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FABIENNE BRAUNE 2015 EAMT Best Thesis Awardee

Six PhD theses were received as candidates to the 2015 edition of the EAMT Best Thesis Award, and all six were eligible. A panel of EAMT members (Khalil Sima'an, Andy Way, Fred Hollowood, Christian Hardmeier, Mikel L. Forcada and Lucia Specia, EAMT secretary) was assembled to review the theses. The panel carefully considered how challenging the problem tackled in each thesis was, how relevant the results are for machine translation as a field, and what was the strength of their impact in terms of scientific publications. This was a very competitive edition, which made it particularly hard to select a winner. After a final deliberation, the panel has decided to grant the 2015 edition of the EAMT Best Thesis Award to Fabienne Braune's thesis "Decoding Strategies for Syntax-based Statistical Machine Translation" (LMU Munich, supervised by Dr. Andreas Maletti and Dr. Alexander Fraser).

Dr. Braune will receive a prize of €500, together with a suitably-inscribed certificate. In addition, Dr Braune has been invited to present a summary of the thesis at the Annual Conference of the EAMT (http://eamt2016.tilde.com) which will take place in Riga, Latvia, May 30 - June 1, 2016. In order to facilitate this, the EAMT will waive the winner's registration costs, and will make available a travel bursary of €200.

Lucia Specia

EAMT Secretary