SYSTRAN, a global leader in language translation technology, will showcase its newest translation software, called Pure Neural Machine Translation (PNMT), at Legaltech in New York this month.
As the demand for multi-lingual litigation continues to increase, law firms need a way to translate eDiscovery data quickly, reliably and cost-effectively. PNMT is the perfect solution to this challenge.
“PNMT offers an incredible opportunity for legal firms to perform multi-lingual eDiscovery more efficiently,” says Ken Behan, Vice President of Sales and Marketing of SYSTRAN. “Having the ability to automatically translate terabytes of data and get reliable results is invaluable for law firms, especially when timelines and resources are tight.”
The PNMT engine is revolutionary in that it processes an entire sentence or paragraph in the context of the overall document topic, instead of translating segment by segment. This creates a far more accurate output than ever before seen with machine translation, especially for Asian languages.
In fact, early tests show that PNMT translated documents are of the same or even higher quality than human-translated content. Test subjects could not correctly identify which translated samples were done by machine translation versus a human. The quality is that good.
SYSTRAN’s software provides legal organizations the ability to perform eDiscovery translation on both audio and text in real-time in 45+ language pairs. The PNMT software can be used as a connector to eDiscovery software, such as Relativity, or on its own.
SYSTRAN’s team is setting private meetings for an exclusive view of the PNMT concept and how it can be utilized by legal teams to boost productivity and cut translation costs during eDiscovery. To set up a meeting or schedule a demo during Legaltech, contact Craig Stern at [email protected]
To learn more about SYSTRAN’s machine translation solutions for eDiscovery, visit https://www.systransoft.com/translation-products/integrations/cmless-for-relativity.
How Neural Machine Translation Will Change E-Discovery
SYSTRAN for Relativity – More Information