Discover OpenKiwi: an open-source framework for Machine Translation that allows the MT community to implement our award-winning Quality Estimation systems.

There’s one reason most customer service managers won’t consider automating translation: quality. Discover how Unbabel is challenging that assumption.

If you believe the hype coming out of certain tech companies’ PR departments, you’ll hear all sorts about how recent advances in “neural” mean that machine translation is “nearly indistinguishable” from professional quality. But of course, you’ve actually used those services and know that’s absolute nonsense. Because machine translation engines are trained on simplistic and …

So said João Graça, Unbabel’s co-founder and CTO, to me the other day as we were having coffee. Truth is, machines don’t always get it right and we all know how embarrassing a bad translation can be. But how do we know when an automatic machine translation is bad? Is it possible to know where …

Translation is about finding the equivalent meaning to a sentence in a different language but more often than not you don’t have the exact equivalent words.

Understand with Unbabel is a series where we dive deep into the topics and challenges faced as we accelerate towards a world without language barriers.

Quality and speed might be perceived as contradictory choices, and scaling both is an immense technological challenge, but it’s key to our success.

We have a huge vision for Unbabel — to provide human-quality translations at the scale of machine translation. But how do we know we’re doing a good job?  For us, quality is a blend of having a good initial text to work from, feeding it through our domain-adapted machine translation, and then intelligently distributing these …

  In a $38 billion-a-year market for translation and localization services, the largest player is a military contractor that makes $730 million a year. The rest of the Top 10 make between $80 and $430 million a year. It’s a massively fragmented market, with a long tail of players who all operate very similar business …

Many big companies like Google, Microsoft, Yahoo, Yandex, eBay and Amazon create and train general purpose Machine Translation (MT) systems, which use billions upon billions of datapoints (like the entire World Wide Web) in order to help make sense of online content in another language. If you’re a keen observer of the MT world, you …