinguistics and Style in the Machine
Can ChatGPT model register, politeness, or identity? Should we be
polite with ChatGPT: Do the outcomes of polite and impolite prompting
differ?
WS Block 4: Jun 22–23, 2026
= WS 7. Experimental Design and Data Collection with ChatGPT
How to integrate LLMs responsibly into linguistic research workflows.
Documentation and citation of prompts and LLMs’ assistance.
= WS 8. Toward a Theory of AI Language
What does ChatGPT teach us about the nature of “language” itself? Do
we need a theory of AI language?
Conference: Oct 22–23, 2026
Linguistics Meets ChatGPT: From Prompt to Theory
Participants (and invited speakers) present papers inspired by the
workshop series, demonstrating how the discussions and experiments
have influenced their research.
Structure:
Each workshop includes three parts:
        1.  Introductory Lecture by the organizer (≈ 50 min + 10 min
Q&A)
        2.  Hands-on Session (≈ 45 min + 15 min break)
        3.  Participant 5-minute Talks (after abstract selection) &
Discussion (≈ 60 min)
Additional discussions and consultations with the lecturer will be
offered — in person for onsite participants and online (via Discourse)
for both onsite and online participants.
A relevant lexicon (list of mathematical and computer science
terminology with accessible explanations) will be made available
before every workshop.
Requirements:
= A computer (a tablet is less appropriate, a phone is insufficient).
= You do NOT need a paid ChatGPT subscription for workshop
participation.
Aims and Learning Outcomes:
Participants will:
= Understand how LLMs like ChatGPT structure, generate, and manipulate
linguistic data.
= Learn to design reproducible linguistic experiments using AI-based
and prompt-based methods.
= Critically evaluate the limits of LLM-based data for linguistic
analysis.
= Develop interdisciplinary literacy connecting linguistics, AI, and
data science — skills applicable beyond linguistics.
Upcoming Workshops (Block 1)
= What Type of Research Can a Linguist Do with ChatGPT?
= Grammar Without Grammar: How ChatGPT Handles Syntax and Morphology
Details, including registration fees, will be announced soon.
Support the Series:
If you think that linguistics needs events like this, please consider
a donation.
You can donate via Stripe or by bank transfer (IBAN).
For clarification of conditions (anonymous, named + inclusion in our
list of supporters), contact: office at manova-ai.com.
PayPal donations are possible on request.
Universities and research institutions may also book the series in
full or as individual workshops — please use the same contact email.
Dr. Stela Manova
CEO & Research Lead, MANOVA AI
PI, Gauss:AI Global
Email:
manova at manova-ai.com
manova at gaussaiglobal.com
www.manova-ai.com | www.gaussaiglobal.com
www.manova-ai.eu

Linguistic Field(s): Cognitive Science
                     Computational Linguistics
                     Discipline of Linguistics
                     General Linguistics
                     Linguistic Theories




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

********************** LINGUIST List Support ***********************
Please consider donating to the Linguist List, a U.S. 501(c)(3) not for profit organization:

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 Brill https://www.degruyterbrill.com/?changeLang=en

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

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

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

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

MIT Press http://mitpress.mit.edu/

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

Narr Francke Attempto Verlag GmbH + Co. KG http://www.narr.de/

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

Peter Lang AG http://www.peterlang.com


----------------------------------------------------------
LINGUIST List: Vol-36-3405
----------------------------------------------------------