English

ELITR Non-Native Speech Translation at IWSLT 2020

Computation and Language 2020-06-08 v1

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.

Keywords

Cite

@article{arxiv.2006.03331,
  title  = {ELITR Non-Native Speech Translation at IWSLT 2020},
  author = {Dominik Macháček and Jonáš Kratochvíl and Sangeet Sagar and Matúš Žilinec and Ondřej Bojar and Thai-Son Nguyen and Felix Schneider and Philip Williams and Yuekun Yao},
  journal= {arXiv preprint arXiv:2006.03331},
  year   = {2020}
}

Comments

IWSLT 2020