[Corpora-List] Call for EAMT Best Thesis Award - deadline extension

Lucia Specia lspecia at gmail.com
Mon Mar 26 21:46:41 CEST 2018

*NEW DEADLINE: April 4, 2018 at 23:59 CEST.*

EAMT 2018 Best Thesis Award

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 users, developers, and researchers of this increasingly viable technology.

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

Researchers who


have completed a PhD (or equivalent) thesis on a relevant topic in a

European, Northern African or Middle Eastern institution within calendar year

2017 and


have not previously won another international award for that thesis,

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

The submissions will be judged by a panel of experts who will be specifically appointed as part of the EAMT 2018 programme committee 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 need not 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, localisation, etc.)


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 and translation memory systems


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



The winner will be announced at the same time as accepted papers for the 20th Annual Conference of the European Association for Machine Translation EAMT 2018 (Alicante, Spain, May 28-30, 2018), 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 EAMT 2018. 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 2018 and 2019. Submission

Candidates will submit using EasyChair: https://easychair.org/conferen ces/?conf=eamt2018

(Submission type: Thesis Award), a single PDF file containing, in this order:


a 2-page summary of your thesis in English, containing:


your full contact details,


the name and contact details of your supervisor(s),


a copy of your CV in English (at most one page, plus a complete list of

publications directly related to the thesis)


submission form explaining how your thesis fulfills the selection



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 "Winner of the

2018 European Association for Machine Translation Best Thesis Award" and


acknowledge the right of the EAMT to publicize the granting of the award.

Closing date

The closing date for submissions will be the same as the deadline for research papers at EAMT 2018: April 4th, 2018.

-- Lucia www.dcs.shef.ac.uk/~lucia/

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