ELITR Non-Native Speech Translation at IWSLT 2020

Dominik Mach\'a\v{c}ek; Felix Schneider; Jon\'a\v{s} Kratochv\'il; Mat\'u\v{s} \v{Z}ilinec; Ond\v{r}ej Bojar; Philip Williams; Sangeet Sagar; Thai-Son Nguyen; Yuekun Yao

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ELITR Non-Native Speech Translation at IWSLT 2020

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arxiv 2006.03331 v1 pith:34JUYA3J submitted 2020-06-05 cs.CL

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

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Yuekun Yao

This is my paper

classification cs.CL

keywords non-nativespeechcandidateselitriwsltofflinereal-timesystem

verification ladder T0 review T1 audit T2 compute T3 formal

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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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