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Thiomi is a research and engineering effort focused on closing the gap between major African languages and the NLP infrastructure that exists for English. We build:

  • Datasets — community-collected text and speech corpora for languages that aren't well represented in public scraped data
  • Models — morphological analyzers, ASR systems, and translation models trained on those corpora, with the architectures and recipes that work best for each language family
  • Methods — open recipes for cross-lingual transfer, zero-shot morphological discovery, and other techniques that let small target datasets do useful work