Mihai Vlad, VP Machine Learning Solutions, SDL, Samad Echihabi, VP R&D, Machine Translation, SDL
SDL has been on the forefront of transforming cutting edge technology into powerful tools, as proven by being the first company to be able to productize the use of Machine Learning for Machine Translation (MT).
As Artificial Intelligence (AI) continues to disrupt our generation, SDL is ahead in this field of building AI applications through its innovations and patents in Natural Language Processing (NLP) for MT. Using Neural Networks have clearly revolutionized the way we approach Machine Translation, and this paradigm shift brought with it a lot of hype that even experts are caught up in.
In this video, we will take a hard honest look at where Neural Machine Translation (NMT) is today:
* NMT development approaches (open source vs. proprietary)
* Examine enterprise readiness in terms of quality, performance, costs,
and deployment customization
* An easy-to-understand overview of how Neural Nets work