@SYSTRAN Neural Server pushes the translation to a higher level of quality. Users can now add custom terminology to be used in their translation tasks. Discover this unique feature in our recent blog post : https://t.co/Ofg5j9Ze3q
Marian 1.7.0 released - now with built-in SentencePiece model training.
Say goodbye to preprocessing!
And here's a Marian/SentencePiece/SacreBLEU tutorial (thanks to @taku910 and @mjpost for their great tools):
https://t.co/osG1neBWLn
*Press Release* @HelloIntento has evaluated six domain-adaptive Neural Machine Translation systems for English-to-German translation (Medical domain) and published the report https://t.co/jUoeejcopr
Google Cloud has recently announced that they want to make it easier for data scientists to share models. Kubeflow pipelines and AI Hub are designed to help them do just that!
Read more > https://t.co/hFcEWPYrXE
#Google#GoogleCloud#Data#Scientists#DataScientists#AI
SYSTRAN's Pure Neural®Server boosts your #Translation capabilities with #AI-powered technology. Our newly released engines are bringing huge improvement in performance and quality. Watch this video to learn more: https://t.co/d40ok2NnjR
Working with an #NMT engine means translations with higher contextual accuracy and relevance. Learn how @Google utilised this, with impressive results. https://t.co/OyGZmiE89l
Check out this great list of free tools for translators: time management, security, project management and lots more. https://t.co/NugUM1AXa7. By @Katie24Ward.