Return on expertise: Alvarez & Marsal reveal the backstage of eDiscovery success stories with SYSTRAN Pure Neural™ Machine Translation

SYSTRAN’s solution are used every day by various types of companies across many industries to get the most accurate and secure automatic translations on any type of content – from sensitive documents to websites to mobile apps and much more.  We’d like to focus today on how one of our clients – Alvarez & Marsal, a consultancy firm- uses SYSTRAN’s platform to manage eDiscovery projects with the highest efficiency and accuracy.

The processes and tools used in eDiscovery scenarios are, most of the time, quite complex given the large volumes of electronic data produced. Unlike hard-copy evidence, e-documents are a lot more dynamic and contain various metadata that demand the highest translation quality in order to eliminate any claims of spoliation at any time in a litigation case.

Phil Beckett, the firm’s Managing Director, who has recently been named ‘Investigation Digital Forensic Expert of the year’ by Who’s Who Legal is talking to us about how SYSTRAN’s solutions plug into their internal processes to manage their projects end to end.

Phil Beckett – Managing Director at Alvarez & Marsal

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The use of machine translation in eDiscovery

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This article originally appeared on Kirti Vashee’s Blog.

There are some kinds of translation applications where MT just makes sense, and it would be foolish to even attempt these kinds of projects without decent MT technology as a foundation. Usually, this is because these applications have some combination of the following factors:

  • Very large volume of source content that simply could NOT be translated without MT in any useful time frame
  • Rapid turnaround requirement (days, hours or minutes) for the content to have any value to the translation consumers
  • A user tolerance for lower quality translations at least in early stages of information review
  • To enable information and document triage when dealing with large document collections and help to identify highest priority content from a large mass of undifferentiated content. This process also helps to identify the most important and relevant documents to send to higher quality human translation.
  • Translation Cost prohibitions (usually related to volume)

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SYSTRAN at the Digital Forensics and Analysis Summit

Digital SummitOn October 16-17th, SYSTRAN and its partner Relativity will be participating in the Digital Forensics & Analysis Summit as sponsors and exhibitors. The Digital Forensics & Analysis Summit is a two-day forum that will gather international experts from around the world in Abu Dhabi to share best practices on how technology is used in their forensics department to extract evidence that is able to stand up in trial.

Since information governance, forensics and eDiscovery procedures face mounting pressure from the growth of Electronic stored Information, legal standards and rules governing digital investigation requirements have also contributed to the rise in litigation and associated legal costs.

Within this environment, documents written in languages other than English, including data collection, processing and reviewing can pose major challenges, especially when ensuring the mandatory confidentiality of those procedures, as these typically forbid online translation. Organizations need to search by keyword and find relevant documents and emails in the appropriate languages while controlling costs and maximizing productivity. Therefore time-intensive human translation is usually not an option and the need for viable machine translation solutions becomes all the more apparent.

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SYSTRAN Launches Podcast Exploring How Language Impacts Business & Government

If your job depends on understanding what’s being said in more than one language, SYSTRAN’s new podcast holds the answers.

Whether you’re trying to read an e-mail from a colleague, give an answer to a customer, or deliver accurate documentation across the globe, language plays a key role in determining the success of your actions. If you cannot communicate, then the action is useless. The same goes for finding evidence in a huge pile of multilingual data, increasing the value of your user-generate-content, running compliance programs internationally, or protecting a nation as a government organization. Language governs everything we do.

SYSTRAN aims to share the unique stories, stats, and perspective on how language impacts business and our everyday lives in a brand new podcast series, released today.

In the last 50 years, SYSTRAN has been delivering machine translation capabilities to Fortune 500, billion-dollar start-ups, education institutions, government communities and LSPs all over the globe. This has given the company a unique perspective across industries such as banking, finance, manufacturing, legal, internet, security, software, wearable devices and IoT.

Its newest technology, Neural Machine Translation (NMT) is disrupting the language translation industry by giving organizations access to higher quality machine translation than ever before. Unraveling where NMT and language intersect with the speed and security of a business is the aim of their new podcast.

“We’ve had the incredible opportunity to uncover how NMT intersects with big data, global teams, new user experiences and security, and that’s what we want to share with you every month through different Podcast Series,” says Craig Stern, Marketing Manager of the Americas at SYSTRAN.

It’s not always clear where NMT technology can fit into your workflow. In this podcast, SYSTRAN will uncover how companies are using SYSTRAN’s Pure Neural Machine Translation (PNMT) to gain market share and unexpected places where language translation is vital.

The first Podcast series, “The language of bribery, and the challenge of anti-corruption communications: a real-world story” will cover FCPA compliance and one man’s true recount of going to prison because of violating those laws.

The series is available now to listen on the following channels:

For more information, email BeyondLanguage@systrangroup.com.

Managing Compliance Programs in Multiple Languages

Regulatory compliance is expensive, but the cost of compliance related failure is much higher. The top US banks paid out fines amounting to $204 billion in 175 settlements dating back to 2009*. It is challenging for banks and financial institutions to adapt to the complexities of regulations in a global marketplace. Policies need to support the modern pace of transactions and international trade. Therefore, compliance professionals and the tools they use have an increasing need to make sense of communications or data in foreign languages.

Current software platforms address the need to understand, analyze, and review archived communications proficiently in English. However, a critical subset of that content happens in foreign languages that most of the existing platforms do not handle. The key to ensuring compliance of data in foreign languages is being able to perform
real-time translations at scale, either as a stand-alone capability or an integrated function of the review platform. No textual data – no matter its language – is left out of the monitoring or review processes.

In the world of risk management, the focus areas below are becoming increasingly multilingual and require a consistent effort to ensure sustained compliance:

  • Trading communications and conduct
  • BSA/AML Programs
  • Insider leaks, business conduct, and HR issues
  • Corporate social media policy

REAL-TIME MACHINE TRANSLATIONS FOR RISK ASSESSMENT PROCESSES

SYSTRAN’s real-time translation supports multilingual data compliance with class leading performance in data centers and enterprise networks around the globe. The incremental capabilities and gains include:

  • Automated or on-demand machine translation (MT)
    of the messages for review, audit, or discovery processes
  • Identify the foreign languages in messages at volume and scale
  • Store translated files for audit or review cycles
  • Increase productivity and optimize cost simultaneously with MT technology in comparison to acquiring human translation resources
  • Streamline workflows by eliminating deviations to ad-hoc processes just to discover content in other languages
  • Increase workflow efficiency by integrating MT capability into the workflow that is designed for one language

SYSTRAN, a global leader in language translation technology, will showcase its newest translation software, Pure Neural Machine Translation, at FIBA AML compliance conference in Miami, FL, March 6-8.

For more information, contact Craig Stern at craig.stern@systrangroup.com and to set up a meeting, click here.

* source: Keefe, Bruyette & Woods (2015)

About SYSTRAN

SYSTRAN has been helping commercial, defense, and national security organizations capture mission-critical data for the last 49 years. We operate globally with locations in Americas, Europe, and Asia.

As the first software company to introduce Neural Machine Translation technology, SYSTRAN is continuing to lead the innovation in language technologies. SYSTRAN’s brand new Purely Neural Machine Translation (PNMT) products utilize Neural Networks and Deep Learning algorithms to achieve unprecedented translation quality that is near human translation levels.

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Positive Feedback from PNMT Beta Tester

SYSTRAN to Host Private Viewings of Pure Neural Machine Translation Technology at FIBA AML Compliance Conference

 

SYSTRAN to Host Private Viewings of Pure Neural Machine Translation Technology at FIBA AML Compliance Conference

This article was originally published on Newswire SYSTRAN to Host Private Viewings of Pure Neural Machine Translation Technology at FIBA AML Compliance Conference

 

SYSTRAN, a global leader in language translation technology, will showcase its newest translation software, Pure Neural Machine Translation, at FIBA AML compliance conference in Miami, FL, March 6-8.

Harvard partnered with SYSTRAN to develop the next generation of AI-based Language Translation that runs on Neural Networks. They call it Pure Neural Machine Translation (PNMT). SYSTRAN will sponsor FIBA AML to showcase how PNMT is helping companies solve the linguistic challenges related to multinational compliance and AML.

 

“PNMT is giving the banking industry a more powerful tool to maintain compliance, even when working with terabytes of data stored in multiple languages around the world,” says Ken Behan, Vice President of Sales and Marketing of SYSTRAN.

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. For compliance, accuracy in translation is important in being able to flag issues or suspicious transactions.

SYSTRAN’s software provides the ability to perform machine translation on both audio and text in 45+ language pairs.

SYSTRAN’s team is setting private meetings for an exclusive view of the PNMT concept and how it can be utilized by compliance teams. For more information, contact Craig Stern at craig.stern@systrangroup.com and to set up a meeting, click here.

To learn more about SYSTRAN’s machine translation solutions, visit https://demo pnmt.systran.net

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Positive Feedback from PNMT Beta Tester

This article was originally published on Newswire SYSTRAN to Host Private Viewings of Pure Neural Machine Translation Technology at FIBA AML Compliance Conference

SYSTRAN to Hold Private Viewings of Pure Neural Machine Translation Technology for eDiscovery Translation at Legaltech 2017

This article was originally published on PR Newswire SYSTRAN to Hold Private Viewings of Pure Neural Machine Translation Technology for eDiscovery Translation at Legaltech 2017

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 craig.stern@systrangroup.com

To learn more about SYSTRAN’s machine translation solutions for eDiscovery, visit http://www.systransoft.com/translation-products/integrations/cmless-for-relativity.

 

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How Neural Machine Translation Will Change E-Discovery

SYSTRAN for Relativity – More Information

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This article was originally published on PR Newswire SYSTRAN to Hold Private Viewings of Pure Neural Machine Translation Technology for eDiscovery Translation at Legaltech 2017

SYSTRAN’s Continuing Neural MT Evolution

by Kirti Vashee on eMpTy Pages, a blog about translation technology, localization and collaboration

Recently, I had the opportunity and kind invitation to attend the SYSTRAN community day event where many members of their product development, marketing, and management team gathered with major customers and partners.

The objective was to share information about the continuing evolution of their new Pure Neural MT (PNMT) technology,  share detailed PNMT output quality evaluation results, and provide initial customer user experience data with the new technology. Also, naturally such an event creates a more active and intense dialogue between company employees and customers and partners.  This, I think has substantial value for a company that seeks to align product offerings with its customer’s actual needs.

Ongoing Enhancements of the PNMT Product Offering

The event made it clear that SYSTRAN is well down the NMT path, possibly years ahead of other MT vendors, and provided a review of the current status of their rapidly evolving PNMT technology.

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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

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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.

screen-shot-2016-11-07-at-2-02-57-pm

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.

screen-shot-2016-11-07-at-2-02-47-pm

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