EAMT 2022 Best Thesis Award - Danielle Saunders: Domain Adaptation for Neural Machine Translation

EAMT 2022, June 2
Presentation by the 2021 EAMT Best Thesis Award winner: Danielle Saunders
Title: Domain Adaptation for Neural Machine Translation
Paper: aclanthology.o...
About the EAMT Best Thesis Award:
The European Association for Machine Translation (EAMT, 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 annually invites entries for the Anthony C Clarke award: EAMT Best Thesis Award, for a PhD or equivalent thesis on a topic related to machine translation. Each thesis is 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.
The awardee of the 2021 edition of the EAMT Best Thesis is Danielle Saunders’ thesis Domain Adaptation for Neural Machine Translation (University of Cambridge, UK), supervised by Professor Bill Byrne.
Previous year winners can be found at eamt.org/best-...