NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task
Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita
Abstract
This paper presents the NICT’s participation in the WMT19 unsupervised news translation task. We participated in the unsupervised translation direction: German-Czech. Our primary submission to the task is the result of a simple combination of our unsupervised neural and statistical machine translation systems. Our system is ranked first for the German-to-Czech translation task, using only the data provided by the organizers (“constraint’”), according to both BLEU-cased and human evaluation. We also performed contrastive experiments with other language pairs, namely, English-Gujarati and English-Kazakh, to better assess the effectiveness of unsupervised machine translation in for distant language pairs and in truly low-resource conditions.- Anthology ID:
- W19-5330
- 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:
- 294–301
- Language:
- URL:
- https://aclanthology.org/W19-5330
- DOI:
- 10.18653/v1/W19-5330
- Cite (ACL):
- Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama, and Eiichiro Sumita. 2019. NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 294–301, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task (Marie et al., WMT 2019)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/W19-5330.pdf