ISTIC’s Neural Machine Translation System for IWSLT’2020

Jiaze Wei, Wenbin Liu, Zhenfeng Wu, You Pan, Yanqing He

Abstract
This paper introduces technical details of machine translation system of Institute of Scientific and Technical Information of China (ISTIC) for the 17th International Conference on Spoken Language Translation (IWSLT 2020). ISTIC participated in both translation tasks of the Open Domain Translation track: Japanese-to-Chinese MT task and Chinese-to-Japanese MT task. The paper mainly elaborates on the model framework, data preprocessing methods and decoding strategies adopted in our system. In addition, the system performance on the development set are given under different settings.
Anthology ID:
2020.iwslt-1.19
Volume:
Proceedings of the 17th International Conference on Spoken Language Translation
Month:
July
Year:
2020
Address:
Online
Editors:
Marcello Federico, Alex Waibel, Kevin Knight, Satoshi Nakamura, Hermann Ney, Jan Niehues, Sebastian Stüker, Dekai Wu, Joseph Mariani, Francois Yvon
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Association for Computational Linguistics
Note:
Pages:
158–165
Language:
URL:
https://aclanthology.org/2020.iwslt-1.19
DOI:
10.18653/v1/2020.iwslt-1.19
Bibkey:
Cite (ACL):
Jiaze Wei, Wenbin Liu, Zhenfeng Wu, You Pan, and Yanqing He. 2020. ISTIC’s Neural Machine Translation System for IWSLT’2020. In Proceedings of the 17th International Conference on Spoken Language Translation, pages 158–165, Online. Association for Computational Linguistics.
Cite (Informal):
ISTIC’s Neural Machine Translation System for IWSLT’2020 (Wei et al., IWSLT 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2020.iwslt-1.19.pdf
PDF Search