Neural Machine Translation is everywhere (and not just on this blog). Translators want to know how it will affect their livelihood, and internal localization managers want to know how they can make it work for their translation strategy. Whether you're looking to assess the business applications of neural machine […]

Machine Translation has historically been a dirty pair of words in localization. Experienced language professionals fear their own work, complete with nuanced diction and hyper sensitive geographical considerations, will be replaced by the cold, lifeless, robotic output of an algorithm. And considering recent approaches in […]

The proliferation of Artificial Intelligence and Machine Learning tools have professionals everywhere nervy about the future utility of their skill set. And when you take a peek at some of the exciting advances in these fields, it’s hard not to ask yourself “will I be replaced by a robot?”

Though machine translation has been around for decades, the most you’ll read about it is the perceived proximity to the mythical “Babel Fish” --an instantaneous personal translation device-- itself ready to replace each and every human translator. The part that gets left out is machine translation's relationship with human […]

Much of the Internet is in English, and many American web developers rarely think beyond languages like French or Spanish when it comes to internationalization. From a development perspective, such languages function more or less like English, and so the general structure of the webpages tends to assume a layout based on […]

It’s not an everyday occurrence that translators and technology professionals come together and discuss the state of the language industry, but that’s exactly what happened last month in Santa Clara, CA. The event, The Future of Language Work: Enterprise, Technology, and Translation Professional Perspectives, was hosted by […]

Around 100 professionals from the language and technology industries came together in Santa Clara, CA last month to discuss the future of language work. The event, The Future of Language Work: Enterprise, Technology, and Translation Professional Perspectives, was hosted by translation startup, Lilt, and featured two panelist […]

In a recent case study with Zendesk, they talked to us about using a combination of human and machine translation to translate their large database of support content.

We take translator feedback about our app very seriously. Which is why when we started looking at how to improve our editor, we combed through all of your suggestions and requests from the past year. We were looking to solve some big pain points that many of you pointed out as hindrances to your productivity. After much hard […]

Many of us who have had the displeasure of post-editing a translation created by a machine would agree that the process is slow, tedious and out-of-style. However, there are always two sides of the story. So, we decided to ask our Twitter followers on their opinion of the post-editing process. The results? 47% of translators […]