1 year ago

Language I/O leverages https://thenewstack.io/category/machine-learning/ to process more than 150 languages — including, it turns out, technology jargon. What’s unique about the company is that instead of offering a neural machine translation engine solution that has to be trained, it leverages existing neural networks from Google, Facebook, and https://aws.amazon.com/?utm_content=inline-mentionto choose the best translations.

CEO https://www.linkedin.com/in/heathermorganshoemaker/, an engineer, founded the company in 2011 after building integrations with https://www.oracle.com/index.html?utm_content=inline-mentionto leverage machine translation engines. She realized the multilingual customer support space was underserved, and built out a team to support creating customer relationship management (CRM) integrations with machine translation engines, Bartolome said.

To build a new language requires creating a machine translation engine with a parallel textual source and target language.