BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages
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Computer Science > Computation and Language
Title: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.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2608.13722 [cs.CL] |
| (or arXiv:2608.13722v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.13722
arXiv-issued DOI via DataCite (pending registration)
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