ELITR Non-Native Speech Translation at IWSLT 2020

Dominik Macháček, Jonáš Kratochvíl, Sangeet Sagar, Matúš Žilinec, Ondřej Bojar, Thai-Son Nguyen, Felix Schneider, Philip Williams, Yuekun Yao


Abstract
This paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020. We describe systems for offline ASR, real-time ASR, and our cascaded approach to offline SLT and real-time SLT. We select our primary candidates from a pool of pre-existing systems, develop a new end-to-end general ASR system, and a hybrid ASR trained on non-native speech. The provided small validation set prevents us from carrying out a complex validation, but we submit all the unselected candidates for contrastive evaluation on the test set.
Anthology ID:
2020.iwslt-1.25
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:
200–208
Language:
URL:
https://aclanthology.org/2020.iwslt-1.25
DOI:
10.18653/v1/2020.iwslt-1.25
Bibkey:
Cite (ACL):
Dominik Macháček, Jonáš Kratochvíl, Sangeet Sagar, Matúš Žilinec, Ondřej Bojar, Thai-Son Nguyen, Felix Schneider, Philip Williams, and Yuekun Yao. 2020. ELITR Non-Native Speech Translation at IWSLT 2020. In Proceedings of the 17th International Conference on Spoken Language Translation, pages 200–208, Online. Association for Computational Linguistics.
Cite (Informal):
ELITR Non-Native Speech Translation at IWSLT 2020 (Macháček et al., IWSLT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.iwslt-1.25.pdf
Video:
 http://slideslive.com/38929595
Data
TED-LIUM