The eighteenth edition of the MT Marathon will be organized by the Language Technology Research group at the University of Helsinki, Finland, with sponsorship of EAMT and HPLT.
Each Machine Translation Marathon is a week-long gathering of machine translation researchers, developers, students and users featuring:
MT Lectures and Labs covering the basics and tutorials.
Keynote Talks from experienced researchers and practitioners.
Presentations of research and open source tools related to MT.
Hacking Projects to advance tools or research in one week or start new collaborations.
Details can be found on the event page: https://blogs.helsinki.fi/language-technology/mt-marathon-2025/
The registration is free of charge for EAMT members. To register, use the following link:
https://forms.gle/uvrZuWpeSbcmJozK7. The registration form will remain open until the start of the event or the space we can accommodate is filled.
Call for Abstract Submissions
The MT Marathon will again host an open session with poster presentations related to MT/NLP research and open-source tools. We invite students, developers and researchers to submit short abstracts (1 page) featuring previously published results, open-source tool demos, and work in progress. Abstracts are lightly reviewed for topical scope, and all relevant submissions will be accepted for presentation.
Deadline: June 15
As always, project topics will get finalized on the first day of the Marathon, but it was found useful in the past to announce and refine project proposals earlier. If you have an idea what you'd like to implement in a small team of fellow participants, or if you just want to peek at what is going to be proposed, have a look or edit the live document linked here: https://docs.google.com/document/d/1A4Iy_iOVvYHKAwnSV2ZGIPru7t-jeMauCQd6i9GWq5k/edit?usp=sharing .
The event will include a poster session, labs, and lessons from experts in the field, including:
Ayodele Awokoya, McPherson University, University of Ibadan, Masakhane
Wilker Aziz, University of Amsterdam
Marta R. Costa-jussà, Meta AI
Barry Haddow, University of Edinburgh
Sara Papi, FBK Trento
Amit Moryossef, ETH, Bar-Ilan University, sign.mt
Juan Antonio Pérez, University of Alacant
Gema Ramírez-Sánchez, Prompsit
Marco Turchi, Zoom
Jörg Tiedemann, University of Helsinki