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Orthographic inconsistencies in low-resource languages like Central Kurdish can cripple S2TT performance, but systematic text standardization offers a surprisingly effective remedy.
Northern Kurdish finally gets its own benchmark dataset with FLEURS-Kobani, enabling standardized evaluation of ASR and speech translation models for this under-resourced language.
