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 predicts each machine translation's risk in real-time so you can get the scale of machine translation and the quality of human 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 a researcher or developer training or building your own system or custom engine?
ModelFront filters and ranks by error type and severity, and catches scandalously bad translations - no reference translations required. Automated evalation is a game-changer for machine translation researchers and developers.
Try samples in the sandbox.
Use our console or hit our REST API.
We predict translation fails instantly.
Your application can react in real time.
Add your own data.
Set your own risk thresholds.
We also integrate with custom engines like Google AutoML and Microsoft Custom Translator.