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%0 Conference Proceedings
%T Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
%A Läubli, Samuel
%A Amrhein, Chantal
%A Düggelin, Patrick
%A Gonzalez, Beatriz
%A Zwahlen, Alena
%A Volk, Martin
%Y Forcada, Mikel
%Y Way, Andy
%Y Haddow, Barry
%Y Sennrich, Rico
%S Proceedings of Machine Translation Summit XVII: Research Track
%D 2019
%8 August
%I European Association for Machine Translation
%C Dublin, Ireland
%F laubli-etal-2019-post
%U https://aclanthology.org/W19-6626
%P 267-272

Markdown (Informal)

[Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain](https://aclanthology.org/W19-6626) (Läubli et al., MTSummit 2019)

• Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain (Läubli et al., MTSummit 2019)

ACL

• Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, and Martin Volk. 2019. Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. In Proceedings of Machine Translation Summit XVII: Research Track, pages 267–272, Dublin, Ireland. European Association for Machine Translation.