Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk
- Anthology ID:
- W19-6626
- Volume:
- Proceedings of Machine Translation Summit XVII: Research Track
- Month:
- August
- Year:
- 2019
- Address:
- Dublin, Ireland
- Editors:
- Mikel Forcada, Andy Way, Barry Haddow, Rico Sennrich
- Venue:
- MTSummit
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 267–272
- Language:
- URL:
- https://aclanthology.org/W19-6626
- DOI:
- Cite (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.
- Cite (Informal):
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/W19-6626.pdf