Only about 6% of the world are native English speakers while 75% don't speak English at all. Clearly English alone isn’t enough when it comes to making evidence accessible to our target audience: the entire world. This is why Cochrane established a translation strategy at the start of 2014, with the aim of increasing capacity and impact in non-English speaking countries. To do this, we rely on the hard work of local translation teams around the world, who translate Cochrane Reviews into their languages. Thanks to them, we have published more than 23,000 translations on our websites across different languages as of the start of 2018.
How do we do translation at Cochrane?
As with other Cochrane work, our translation activities build on Cochrane’s key principles, notably: promoting access, enabling wide participation and building on the enthusiasm of individuals. Our translation work relies on the contribution of local Cochrane groups and individuals who in many cases do not receive funding for translations. We support translation activities in many languages, if there is a group of people willing to invest their time, ensure quality, and collaborate with us. An overview of our projects can be found here.
All teams use one or a combination of the following approaches to translation:
Volunteer translation
Most of our projects work with volunteers, and the project managers often invest their spare time, too. The majority of our volunteer translators have a health related background, while some of them are linguists or translators. Many students volunteer as an opportunity to learn and gain experience.
Professional translation
Professional translation is expensive, and therefore only a few of our projects work with paid professional translators on a regular basis. Languages that use professionals have their translations reviewed by health experts to ensure accuracy.
Machine translation and post-editing
Although we do not publish unedited machine translations, we are exploring statistical and domain-adapted machine translation in combination with post-editing as part of research projects. This , and some languages publish post-edited machine translations. Depending on the language and underlying machine translation engine, this is potentially a way to make translation more efficient and less costly.
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