BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages

Abstract:This paper describes the University of Florida Gators submission to the WMT26 Low-Resource Indic Language Translation shared task. We adapt the retrieval-augmented many-shot translation pipeline from our AmericasNLP 2026 system to translate between English and eleven North-Eastern Indian languages in both directions. At inference time, BM25 retrieves the most similar parallel examples from a language-specific training bank, and Gemini 2.5 Flash translates the input conditioned on these examples. No model fine-tuning is involved. Training banks combine official WMT26 data with publicly available corpora such as Samanantar and prior WMT shared task releases. A grid search over retrieval count r and development exemplar count d across all 22 language-direction pairs selects the best configuration for each submission.

Computation and Language (cs.CL)

arXiv:2608.13722 [cs.CL]

(or arXiv:2608.13722v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2608.13722 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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