Author

Marco Spruit

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Preprint Jul 2026

Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages

Evaluating the feasibility of translation-based fine-tuning across six NLP tasks demonstrates that translation-based fine-tuning offers a scalable, resource-efficient, and empirically validated path for extending NLP to low-resource languages while advancing linguistic inclusivity and sustainability in artificial intelligence.

H. Muizelaar, Giulia Rivetti, Marco Spruit et al. · 0 citations