Machine translation is great when it works, but it fails often and unpredictably.

The greatest applications of machine learning - from Search to YouTube recommendations to self-driving cars - are built around the idea that they're not always perfect.

Ex-Google-Translate engineer and now co-founder of ModelFront Adam Bittlingmayer is building the quality prediction for machine translation and shares with us his work