Neural language models trained only on modern data can recover historical linguistic structure—this shows that deep patterns of language evolution are encoded in contemporary morphological relationships, potentially enabling historical linguistics without traditional comparative methods.
Researchers trained neural models on modern Bantu language data and discovered they automatically recovered historical word structures that match established Proto-Bantu reconstructions.