@inproceedings{machacek-etal-2020-elitr,
title = "{ELITR} Non-Native Speech Translation at {IWSLT} 2020",
author = "Mach{\'a}{\v{c}}ek, Dominik and
Kratochv{\'\i}l, Jon{\'a}{\v{s}} and
Sagar, Sangeet and
{\v{Z}}ilinec, Mat{\'u}{\v{s}} and
Bojar, Ond{\v{r}}ej and
Nguyen, Thai-Son and
Schneider, Felix and
Williams, Philip and
Yao, Yuekun",
booktitle = "Proceedings of the 17th International Conference on Spoken Language Translation",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.iwslt-1.25",
doi = "10.18653/v1/2020.iwslt-1.25",
pages = "200--208",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T ELITR Non-Native Speech Translation at IWSLT 2020
%A Macháček, Dominik
%A Kratochvíl, Jonáš
%A Sagar, Sangeet
%A Žilinec, Matúš
%A Bojar, Ondřej
%A Nguyen, Thai-Son
%A Schneider, Felix
%A Williams, Philip
%A Yao, Yuekun
%S Proceedings of the 17th International Conference on Spoken Language Translation
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F machacek-etal-2020-elitr
%X 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.
%R 10.18653/v1/2020.iwslt-1.25
%U https://aclanthology.org/2020.iwslt-1.25
%U https://doi.org/10.18653/v1/2020.iwslt-1.25
%P 200-208
Markdown (Informal)
[ELITR Non-Native Speech Translation at IWSLT 2020](https://aclanthology.org/2020.iwslt-1.25) (Macháček et al., IWSLT 2020)
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.