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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EAMT Sponsorship of Activities: Students’ edition (INSTRUCTIONS UPDATED)
13 Oct , 2020Call for Proposals The European Association for Machine Translation (EAMT) 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. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is launching
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EAMT Sponsorship of Activities (DEADLINE EXTENDED)
13 Oct , 2020Call for Proposals The European Association for Machine Translation (EAMT) 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. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for
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The Anthony C. Clarke Award for the 2020 EAMT Best Thesis
19 Aug , 2020The 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 ninth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic
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2019 EAMT Best Thesis Awardee
12 May , 2020Ten PhD theses defended in 2019 were received as candidates for the 2019 edition of the Anthony C Clarke Award – EAMT Best Thesis Award, and all ten were eligible. 36 reviewers and six EAMT Executive Committee members were recruited to examine and score the theses, considering how challenging the problem tackled in each thesis