With the advent of neural machine translation, translation quality has made a quantum leap in recent years. In fact, translation quality has improved so much that it is now viable for businesses to incorporate machine translation as a major step in their translation pipelines. The big unknown that remains, however, is just how much postprocessing will remain to bring the machine-translation output to the desired quality level prior to delivery.
Enter TCA, LangTec’s machine-learning-based prediction model to address this challenge. Our model analyses the input text and makes reliable predictions on the estimated postprocessing effort to expect. Click here to check out our TCA live demo.