This is one of the 52 terms in The Language of Localization published by XML Press in 2017 and the contributor for this term is Don DePalma.

Why is it important?

Machine translation accelerates the process and reduces the cost, of translating content and increases the availability of translated content. Linguistic quality and accuracy levels vary, depending on how well the software is tuned and whether the content is post-edited by humans.

Why does a business professional need to know this?

Business professionals should care about machine translation (MT) based on the numbers. Far too much content is being created and far too few translators or money exist to translate it all – or even a small fraction of it – into the dozens of languages that are required to address major global markets.

Translation automation tools, such as MT, promise to increase the volume and accelerate the pace of words rendered into other languages. Understanding this dynamic puts business professionals in a better position to take advantage of what’s happening with this core technology.

Translation strategies that rely on human output alone have already been overwhelmed by the explosion in content and the imperative to rapidly enter new markets. If business professionals are going to meet the needs of their many users, they will have to evaluate how to integrate MT into their global content strategies, regardless of the type or size of their organization.