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https://www.um.edu.mt/library/oar/handle/123456789/148480| Title: | Findings of the IWSLT 2024 evaluation campaign |
| Authors: | Ahmad, Ibrahim Said Anastasopoulos, Antonios Bojar, Ondřej Borg, Claudia Carpuat, Marine Cattoni, Roldano Cettolo, Mauro Chen, William Dong, Qianqian Federico, Marcello Haddow, Barry Javorský, Dávid Krubiński, Mateusz Lam, Tsz Kin Ma, Xutai Mathur, Prashant Matusov, Evgeny Maurya, Chandresh McCrae, John Murray, Kenton Nakamura, Satoshi Negri, Matteo Niehues, Jan Niu, Xing Ojha, Atul Kr. Ortega, John Papi, Sara Polák, Peter Pospíšil, Adam Pecina, Pavel Salesky, Elizabeth Sethiya, Nivedita Sarkar, Balaram Shi, Jiatong Sikasote, Claytone Sperber, Matthias Stüker, Sebastian Sudoh, Katsuhito Thompson, Brian Waibel, Alex Watanabe, Shinji Wilken, Patrick Zemánek, Petr Zevallos, Rodolfo |
| Keywords: | Translating and interpreting Machine translating Speech processing systems industry Speech processing systems Automatic speech recognition |
| Issue Date: | 2024 |
| Publisher: | Association for Computational Linguistics |
| Citation: | Said Ahmad, I., Anastasopoulos, A., Bojar, O., Borg, C., Carpuat, M., Cattoni, R., Cettolo, M., …, Zevallos, R. (2024). Findings of the IWSLT 2024 evaluation campaign. 21st International Conference on Spoken Language Translation (IWSLT 2024), Bangkok. 01-11. |
| Abstract: | This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech translation, dialect and low-resource speech translation, and Indic languages. The shared tasks attracted 17 teams whose submissions are documented in 27 system papers. 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/123456789/148480 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2024.iwslt-1.1.findings.pdf | 802 kB | Adobe PDF | View/Open |
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