Call for Participation and 5-Minute Talks

5-minute talk abstract submission (Deadline: January 12, 2026)

Information about pricing and payment HERE.

 

 

Registration forms 

Please click on the relevant form below; all forms open in a new tab.

Payments are processed via Stripe. The payment link is provided inside each registration form. Registration is confirmed only when both the form and the payment are completed in one session. Institutional invoices can be generated directly through the payment system.

 

Onsite Participation in Block 1 (WS 1 & WS 2), Mar 23–24, 2026

Online Participation in Block 1 (WS 1 & WS 2), Mar 23–24, 2026

Online Participation on Mar 23, 2026

Online Participation on Mar 24, 2026

 

If any issues arise, please contact: office@manova-ai.com.

 

Stipends
To support the next generation of linguistic researchers, the LingTransformer of Gauss:AI Global / MANOVA AI offers five competitive stipends for (under)graduate students. Each stipend fully covers the registration fee for online participation in Block 1. 

 

Applicants are invited to submit a 300-word motivation letter and proof of student status to office@manova-ai.com. Subject line: “Stipend”. 

 

Due to multiple requests, the application deadline has been extended to January 12, 2026, aligning it with the deadline for 5-minute talk abstract submission, see above.This alignment is intended to ensure a fair and transparent application process and to avoid multiple overlapping deadlines.

 

Important:

Stipend applicants should not register for the workshops before receiving the decision on their stipend applications. Applicants who are not awarded a stipend will still be eligible to register for Block 1 at the early-bird rate.

 

 

Block 1 includes:

 

WS 1. What Type of Research Can a Linguist Do with ChatGPT? (Mar 23, 2026)

This introductory workshop examines how linguistic research can leverage ChatGPT despite fundamental differences between linguistic units and computational units in LLMs. It aims to clarify what constitutes a “word” or “grammar” for ChatGPT versus for a linguist, exploring whether a subword-based AI (operating on tokens) can serve as a useful proxy for tasks like corpus annotation. The core question: Given ChatGPT’s subword architecture and lack of explicit grammar, in what ways can it contribute meaningfully to linguistic research (or does it mislead)?

 

WS 2. Grammar Without Grammar: How ChatGPT Handles Syntax and Morphology (Mar 24, 2026)

This workshop dives into whether and how ChatGPT exhibits knowledge of grammar (syntax and morphology) despite not being explicitly programmed with grammatical rules. The aim is to investigate if grammatical regularities are emergent from the training data or somehow encoded implicitly in the model’s architecture. Participants will explore where ChatGPT’s ability to handle grammatical agreement, word order, or morphological inflection comes from, and identify its systematic weaknesses. The guiding questions include: Does ChatGPT “know” grammar, or does it just mimic patterns? If it produces grammatically correct sentences, from where does that knowledge arise? By the end, the goal is for participants to understand the difference between true rule-governed grammatical competence and the model’s statistical approximation of it.