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The Anthony C. Clarke Award for the 2020 EAMT Best Thesis
Final Call for Applications
Deadline: June 30, 2021, 23:59 CEST
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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, based on the EAMT 2020 program 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-assistedtranslation: 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 on the 5th of September 2021 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 2022. 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's 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 *

Submission deadline: June 30, 2021, 23:59 CEST.
Award notification: September 5, 2021.

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

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