A software-based process that translates content from one language to another.
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 a content strategist should care about machine translation (MT) is simply a matter of numbers. There is far too much content being created and far too few translators or money to translate it all—or even a small fraction of it—into the dozens of languages that are required to address global markets.
Translation automation tools such as MT promise to increase the volume and accelerate the pace of words rendered into other languages. Content strategists who understand this dynamic will be 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 translation managers 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.
"Trends in Machine Translation," by Donald A. DePalma, Common Sense Advisory, Inc. Link: http://www.commonsenseadvisory.com/AbstractView.aspx?ArticleID=2154
"Introduction to Machine Translation," by Mike Dillinger and Jay Marciano, Association for Machine Translation in the Americas, Link: http://amta2012.amtaweb.org/AMTA2012Files/papers/tut-dil-01.pdf
"Open Source Statistical Machine Translation," by Philipp Koehn, Association for Machine Translation in the Americas, Link: http://amta2012.amtaweb.org/AMTA2012Files/papers/tut-koe-01.pdf