Abstract
This paper describes the DFKI-NMT submission to the WMT19 News translation task. We participated in both English-to-German and German-to-English directions. We trained Transformer models and adopted various techniques for effectively training our models, including data selection, back-translation and in-domain fine-tuning. We give a detailed analysis of the performance of our system.- Anthology ID:
- W19-5350
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 440–444
- Language:
- URL:
- https://aclanthology.org/W19-5350
- DOI:
- 10.18653/v1/W19-5350
- Cite (ACL):
- Jingyi Zhang and Josef van Genabith. 2019. DFKI-NMT Submission to the WMT19 News Translation Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 440–444, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- DFKI-NMT Submission to the WMT19 News Translation Task (Zhang & van Genabith, WMT 2019)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/W19-5350.pdf