ELITR Non-Native Speech Translation at IWSLT 2020
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424476" target="_blank" >RIV/00216208:11320/20:10424476 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.iwslt-1.25.pdf" target="_blank" >https://www.aclweb.org/anthology/2020.iwslt-1.25.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2020.iwslt-1.25" target="_blank" >10.18653/v1/2020.iwslt-1.25</a>
Alternative languages
Result language
angličtina
Original language name
ELITR Non-Native Speech Translation at IWSLT 2020
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th International Conference on Spoken Language Translation
ISBN
978-1-952148-07-1
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
200-208
Publisher name
Association for Computational Linguistics
Place of publication
Online
Event location
Online
Event date
Jul 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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