The European Association for Machine Translation (EAMT, http://www.eamt.org) is an organization that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology.

The EAMT invites entries for its thirteenth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related to machine translation.

Previous year winners can be found at https://eamt.org/best-thesis-award/.

Eligibility

Researchers who

• have completed a PhD (or equivalent) thesis on a relevant topic in a European, African or Middle Eastern^[1] institution within calendar year 2024,
• have not previously won another international award for that thesis, and,
• are members of the EAMT at the time of submission,

are invited to submit their theses to the EAMT for consideration.

^[1] Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Oman, Palestine, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen.

Panel

The submissions will be judged by a panel of experts who will be specifically appointed, and which will be ratified by the Executive Board of the EAMT.

Selection criteria

Each thesis will be judged according to how challenging the problem was, to how relevant the results are for machine translation as a field, and to the strength of their impact in terms of scientific publications.

Scope

The scope of the thesis does not need to be confined to a technical area, and applications are also invited from students who carried out their research into commercial and management aspects of machine translation.

Possible areas of research include:

• development of machine translation or advanced computer-assisted translation: methods, software or resources
• machine translation for less-resourced languages
• the use of these systems in professional environments (freelance translators, translation agencies, and professionals outside of the language industry)
• the increasing impact of machine translation on non-professional Internet users and its impact in communications, social networking, etc.
• spoken language translation
• the integration of machine translation software in larger IT applications
• the evaluation of machine translation systems in real tasks such as those above
• the cross-fertilisation between machine translation and other language technologies
• multilingual language technologies, including with large language models

Prize

The winner will be announced in March 2025 and will receive a prize of €500, together with an inscribed certificate. The recipient of the award will be required to briefly present their research at MT Summit 2025 to be held from 23th to 27th June 2025 in Geneva, Switzerland (https://mtsummit2025.unige.ch). In order to facilitate this, the EAMT will waive the winner’s registration costs, and will make available a travel bursary of €200 to enable the recipient of the award to attend the said conference. The prize includes complimentary membership in the EAMT for 2026.

Submission

Candidates will submit, using EasyChair

(https://easychair.org/conferences/?conf=eamt2025bta), a single PDF file containing:

• a 2-page summary of your thesis in English, containing:
  • your full contact details,
  • the name and contact details of your supervisor(s),
  • the main aspects of your work, namely goal/objectives, methodology and results.
• a copy of your CV in English (at most one page, plus a complete list of publications directly related to the thesis)
• an electronic copy of your thesis
• optionally, an appendix with any other relevant information on the thesis

By submitting their work, authors

• agree that, in case they are granted the award, any subsequently published version of the thesis should carry the citation “The Anthony C. Clarke Award for the 2024 EAMT Best Thesis” and
• acknowledge the right of the EAMT to publicize the granting of the award.

For this year’s Best Thesis Award we are requiring candidates to be an individual EAMT member at the time of submission. For EAMT memberships, please visit: https://eamt.org/101-2/.

Closing date

• Submission deadline: January 31, 2025, 23:59 CET.
• Award notification: March 2025.