Abstract
This paper briefly describes Matesub, the subtitling tool Translated used to participate in the Subtitling shared task at IWSLT 2023. Matesub is a professional web-based tool that combines state-of-the-art AI with a WYSIWYG editor. The automatic generation of subtitles in Matesub is based on a cascade architecture, composed of ASR, text segmenter and MT neural models, which allows covering any pair from about 70 languages and their variants.- Anthology ID:
- 2023.iwslt-1.45
- Volume:
- Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada (in-person and online)
- Editors:
- Elizabeth Salesky, Marcello Federico, Marine Carpuat
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 461–464
- Language:
- URL:
- https://aclanthology.org/2023.iwslt-1.45
- DOI:
- 10.18653/v1/2023.iwslt-1.45
- Cite (ACL):
- Simone Perone. 2023. Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task. In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 461–464, Toronto, Canada (in-person and online). Association for Computational Linguistics.
- Cite (Informal):
- Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task (Perone, IWSLT 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.iwslt-1.45.pdf