Kingsoft’s Neural Machine Translation System for WMT19
Xinze Guo, Chang Liu, Xiaolong Li, Yiran Wang, Guoliang Li, Feng Wang, Zhitao Xu, Liuyi Yang, Li Ma, Changliang Li
Abstract
This paper describes the Kingsoft AI Lab’s submission to the WMT2019 news translation shared task. We participated in two language directions: English-Chinese and Chinese-English. For both language directions, we trained several variants of Transformer models using the provided parallel data enlarged with a large quantity of back-translated monolingual data. The best translation result was obtained with ensemble and reranking techniques. According to automatic metrics (BLEU) our Chinese-English system reached the second highest score, and our English-Chinese system reached the second highest score for this subtask.- Anthology ID:
- W19-5317
- 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:
- 196–202
- Language:
- URL:
- https://aclanthology.org/W19-5317
- DOI:
- 10.18653/v1/W19-5317
- Cite (ACL):
- Xinze Guo, Chang Liu, Xiaolong Li, Yiran Wang, Guoliang Li, Feng Wang, Zhitao Xu, Liuyi Yang, Li Ma, and Changliang Li. 2019. Kingsoft’s Neural Machine Translation System for WMT19. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 196–202, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Kingsoft’s Neural Machine Translation System for WMT19 (Guo et al., WMT 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W19-5317.pdf