Multilingual Connections

By the time language shows up as a problem in your workplace, it's usually been a problem for a while.

A safety incident where training was English-only. A harassment complaint where the policy was never truly understood. High turnover in one department that nobody connected back to communication gaps.

Language is almost always part of that story.

More than 67 million people in the US speak a language other than English at home—and many of them are part of your workforce. The question isn't whether language access matters. It's whether your HR systems are actually built for the people inside them.

We put together a guide for HR professionals on what language access really looks like in practice — from employee handbook translation to eLearning localization, interpretation services, and the hidden costs of "free" workarounds.

https://multilingualconnections.com/blog/language-access-in-the-workplace-a-guide-for-human-resources-professionals/

"My name is jailed. Eye studies the Arctic choose. High study safari Jews."

That's what Dragon NaturallySpeaking produced when our CEO, Dr. Jill Kushner Bishop, tried to dictate her dissertation on Sephardic Jews back in grad school.

Speech recognition has come a long way since then, but only because of the humans behind the data. Multilingual audio annotation is what makes AI actually understand how people speak across accents, dialects, code-switching, and languages.

What goes into training a speech model that works for global users?
https://multilingualconnections.com/blog/safari-jews-how-multilingual-audio-annotation-trains-ai-models/