The European Association for Machine Translation
The European Association for Machine Translation (EAMT) is an organization that serves the growing community of people interested in MT and translation tools, including users, developers, and researchers of this increasingly viable technology.
Latest news
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2023 Anthony C Clarke Award for the EAMT Best Thesis: awardee announcement
17 Apr , 2024Nine PhD theses defended in 2023 were received as candidates for the 2022 edition of the EAMT Best Thesis Award, and all nine were eligible. 20 reviewers were recruited to examine and score the theses, considering how challenging the problem tackled in each thesis was, how relevant the results were for machine translation as a
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EAMT 2024: Bursaries for Translators
28 Mar , 2024Call for Participation The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT opens a
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EAMT 2024: Support for participants from low-income countries and war zones
28 Mar , 2024Call for Participation The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT opens a
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The Anthony C. Clarke Award for the 2023 EAMT Best Thesis
03 Dec , 2023The 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 twelfth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic