Digital platforms and the post-language economy

This article was originally published on ITProPortal Digital platforms and the post-language economy by Denis Gachot.

The world can get even smaller, and new technology is making that happen.

When we imagine international companies, we think large, publicly traded conglomerates that have substantial resources and funds to facilitate operations on opposite ends of the globe. But that is changing.

Already the Internet has shrunk the world so that small companies now rely on software engineers in Pakistan and marketing agencies contract with graphic designers in the Philippines. But the world can get even smaller, and new technology is making that happen.

Today, the new frontier is language. Individuals have a plethora of platforms that allow them to access consumers all over the globe and work with other companies in faraway places – if only they could speak the same language. In an ironic twist, language has turned from something that first facilitated human cooperation and growth, to something that currently impedes our ability to work together.

Technology may finally be ready to abolish that barrier forever. It is somewhat remarkable that in 2017, more than 20 years after widespread use of the Internet began, we still rely almost exclusively on humans to translate language in commercial formats. But translation bears all of the earmarks of those functions that artificial intelligence ought to be capable of replicating, and a technology called Neural Machine Translation (NMT) does just that.

Contextual translation ability

By leveraging its contextual translation ability alongside its deep learning functions, NMT has achieved historic results in the journey to a post-language economy. In a side-by-side comparison with human translators, in a technical domain translation for English-Korean, SYSTRAN’s NMT translations were preferred 41 per cent of the time. That success is achieved by advancing language translation beyond rule-based translation methods.

Before NMT, machine translation models – known as rules-based or ‘phrase-based’ – were only able to reference five to seven words at a time when determining meaning. Each language pair has its own linguistic challenges, but it made the translation for certain languages, like Japanese, more challenging because you need to know the entire sentence to put all of the words into context.

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Let’s say a colleague forwards you an urgent email, and it includes this sentence: パリに出張の時に私はCEOに会いました.

With a phrase-based machine translation, you would receive this output: ‘I met Paris in the CEO trip doing business.’ With NMT, you would get: ‘I met the CEO when I was in Paris on a business trip.’

In Japanese, main verbs are placed at the end, so you need to reference the end of a sentence to make sense of the phrases within it. NMT processes the entire sentence (and soon paragraph) from end-to-end without intermediate stages.

That is why context is so important. The effect of machine translation being able to better understand context results in a huge jump in BLEU score (the industry measurement for accuracy). SYSTRAN’s Pure Neural Machine Translation (PNMT) program has seen increases in all 61 language pairs and where we see the biggest increase is in Asian languages. For some languages, we saw a jump of 200 per cent in BLEU score.

Gisting

With machine translation, we have a metric called ‘Gisting,’ as in ‘you get the gist.’ In addition to this metric, we test whether or not a user can solve their problem with the translated output. Were they able to search a FAQ and customise a piece of software with the answer? Were they able to search a digital database of products and images and find what they were looking to purchase? If yes, then they got the gist.

“Gisting requires extensive post-editing. NMT has moved us into fluency. What fluency allows is the ability to read and understand so that you no longer need to post edit,” says Ken Behan, V.P. of Sales and Marketing. NMT is allowing us to focus on ‘meaning’ and ‘fluency’ scores. With fluency, we ask if the translation sounds like a native speaker wrote it. With fluency and meaning, we can ask:

Were they able to understand a review and make an educated decision? Were they able to read the manual specs and assemble a piece of heavy machinery? Were they able to find a product, read the description and purchase what they were expecting?

Refer to the English translations above. With the first sentence, did you get the gist? Yes! You could infer someone went to Paris on something business related.

With the second, did you understand the meaning and the fluency? Yes, you can understand what kind of trip it was and what happened.

New solutions

Neural Machine Translation will further advance traditional MT solutions and create new ones in communication, customer support, e-Learning, eDiscovery, compliance and user-generated content to name a few. Also, early-adopting linguists using NMT are already increasing their productivity.

Similar to the human brain, the neural machine translator learns through a process in which the machine receives a series of stimuli over several weeks. This development, based on complex algorithms at the forefront of Deep Learning, enables the PNMT engine to learn, generalise the rules of a language from a given translated text, and produce a translation close to human levels of competency.

You can think of NMT as part of your international go-to-market strategy. In theory, the Internet erased geographical barriers and allowed players of all sizes from all places to compete in what we often call a ‘global economy,’ But we’re not all global competitors because not all of us can communicate in the 26 languages that have 50 million or more speakers. NMT removes language barriers, enabling new and existing players to be global communicators, and thus real global competitors. We’re living in the post-internet economy, and we’re stepping into the post-language economy.

The difference between previous language technologies and what NMT can do today is remarkable, and business leaders should take note. Just ask yourself who you would want to do business with: the guy that says, “I met Paris in the CEO trip doing business,” or the one that says, “I met the CEO when I was in Paris on a business trip.”

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

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Positive Feedback from PNMT Beta Tester

This article was originally published on ITProPortal Digital platforms and the post-language economy by Denis Gachot.

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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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

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

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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 Demos Two New Integrations for Relativity at Ing3nious’ SoCal E-Discovery & Information Governance Retreat

This article was originally published on PR Newswire SYSTRAN Demos Two New Integrations for Relativity at Ing3nious’ SoCal E-Discovery & Information Governance Retreat

screen-shot-2016-11-16-at-1-54-07-pmSYSTRAN, a global leader in language translation technology, demonstrated two new integrations for SYSTRAN’s offering of Relativity at Ing3nious’ SoCal E-discovery & Information Governance Retreat, November 13-14.
SYSTRAN demonstrated two new integrations, aDiscovery and Anonymizer, for SYSTRAN’s offering of Relativity at the event. The aDiscovery feature will aid in audio discovery by transcribing audio files, detecting the source language and then translating the content. Anonymizer applies rigorous anonymization techniques to the full text and metadata of electronic documents within Relativity.

20161114_171147Anonymization can be used to mask identifying details in documents such as names, addresses, identification numbers, places, amounts and so forth when reading the anonymized documents; however, anonymized documents retain sufficient information for most relevancy reviews. Users also have the ability to “pseudononymize” selected names replacing pre-identified names with chosen pseudonyms on a mass basis to provide another option for privacy protection.

By 2020, Gartner predicts that 80 percent of litigation will involve multiple languages. The features are meant to assist with multi-language or cross-border e-discovery, giving legal teams a cost-effective method to translate files efficiently.

“These new integrations are going to change the way modern day legal teams handle multi-language files during e-discovery by maximizing productivity through automatic translation and Natural Language Processing (NLP),” says Ken Behan, SYSTRAN Vice President of Sales & Marketing. “These methods are far more efficient than manual translation and will save firms time and money during the e-discovery process.”

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In addition to the new integrations, SYSTRAN’s offering for Relativity automatically detects languages of files, translates documents that have multiple languages, and bulk translates using the Mass Action feature in Relativity. Organizations using Relativity are also able to support their billing process by accurately reflecting the workload completed.

To learn more about SYSTRAN’s offering of Relativity visit http://www.systransoft.com/translation-products/integrations/cmless-for-relativity.

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 for Relativity – More Information

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This article was originally published on PR Newswire  SYSTRAN Demos Two New Integrations for Relativity at Ing3nious’ SoCal E-Discovery & Information Governance Retreat

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

SYSTRAN Demos Two New Integrations for Relativity at Relativity Fest 2016

This article was originally published on PR Newswire SYSTRAN Demos Two New Integrations for Relativity at Relativity Fest 2016

20161010_105927SYSTRAN, a global leader in language translation technology, will demo two new integrations for SYSTRAN’s offering of Relativity at Relativity Fest 2016 this Sunday in Chicago.

SYSTRAN is attending Relativity Fest as a silver sponsor. The company plans to demo two new integrations, aDiscovery and Anonymizer, for SYSTRAN’s offering of Relativity at the event. The aDiscovery feature will aid in audio discovery by transcribing audio files, detecting the source language and then translating the content. Anonymizer applies rigorous anonymization techniques to the full text and meta data of electronic documents within Relativity.

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State of the Union: The Next Generation of NLP

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In 1968, during the height of the Cold War, our nation’s intelligence organizations and military were working to decipher and understand Russian communication threads coming through their offices. Answering the call, SYSTRAN was born. We provided the vital translation software that our nation’s security forces required in order to do their job effectively.

Back then, we were providing our services through the IBM mainframe. Thankfully technology got smaller and more advanced, allowing SYSTRAN to move into several different areas. With the advent of the PC, we developed a product that people can use on the desktop, translating text into 130+ language combinations, enabling real-time multilingual communication across the globe.

Then recently, just in the last decade, we experienced further advancements through the smartphone. Speech recognition software along with the smartphone provided a plethora of breakthroughs. For example, SYSTRAN developed S-Translator, the official translation solution on the Samsung Galaxy S and Note series. Now if you’re in a taxi in Korea you can use your phone to tell someone where to go without speaking a word of the native language.

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