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arxiv: 2411.05088 · v1 · pith:BD6A4TGT · submitted 2024-11-07 · cs.CL

Findings of the IWSLT 2024 Evaluation Campaign

Ibrahim Said Ahmad , Antonios Anastasopoulos , Ond\v{r}ej Bojar , Claudia Borg , Marine Carpuat , Roldano Cattoni , Mauro Cettolo , William Chen
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Qianqian Dong Marcello Federico Barry Haddow D\'avid Javorsk\'y Mateusz Krubi\'nski Tsz Kin Lam Xutai Ma Prashant Mathur Evgeny Matusov Chandresh Maurya John McCrae Kenton Murray Satoshi Nakamura Matteo Negri Jan Niehues Xing Niu Atul Kr. Ojha John Ortega Sara Papi Peter Pol\'ak Adam Posp\'i\v{s}il Pavel Pecina Elizabeth Salesky Nivedita Sethiya Balaram Sarkar Jiatong Shi Claytone Sikasote Matthias Sperber Sebastian St\"uker Katsuhito Sudoh Brian Thompson Marco Turchi Alex Waibel Shinji Watanabe Patrick Wilken Petr Zem\'anek Rodolfo Zevallos
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classification cs.CL
keywords translationsharedtasksiwsltlanguagespokenacademiaacross
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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 18 teams whose submissions are documented in 26 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.

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    BlasBench supplies an Irish-aware normalizer and scoring harness that enables reproducible ASR comparisons and exposes a 33-43 point generalization gap for fine-tuned models versus 7-10 points for massively multilingual ones.