Language Industry (Artificial) Intelligence — Slator Answers
Machine translation (MT) trumps human translation when it comes to real-time and dynamic content at large scale, and SDL’s new report highlights the five most common use cases driving enterprise-wide adoption of MT.
In the global enterprise, content submitted for machine translation is often highly sensitive. SDL's engineers and linguists have teamed up to develop neural machine translation that produces high-quality output and can be deployed on-premise or in a Private Cloud with minimal support.
What can secure machine translation do for a USD 10 billion a year technology giant? SDL’s MT solutions delivered exceptional security, reduced costs and consistently accurate translation.
To maintain the rich features of its translation productivity suit and accommodate the expectations of its user base for an intuitive interface: that was the challenge SDL successfully overcame with the launch of SDL Trados Studio 2017.
With upLIFT and AdaptiveMT, SDL Trados Studio features two productivity boosters that have the potential to change the way linguists work. Blending concordance, terminology, and AutoSuggest with machine learning, SDL blazes the trail in translation productivity.
New Hybrid Edition Offers Online and Offline Access to Industry’s Most Powerful Translation Solution
SDL to launch SLATE, an automated translation platform built on SDL's Language Cloud Platform that combines SDL Machine Translation with SDL's in-house translators.
Removes Language Barriers by Enabling Brands to Apply Neural Machine Translation (NMT) to Customer Experience, Analytics, eDiscovery, Internal Communications and More
The addition of Adaptable Language Pairs to SDL Machine Translation enables brands to tune their own language pairs to any project, department or industry.
SDL today previews SDL Language Cloud, the first end-to-end intelligent translation solution powered by Hai, the SDL Linguistic AITM technology.
Advanced Security Capabilities for Regulated Industries with New Connectors Including SDL’s Neural Machine Translation Offering
Relativity Connector Enables Translation of Legal Documents Across 70 Language
SDL (LSE: SDL), a leader in global content management, translation and digital experience, today announced that its next-generation SDL Neural Machine Translation (NMT) 2.0 has mastered Russian to English translation, one of the toughest linguistic Artificial Intelligence (AI) problems to date.
For Corporates, translation quality is four times more important than cost, but difficulties often impede them from delivering quality at scale. New research shows that stronger connections between teams and technology is key.
Slator Weekly: Join over 15,500 subscribers and get the latest language industry intelligence every Friday
Tool Box: Join 10,000 subscribers for your monthly linguist technology update.
Your information will not be shared with third parties. No Spam.
This will close in 0 seconds