IIIT-BGP IWSLT 2026 Systems for Low-resource ST

Kaustuk Pratap Singh; Dipanshu .; Vedant Singh; Kumar Rishu

IIIT-BGP IWSLT 2026 Systems for Low-resource ST

Kaustuk Pratap Singh, Dipanshu ., Vedant Singh, Kumar Rishu

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Abstract

We present low-resource Bhojpuri-Hindi speech translation systems for the IWSLT 2026 shared task, covering both end-to-end and cascaded settings. Our end-to-end model connects a Bhojpuri-finetuned Wav2Vec2 encoder to a pretrained NLLB-200 decoder via a lightweight interconnection adapter that combines learnable layer aggregation, CNN-based temporal compression, and Transformer refinement, with optional LoRA-based decoder adaptation. For our cascaded system, we finetune Whisper for Bhojpuri ASR and NLLB-200 for Hindi MT, and further apply QE Fusion with COMET-Kiwi to improve translation selection from beam candidates.

Anthology ID:: 2026.iwslt-1.31
Volume:: Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)
Month:: July
Year:: 2026
Address:: San Diego, USA (in-person and online)
Editors:: Elizabeth Salesky, Antonios Anastasopoulos, Matteo Negri, Marcello Federico
Venues:: IWSLT | WS
SIG:: SIGSLT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 272–283
Language:
URL:: https://aclanthology.org/2026.iwslt-1.31/
DOI:
Bibkey:
Cite (ACL):: Kaustuk Pratap Singh, Dipanshu ., Vedant Singh, and Kumar Rishu. 2026. IIIT-BGP IWSLT 2026 Systems for Low-resource ST. In Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026), pages 272–283, San Diego, USA (in-person and online). Association for Computational Linguistics.
Cite (Informal):: IIIT-BGP IWSLT 2026 Systems for Low-resource ST (Singh et al., IWSLT 2026)
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PDF:: https://aclanthology.org/2026.iwslt-1.31.pdf

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@inproceedings{singh-etal-2026-iiit,
    title = "{IIIT}-{BGP} {IWSLT} 2026 Systems for Low-resource {ST}",
    author = "Singh, Kaustuk Pratap  and
      ., Dipanshu  and
      Singh, Vedant  and
      Rishu, Kumar",
    editor = "Salesky, Elizabeth  and
      Anastasopoulos, Antonios  and
      Negri, Matteo  and
      Federico, Marcello",
    booktitle = "Proceedings of the 23rd International Conference on Spoken Language Translation ({IWSLT} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, USA (in-person and online)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.iwslt-1.31/",
    pages = "272--283",
    ISBN = "979-8-89176-411-8",
    abstract = "We present low-resource Bhojpuri-Hindi speech translation systems for the IWSLT 2026 shared task, covering both end-to-end and cascaded settings. Our end-to-end model connects a Bhojpuri-finetuned Wav2Vec2 encoder to a pretrained NLLB-200 decoder via a lightweight interconnection adapter that combines learnable layer aggregation, CNN-based temporal compression, and Transformer refinement, with optional LoRA-based decoder adaptation. For our cascaded system, we finetune Whisper for Bhojpuri ASR and NLLB-200 for Hindi MT, and further apply QE Fusion with COMET-Kiwi to improve translation selection from beam candidates."
}

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    <abstract>We present low-resource Bhojpuri-Hindi speech translation systems for the IWSLT 2026 shared task, covering both end-to-end and cascaded settings. Our end-to-end model connects a Bhojpuri-finetuned Wav2Vec2 encoder to a pretrained NLLB-200 decoder via a lightweight interconnection adapter that combines learnable layer aggregation, CNN-based temporal compression, and Transformer refinement, with optional LoRA-based decoder adaptation. For our cascaded system, we finetune Whisper for Bhojpuri ASR and NLLB-200 for Hindi MT, and further apply QE Fusion with COMET-Kiwi to improve translation selection from beam candidates.</abstract>
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%0 Conference Proceedings
%T IIIT-BGP IWSLT 2026 Systems for Low-resource ST
%A Singh, Kaustuk Pratap
%A ., Dipanshu
%A Singh, Vedant
%A Rishu, Kumar
%Y Salesky, Elizabeth
%Y Anastasopoulos, Antonios
%Y Negri, Matteo
%Y Federico, Marcello
%S Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, USA (in-person and online)
%@ 979-8-89176-411-8
%F singh-etal-2026-iiit
%X We present low-resource Bhojpuri-Hindi speech translation systems for the IWSLT 2026 shared task, covering both end-to-end and cascaded settings. Our end-to-end model connects a Bhojpuri-finetuned Wav2Vec2 encoder to a pretrained NLLB-200 decoder via a lightweight interconnection adapter that combines learnable layer aggregation, CNN-based temporal compression, and Transformer refinement, with optional LoRA-based decoder adaptation. For our cascaded system, we finetune Whisper for Bhojpuri ASR and NLLB-200 for Hindi MT, and further apply QE Fusion with COMET-Kiwi to improve translation selection from beam candidates.
%U https://aclanthology.org/2026.iwslt-1.31/
%P 272-283

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Markdown (Informal)

[IIIT-BGP IWSLT 2026 Systems for Low-resource ST](https://aclanthology.org/2026.iwslt-1.31/) (Singh et al., IWSLT 2026)

IIIT-BGP IWSLT 2026 Systems for Low-resource ST (Singh et al., IWSLT 2026)

ACL

Kaustuk Pratap Singh, Dipanshu ., Vedant Singh, and Kumar Rishu. 2026. IIIT-BGP IWSLT 2026 Systems for Low-resource ST. In Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026), pages 272–283, San Diego, USA (in-person and online). Association for Computational Linguistics.