OPPO NMT System for IWSLT 2019

Xiaopu Li, Zhengshan Xue, Jie Hao


Abstract
This paper illustrates the OPPO's submission for IWSLT2019 text translation task Our system is based on Transformer architecture. Besides, we also study the effect of model ensembling. On the devsets of IWSLT 2019, the BLEU of our system reaches 19.94.
Anthology ID:
2019.iwslt-1.2
Volume:
Proceedings of the 16th International Conference on Spoken Language Translation
Month:
November 2-3
Year:
2019
Address:
Hong Kong
Editors:
Jan Niehues, Rolando Cattoni, Sebastian Stüker, Matteo Negri, Marco Turchi, Thanh-Le Ha, Elizabeth Salesky, Ramon Sanabria, Loic Barrault, Lucia Specia, Marcello Federico
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Association for Computational Linguistics
Note:
Pages:
Language:
URL:
https://aclanthology.org/2019.iwslt-1.2
DOI:
Bibkey:
Cite (ACL):
Xiaopu Li, Zhengshan Xue, and Jie Hao. 2019. OPPO NMT System for IWSLT 2019. In Proceedings of the 16th International Conference on Spoken Language Translation, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
OPPO NMT System for IWSLT 2019 (Li et al., IWSLT 2019)
Copy Citation:
PDF:
https://aclanthology.org/2019.iwslt-1.2.pdf