Moses-support Digest, Vol 185, Issue 7

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Today's Topics:

1. EAMT 2022: Support for individuals from low-income countries
and war zones (Carol Scarton)


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Message: 1
Date: Thu, 28 Apr 2022 16:30:50 +0100
From: Carol Scarton <carol.scarton@gmail.com>
To: wmt-tasks@googlegroups.com, mt-list@eamt.org,
moses-support@mit.edu
Subject: [Moses-support] EAMT 2022: Support for individuals from
low-income countries and war zones
Message-ID:
<CACDJ-d1h9UKWkRonSwfE73rfcxXhfs+tAaUWEzuxbf38CxRj3g@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

************************************************
EAMT 2022: Support for participants from low-income countries and war zones
************************************************

== Call for Participation ==

The European Association for Machine Translation (EAMT) is an organisation
that serves the growing community of people interested in MT and
translation tools, including translators, users, developers, and
researchers of this increasingly viable technology.

As part of its commitment to promote research, development and awareness
about translation technologies, the EAMT opens a call for a small number of
bursaries to support EAMT 2022 attendees from areas affected by war and
low-income countries. The 23rd Annual Conference of the European
Association for Machine Translation (EAMT 2022) conference will be held in
Ghent, Belgium, from June 1st to June 3rd.

== Purpose of the Call ==

This call is dedicated to support EAMT 2022 attendees that do not have
fundings to attend the conference, from areas affected by war or low-income
countries in Europe, Middle East or Africa.

The EAMT particularly encourages applications from early career researchers.

All applications will be screened by the EAMT President (Dr Helena Moniz)
and the EAMT Secretary (Dr Carolina Scarton) and possibly a few appointed
Executive Committee members if necessary.

== Application information ==

* Eligibility requirements

In order to qualify for this call, the individual must be a student or an
employee of an institution located in areas affected by war or in
low-income countries in Europe, Middle East or Africa, that would not be
able to attend the conference without this support. Students and
early-career researchers/academics will have priority.

* Selection criteria

- The selection will be made based on the information submitted to the
provided Google Forms (link below).
- One of the fields in the form is a "motivation letter", where you should
describe your motivation for attending the EAMT 2022 conference and explain
why you do not have other funds to sponsor your attendance.
- You should also submit a CV, highlighting your years of experience in the
MT area.

== Bursaries ==

EAMT anticipates funding several applications. Selected participants will
be announced on the 5th of May 2022 and will receive complimentary
membership in the EAMT for 2022 and 2023, free registration at the EAMT
2022 conference and paid accommodation in Ghent.

== Contact for enquiries ==

Carolina Scarton
EAMT Secretary
e-mail: c.scarton@sheffield.ac.uk

== Applications ==

Candidates should submit their applications via a Google Form:
https://forms.gle/oviiJmE56PCJ6wmv9

== Important Dates ==

Circulation of the Call: April 28, 2022
Submission deadline for applications: May 3rd, 2022, 23:59 CEST
Notifications: May 5th, 2022

== Additional provisions ==

- Only complete applications will be reviewed.
- All information submitted with applications will be regarded as
confidential and will only be used in the context of this call.
- You may be asked to share the accommodation room with other awardees.
However, we will commit to respect any requirements / concerns that you
inform us (e.g. religion, gender, etc).

== No obligation to award the bursaries ==

The EAMT shall be under no obligation to fund the applications pursuant to
this call for participation. EAMT shall not be liable for any compensation
with respect to candidates whose applications have not been approved. Nor
shall it be liable in the event of it deciding not to award the bursaries.

--
*Carolina Scarton*
Lecturer in Natural Language Processing
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
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