Abstract
We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.- Anthology ID:
- W19-5326
- 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:
- 267–274
- Language:
- URL:
- https://aclanthology.org/W19-5326
- DOI:
- 10.18653/v1/W19-5326
- Cite (ACL):
- Patrick Littell, Chi-kiu Lo, Samuel Larkin, and Darlene Stewart. 2019. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 267–274, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation (Littell et al., WMT 2019)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/W19-5326.pdf