Abstract
In this paper, we describe our submission to the English-German APE shared task at WMT 2019. We utilize and adapt an NMT architecture originally developed for exploiting context information to APE, implement this in our own transformer model and explore joint training of the APE task with a de-noising encoder.- Anthology ID:
- W19-5417
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 145–150
- Language:
- URL:
- https://aclanthology.org/W19-5417
- DOI:
- 10.18653/v1/W19-5417
- Cite (ACL):
- Hongfei Xu, Qiuhui Liu, and Josef van Genabith. 2019. UdS Submission for the WMT 19 Automatic Post-Editing Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 145–150, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- UdS Submission for the WMT 19 Automatic Post-Editing Task (Xu et al., WMT 2019)
- PDF:
- https://preview.aclanthology.org/ingest-2024-clasp/W19-5417.pdf
- Data
- eSCAPE