New study tests machine learning on detection of borrowed words in world languages

Researchers have investigated the ability of machine learning algorithms to identify lexical borrowings using word lists from a single language. Results show that current machine learning methods alone are insufficient for borrowing detection, confirming that additional data and expert knowledge are needed to tackle one of historical linguistics' most pressing challenges.

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