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https://www.um.edu.mt/library/oar/handle/123456789/114765| Title: | Findings of the iWSLT 2023 evaluation campaign |
| Authors: | Agarwal, Milind Agarwal, Sweta Anastasopoulos, Antonios Bentivogli, Luisa Bojar, Ondřej Borg, Claudia Carpuat, Marine Cattoni, Roldano Cettolo, Mauro Chen, Mingda Chen, William Choukri, Khalid Chronopoulou, Alexandra Currey, Anna Declerck, Thierry Dong, Qianqian Duh, Kevin Estève, Yannick Federico, Marcello |
| Keywords: | Speech processing systems Translating and interpreting -- Technological innovations Speech-to-text systems Computational linguistics |
| Issue Date: | 2023 |
| Publisher: | Association for Computational Linguistics |
| Citation: | Agarwal, M., Agrawal, S., Anastasopoulos, A., Bentivogli, L., Bojar, O., Borg, C.,…Zevallos, R. (2023). Findings Of the IWSLT 2023 Evaluation Campaign. 20th International Conference on Spoken Language Translation (IWSLT 2023), Toronto. 01-61. |
| Abstract: | This paper reports on the shared tasks organized by the 20th IWSLT Conference. The shared tasks address 9 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech translation, multilingual, dialect and low-resource speech translation, and formality control. The shared tasks attracted a total of 38 submissions by 31 teams. The growing interest towards spoken language translation is also witnessed by the constantly increasing number of shared task organizers and contributors to the overview paper, almost evenly distributed across industry and academia. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/114765 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023.iwslt-1.1v2.pdf | 970.94 kB | Adobe PDF | View/Open |
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