Crowe

With the entrance of Covid on to the world stage, employees and companies solved a problem that many had been working on for over a decade, the ability to make remote working a reality. Overnight, millions of people were told to work from home, and infrastructure transitioned to support virtual desktops, and meetings via Video conference became normal. Companies like Zoom saw their value increase in multiples, and the beginning of a new operational model appeared. Of lesser note was the increased adoption of some of the other tools necessary to support a new globalised workforce where many of the traditional boundaries had been removed.

These included translation engines, many of which had been operating on a smaller scale in the background but were now becoming part of everyday business life. As we know, adoption drives development, and we are now starting to see the much-needed greater sophistication necessary to support machine based translation. This is a realm where nuances, context, and ontologies matter. To provide a simple example, if you saw the acronym “HA” in the text, context can become very important, for a family doctor, it might refer to headache, a cardiologist heart attack, and endocrinologist hepatitis A. If you saw the word “body” in the text, for the medical fraternity, it might refer to a person, to the corporate world, a corporate entity, and to an association its membership.