Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18504
Title: Findings of the IWSLT 2025 Evaluation Campaign
Authors: Maurya, Chandresh Kumar
Sethiya, Nivedita
Issue Date: 2025
Publisher: Association for Computational Linguistics (ACL)
Citation: Abdulmumin, I., Agostinelli, V., Alum�e, T., Anastasopoulos, A., Bentivogli, L., Bojar, O., Borg, C., Bougares, F., Cattoni, R., Cettolo, M., Chen, L., Chen, W., Dabre, R., Est�ve, Y., Federico, M., Fishel, M., Gaido, M., Javorsk�, D., Kasztelnik, M., � Z�fle, M. (2025). Findings of the IWSLT 2025 Evaluation Campaign. IWSLT 2025 - 22nd International Conference on Spoken Language Translation, Proceedings of the Conference, 412�481. https://doi.org/10.18653/v1/2025.iwslt-1.44
Abstract: This paper presents the outcomes of the shared tasks conducted at the 22nd International Workshop on Spoken Language Translation (IWSLT). The workshop addressed seven critical challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, model compression, speech-to-speech translation, dialect and low-resource speech translation, and Indic languages. The shared tasks garnered significant participation, with 32 teams submitting their runs. The field�s growing importance is reflected in the increasing diversity of shared task organizers and contributors to this overview paper, representing a balanced mix of industrial and academic institutions. This broad participation demonstrates the rising prominence of spoken language translation in both research and practical applications. � 2025 Association for Computational Linguistics
URI: https://dx.doi.org/10.18653/v1/2025.iwslt-1.44
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18504
ISBN: 979-889176272-5
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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