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MuST-C

MuST-C is a multilingual speech translation corpus comprising at least 385 hours of audio recordings from English TED Talks, aligned at the sentence level with their manual transcriptions and translations.

Data and Resources

Cite this as

Mattia Antonino Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi (2024). Dataset: MuST-C. https://doi.org/10.57702/nhiwpvh5

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.18653/v1/N19-1202
Author Mattia Antonino Di Gangi
More Authors
Roldano Cattoni
Luisa Bentivogli
Matteo Negri
Marco Turchi
Homepage mustc.fbk.eu
Access Rights Creative Commons license, Attribution - Non Commercial - No Derivatives (CC BY NC ND 4.0 International)