Case Study: Microsoft achieves AI translation across 110 languages with Appen

Appen data helps Microsoft promote equitable knowledge

Microsoft faced the challenge of expanding its AI-powered Translator service to include rare and under-resourced languages. Sourcing and accurately annotating large datasets for these languages, which required specific cultural and linguistic expertise, was a significant obstacle. To meet its goals for equitable knowledge access and language preservation, Microsoft partnered with vendor Appen for its AI data solutions.

Appen provided a comprehensive solution by sourcing language data from native speakers and applying expert annotation and transliteration techniques. This collaboration enabled Microsoft Translator to scale its offerings to 110 languages, 108 of which were supported by Appen's work. The result was a significant expansion of accessible, accurate translation services that help preserve endangered languages and promote global inclusivity.

Microsoft