TLDR - I used multilingual unsupervised methods (MUSE) to train cross-lingual word embeddings for over 500 languages. I then used these embeddings to extract components of the phrase “wash your hands” from existing target language documents. This resulted in translations of “wash your hands” in 510 languages not currently supported in any public translation platform.
You might not know, but there are currently 7,117 languages spoken in the world . That’s right, languages. Not dialects, but living languages! However, much of the world’s digital media is available in only a couple dozen languages, and translation platforms like Google Translate support around 100 languages. This reality means that there are billions of people around the world that are marginalized due to a lack of timely access to information. The current coronavirus (COVID-19) pandemic has made this painfully clear, and it has stressed the need for immediate, rapid translation of health-related phrases (like “wash your hands” and “social distancing”) into the long tail of languages.
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