SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task
Jitao Xu, TuAnh Nguyen, MinhQuang Pham, Josep Crego, Jean Senellart
Abstract
This paper describes Systran’s submissions to WAT 2019 Russian-Japanese News Commentary task. A challenging translation task due to the extremely low resources available and the distance of the language pair. We have used the neural Transformer architecture learned over the provided resources and we carried out synthetic data generation experiments which aim at alleviating the data scarcity problem. Results indicate the suitability of the data augmentation experiments, enabling our systems to rank first according to automatic evaluations.- Anthology ID:
- D19-5225
- Volume:
- Proceedings of the 6th Workshop on Asian Translation
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi, Yusuke Oda, Ondřej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino
- Venue:
- WAT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 189–194
- Language:
- URL:
- https://aclanthology.org/D19-5225
- DOI:
- 10.18653/v1/D19-5225
- Cite (ACL):
- Jitao Xu, TuAnh Nguyen, MinhQuang Pham, Josep Crego, and Jean Senellart. 2019. SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task. In Proceedings of the 6th Workshop on Asian Translation, pages 189–194, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task (Xu et al., WAT 2019)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/D19-5225.pdf