Sankalpa Sarkar

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2025

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Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track
Sankalpa Sarkar | Samriddhi Kashyap | Advait Joglekar | Srinivasan Umesh
Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)

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).
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