Abstract
This paper describes the University of Maryland’s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on newstest2017. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on newstest2018.- Anthology ID:
- W18-6431
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 535–540
- Language:
- URL:
- https://aclanthology.org/W18-6431
- DOI:
- 10.18653/v1/W18-6431
- Cite (ACL):
- Weijia Xu and Marine Carpuat. 2018. The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 535–540, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 (Xu & Carpuat, WMT 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/W18-6431.pdf