=============================
The Anthony C. Clarke Award for
the 2020 EAMT Best Thesis
=============================

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 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 related to machine translation.

Previous year winners can be found at http://www.eamt.org/best_thesis.php.

== 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 2020,
- have not previously won another international award for that thesis, and,
- are members of the EAMT at the time of submission,

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 2021 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 does not need to 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
technologies

== Prize ==

The winner will be announced at the same time as accepted papers for the
EAMT 2021: the 23nd Annual Conference of the European Association for
Machine Translation (venues and dates to be announced), 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 2021. 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 2021 and 2022.

== Submission ==

Candidates will submit using EasyChair:
https://easychair.org/conferences/?conf=eamt2021 (Submission type: Thesis
Award), a single PDF file containing:
- 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)
- 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 "The Anthony C.
Clarke Award for the 2020 EAMT Best Thesis" and
- acknowledge the right of the EAMT to publicize the granting of the award.

For this year Best Thesis Award we are requiring candidates to be an
individual EAMT member at the time of submission. For EAMT memberships,
please visit: http://www.eamt.org/membership.php.

== Closing date ==

The closing date for submissions will be the same as the deadline for EAMT
2021 research papers (to be announced).

-- 
*Carolina Scarton*
EAMT Secretary
Academic Fellow
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
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