Why Low‑Resource NLP Still Struggles with Annotation
Last Updated: June 7th, 2026
Low-resource NLP struggles with annotation because the vast majority of languages lack sufficient labeled datasets, which are critical for training accurate models. Over 2,144 languages exist in Africa alone, but only 64 are included in major NLP benchmarks. As mentioned in the Scarcity of…
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