Neural Machine Translation.
Technology and innovation combined with
a deeper collaboration from human interaction.
The last mile in machine translation.
The last mile
in machine translation.
Machine translation has come a long way over the past 70+ years.
Today’s state-of-the-art Neural Machine Translation (NMT) has created a paradigm shift. This radically different approach to the challenge of language translation uses deep neural networks and artificial intelligence to train models for different language combinations and content types. As a result, MT is now applicable to many scenarios which were not previously viable.
Language Weaver is rooted in the combination of language and AI. We have assembled a world-leading team of MT experts to help us stay on top of the latest advances, build and improve upon these advances, and turn them into powerful real-world solutions.
Best-in-class technology
Building on our extensive expertise
Our proprietary, technology is best-in-class and enables quick, secure and cost-effective translation of multilingual content at scale.
Supported by a team of in-house experts, our solutions are customizable to your particular needs, and can integrate seamlessly into your workflows.
Flexible deployment options allow you to choose the solution that best suits your organization — whether in the cloud, on-premises, or our unique hybrid Edge-Cloud combination.
Contact us today for more information on how Language Weaver translation solutions can benefit you.
The pace of research and development in the field of Neural Machine Translation is moving faster than ever before. Solutions providers must stay up to date with the latest technological breakthroughs in order to offer the most effective solutions to their customers.
Our expert team of scientists keep their finger on the pulse of AI research to discover new ways to improve Language Weaver.
We document these findings on our blog — The Neural MT Weekly. Each week, we cover a hot topic such as data cleaning, unsupervised learning, or constrained decoding, and summarize the latest findings.