Machine translation is great when it works - it scales.
But human language is difficult for machines. Machine translation fails often and unpredictably. The results can be nonsensical, misleading, offensive or even dangerous.
ModelFront risk prediction technology is the key to hybrid translation, quality evaluation and much more.
Now you can safely auto-approve raw machine translation.
As billions of users join the internet, platforms expand to support hundreds of languages. We love the chaos. Our approaches support all of the top ten thousand language pairs.
It works with any translation API, like those from Google, Microsoft, Yandex (Яндекс), Baidu (百度), IBM, and DeepL, and even with custom-trained models like AutoML.
Our innovative models are trained for domains and formats like news, finance, travel, gaming, commerce, courses, films, apps, titles, reviews, chats, email and more.
There are many ways for you to tap into the linguistic knowledge, innovative research and scalable infrastructure at the core of ModelFront.
ModelFront provides direct access to instant line-level risk predictions from custom-trained models so that you can optimise quality or build features into your own platform.
Do you need to translate content at quality and scale?
ModelFront catches critical errors in machine translation to let you balance machine scale and human quality. Hybrid translation is 10x to 100x faster than human translation.
Are you training or building your own engines?
ModelFront filters and ranks by error type and severity, and catches scandalously bad translations - no reference translations required. Automated evaluation is a game-changer for machine translation researchers and developers.
Hit the REST API or just upload files in the console.
We predict translation fails instantly, so your application can react in real time.
Train on your own data and set your own risk thresholds.
We also integrate with custom engines like Google AutoML and Microsoft Custom Translator.