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MT models show a troubling bias towards US content, with specialized models proving less robust across diverse locales.
OmniSONAR halves cross-lingual search error on FLORES and reduces error by 15x on BIBLE, proving that truly universal sentence embeddings across thousands of languages and modalities are now within reach.