EAMT best thesis award

The Anthony C. Clarke Award for the 2019 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 users, developers, and researchers of this increasingly viable technology.

The EAMT invites entries for eighth 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[1] or Middle Eastern[2] institution within calendar year 2019 and
  • have not previously won another international award for that thesis,

Panel

The submissions will be judged by a panel of experts who will be specifically appointed as part of the EAMT 2020 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 technologies

Prize

The winner will be announced at the same time as accepted papers for the EAMT 2020: the 22nd Annual Conference of the European Association for Machine Translation (Lisbon, Portugal, dates to be confirmed), 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 2020. 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 2020 and 2021.

Submission

Candidates will submit using EasyChair: https://easychair.org/conferences/?conf=eamt2020 (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)
  • 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 2019 EAMT Best Thesis” 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 EAMT 2020 research papers: TBA.

[1] Algeria, Egypt, Libya, Morocco and Tunisia.
[2] Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Oman, Palestine, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen.

EAMT best thesis award

2018 EAMT Best Thesis Awardee

Seven PhD theses defended in 2018 were received as candidates for the 2018 edition of the Anthony C Clarke Award – EAMT Best Thesis Award, and all seven were eligible. A panel of 29 reviewers was recruited to examine and score the theses, considering how challenging the problem tackled in each thesis was, how relevant the results are for machine translation as a field, and what the strength of its impact in terms of scientific publications was. Two EAMT Executive Committee members (Mikel L. Forcada and Lucia Specia) have also reviewed the theses and provided an additional review.

The year of 2018 was again a very good year for PhD theses in machine translation. The scores of all theses were very high, although one thesis was scored considerably higher than the others. A panel of two EAMT Executive Committee members (Mikel L. Forcada and Carolina Scarton) verified that all reviews were consistent and that we had a clear winner.

The panel has then decided to grant the 2018 edition of the EAMT Best Thesis Award to Longyue Wang’s thesis “Discourse-Aware Neural Machine Translation” (Dublin City University – now at Tencent AI Lab), supervised by Andy Way and Qun Liu (now at Huawei Noah’s Ark Lab).

The awardee will receive a prize of €500, together with a suitably-inscribed certificate. In addition, Dr. Wang has been invited to present a summary of his thesis at the 17th Machine Translation Summit (MT Summit 2019: https://www.mtsummit2019.com) which will take place in Dublin (Ireland), August 19-23, 2019. In order to facilitate this, the EAMT will waive the winner’s registration costs, and will make available a travel bursary of €200.

Mikel L. Forcada

EAMT President

Carolina Scarton

EAMT Secretary

EAMT best thesis award

The Anthony C Clarke Award: the 2018 EAMT 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 the Anthony C Clarke award: the 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[1] or Middle Eastern[2] institution within calendar year 2018 and
  • have not previously won another international award for that thesis,

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 technologies

Prize

The winner will be announced at the same time as accepted papers for the MT Summit XVII: the 17th Machine Translation Summit (Dublin, Ireland, Aug 19–23, 2019), 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 MT Summit XVII. 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 2019 and 2020.

Submission

Candidates will submit using EasyChair: https://easychair.org/conferences/?conf=eamt2019 (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 criteria
  • 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 MT Summit XVII: April 12th, 2019.

[1] Algeria, Egypt, Libya, Morocco and Tunisia.
[2] Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Oman, Palestine, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen.