How Neural Machine Translation Will Change E-Discovery

When a global enterprise gets sued, it’s vital to know who is involved and how. But finding out who to blame isn’t always simple.

Global law firms are tasked with sifting through thousands, sometimes millions of emails, chats, and legal documentation during eDiscovery. These documents and audio recordings could be in many different languages and stored around the world. Sometimes that data is stored in countries with strong data protection regulations, such as Brazil and parts of the EU, so it cannot under any circumstances leave the country.

So, how can an office in the U.S. review hundreds of days of correspondence in multiple languages?

If the firm hires translators, they’ll need dozens with a strong knowledge of everything from slang to deep subject matter expertise of the topic in discovery. If instead they decide to go with an e-discovery translation solution, they’ll still need help during the review process, especially for data in Asian languages – there are several ways to interpret one word, for which there may be five slang alternatives. In either case, the team must spend a lot of time and money to get reliable and accurate results.

Until now, that is.

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SYSTRAN to Showcase Neural Machine Translation Technology at InnoXcell

This article was originally published on PR Newswire SYSTRAN to Showcase Neural Machine Translation Technology at InnoXcell

20161206_125742SYSTRAN, a global leader in language translation technology, showcased its newest translation software, called Pure Neural Machine Translation (PNMT), at the InnoXcell Annual Symposium focused on China-U.S. regulatory compliance and eDiscovery in New York City this month.
As an exhibitor and sponsor of the event, SYSTRAN’s team provided attendees an exclusive view of the PNMT concept and how it can be utilized by the legal and regulatory compliance industries to boost productivity and cut translation costs.

“Neural Machine Translation ushers in a new era for Language Productivity Tools, making MT a genuine alternative to human translation,” says Ken Behan, Vice President of Sales and Marketing of SYSTRAN. “InnoXcell attendees will have a great opportunity to increase linguistic productivity in the GRC and eDiscovery world with this technology.”20161206_102527

Unlike statistical (SMT) or rule-based (RMT) translation engines, NMT engines process an entire sentence, paragraph or document taking into context the topic being discussed. The NMT engine models the whole process of machine translation through a unique artificial neural network, working similar to a human brain. The entire chain is processed end-to-end with no intermediate stages between the source sentence and the target, providing for more accurate translations.

 

As the legal industry increasingly works with multilingual content, such as emails from global companies, firms need a way to translate content quickly, reliably and cost-effectively. SYSTRAN’s software driven by machine translation provides organizations the ability to automatically translate audio and text in more than 130 different language pairs. The software can also be leveraged to perform real-time translation on intranets and other tools. At any given moment, users can translate entire sites, blogs or document to find and understand foreign-language info in real-time.

20161206_163917The InnoXcell conference took place in New York, NY on December 6. Attendees were able to learn more about the PNMT concept, how it works and what it will allow companies to do. To set up a meeting or schedule a demo, contact Craig Stern at craig.stern@systrangroup.com.

About SYSTRAN

For over 48 years, SYSTRAN transformed the way global organizations such as Apple, Adobe, Daimler, HSBC, and Symantec meet the challenges of communicating globally via advanced machine-based translation technology. With the ability to facilitate communication in over 130 languages and 20 vertical domains, SYSTRAN enables instantaneous and automatic multilingual translations for texts, emails, chat, web pages, mobile apps, documents, user-generated content and more.

For more on SYSTRAN visit www.systrangroup.com

Related Links

SYSTRAN News & Events

SYSTRAN is far along the NMT path

Discover the first issue of Purely Neural Machine Translation insight

SYSTRAN announces the launch of its “Purely Neural MT” engine, a revolution for the machine translation market

 

This article was originally published on PR Newswire SYSTRAN to Showcase Neural Machine Translation Technology at InnoXcell

SYSTRAN to Present on Neural Machine Translation at Association for Machine Translation in America Conference

This article was originally published on PR Newswire SYSTRAN to Present on Neural Machine Translation at Association for Machine Translation in America Conference

SYSTRAN, a global leader in language translation technology, presented at the Association for Machine Translation in America (AMTA) conference in Austin this month. The talk, titled "Building Renewable Language Assets in Government Domains," included insights from the company's latest efforts in Neural Machine Translation.

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The presentation, given by Beth Flaherty, SYSTRAN's Director of Government Solutions, and Joshua Johanson, a computational linguist with SYSTRAN, discussed the company's work in specific domains and languages of interest to the government.

"SYSTRAN welcomes this opportunity to share our accomplishments to date with the government community," says Flaherty. "We will also reveal some of our plans to integrate neural network technology into our offerings to further serve the public sector with faster, smarter machine translation."

As demand for multilingual content continues to increase, public-sector organizations struggle to produce content efficiently, reliably and cost-effectively. SYSTRAN's software driven by machine translation provides organizations the ability to automatically translate audio and text in more than 130 different language pairs. The software can also be leveraged to perform real-time translation on intranets and other tools. At any given moment, users can translate entire sites, blogs or document to find and understand foreign language information in real-time.

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The AMTA conference took place in Austin, TX from October 28 through November 1. SYSTRAN's presentation was scheduled for October 31 from 5 – 5:30 p.m. on the Government track. The company also exhibited at the Technology showcase on October 30 from 12:30 – 3:30 p.m.

To learn more about SYSTRAN and its machine translation technology, visit http://www.systrangroup.com/.

This article was originally published on PR Newswire SYSTRAN to Present on Neural Machine Translation at Association for Machine Translation in America Conference

We are SYSTRAN and we love languages…

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We are SYSTRAN. We love languages, lots of languages. We are a human-sized company but we have linguists for almost all of the 140 language pairs we support.  That’s a big number, but don’t be misled- some of us are fluent in many languages. Nevertheless, we love languages and we don’t believe in the one-fits-all technology regarding language processing.

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