Latest News 
2019 EAMT Best Thesis Awardee
Felix Stahlberg's thesis "The Roles of Language Models and Hierarchical Models in Neural Sequence-to-Sequence Prediction" (University of Cambridge — now at Google) has been awarded in the 2019 edition of the EAMT Best Thesis Award...
EAMT 2020 Postponed Until November
It is with great reluctance that we announce today the decision to postpone our annual conference in Lisbon on the week of November 2 to 6, 2020...
EAMT 2020 first Call for Papers
The European Association for Machine Translation (EAMT) invites everyone interested in machine translation, translation-related tools and resources to participate in this conference.
EAMT Sponsorship of Activities 2020 [DEADLINE EXTENDED]
[DEADLINE EXTENDED: 25/10/2019] As part of the EAMT's commitment to promote research, development and awareness about translation technologies, it is launching a call for proposals to fund MT-related activities during 2020
2019 EAMT best thesis award: deadline EAMT 2020 research papers
The EAMT invites entries for its eighth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related to machine translation.
Older newsNEWS ARCHIVE
MT Summit XII takes place
The 12th MT Summit conference took place in the Chateau Laurier, Ottawa, Canada from August 26-31, 2009 and was considered by all to be a very interesting meeting. There were three parallel sessions: Research, Governments Users and Commerical Users, which presented an interesting insight on the current state of play from some different perspectives.
To summarise proceedings, all user studies showed that MT improved either quality, throughput, or both. The only difference was by how much (from 5-15% in some cases, to 150% in others). At the same time, MT developers (NRC Canada, Edinburgh etc.) were working on MT with and for users. It has become clear, then, that MT has matured enough to be effective for translators, and as was mentioned by many speakers, it will be used soon by translators. By the next Summit, it is expected that many more instances of such successful experiments will be demonstrated! It is no longer a question of whether MT will be useful – that question has been well and truly answered.