A volunteer network of interpreters wants to make refugees’ languages more accessible. Will AI help?

They may be Tigrinya speakers fleeing the authoritarian Eritrean government's indefinite military service policy. Or Rohingya people escaping ethnic violence in Myanmar. But refugees navigating resettlement often face a shared hurdle: poor machine translations and a short supply of interpreters knowledgeable in their less-serviced languages.

Tarjimly, a Google-backed nonprofit described as "Uber for translators," aims to help asylum seekers clear that hurdle. Through a new artificial intelligence partnership, Tarjimly trains outside large language models while allowing its volunteers to respond more urgently to needs for translators. It's a feedback loop where humans teach the nuances of each language to the machines by sharing data from one-on-one calls and correcting automated translations.

And it's this uniquely human realm of language that Tarjimly co-founder Atif...