Yuekun Yao
2020
ELITR Non-Native Speech Translation at IWSLT 2020
Dominik Macháček
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Jonáš Kratochvíl
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Sangeet Sagar
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Matúš Žilinec
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Ondřej Bojar
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Thai-Son Nguyen
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Felix Schneider
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Philip Williams
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Yuekun Yao
Proceedings of the 17th International Conference on Spoken Language Translation
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.
Dynamic Masking for Improved Stability in Online Spoken Language Translation
Yuekun Yao
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Barry Haddow
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
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Co-authors
- Dominik Macháček 1
- Jonáš Kratochvíl 1
- Sangeet Sagar 1
- Matúš Žilinec 1
- Ondřej Bojar 1
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