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    <abstract>This paper presents the methodologies implemented for Spoken Language Translation for the language pairs Hindi-English, Bengali-English and Tamil-English for the Low Resource Multilingual Indic Track of The International Conference on Spoken Language Translation (IWSLT) for 2025. We adopt a cascaded approach and use a fine-tuned Phi-4 multimodal instruct model for Automatic Speech Recognition(ASR) and a fine-tuned NLLB model for Machine Translation(MT).</abstract>
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%0 Conference Proceedings
%T Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track
%A Sarkar, Sankalpa
%A Kashyap, Samriddhi
%A Joglekar, Advait
%A Umesh, Srinivasan
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Anastasopoulos, Antonis
%S Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria (in-person and online)
%@ 979-8-89176-272-5
%F sarkar-etal-2025-effectively
%X This paper presents the methodologies implemented for Spoken Language Translation for the language pairs Hindi-English, Bengali-English and Tamil-English for the Low Resource Multilingual Indic Track of The International Conference on Spoken Language Translation (IWSLT) for 2025. We adopt a cascaded approach and use a fine-tuned Phi-4 multimodal instruct model for Automatic Speech Recognition(ASR) and a fine-tuned NLLB model for Machine Translation(MT).
%R 10.18653/v1/2025.iwslt-1.42
%U https://aclanthology.org/2025.iwslt-1.42/
%U https://doi.org/10.18653/v1/2025.iwslt-1.42
%P 399-404

Markdown (Informal)

[Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track](https://aclanthology.org/2025.iwslt-1.42/) (Sarkar et al., IWSLT 2025)

• Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track (Sarkar et al., IWSLT 2025)

ACL

• Sankalpa Sarkar, Samriddhi Kashyap, Advait Joglekar, and Srinivasan Umesh. 2025. Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track. In Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025), pages 399–404, Vienna, Austria (in-person and online). Association for Computational Linguistics.