Introducing SYSTRAN Model Studio: Improving Value for Businesses and LSPs

SYSTRAN Model Studio

SYSTRAN, the pioneer of neural machine translation solutions and technology, recently launched SYSTRAN Model Studio to help language experts build powerful and robust domain-specific translation models. By converging SYSTRAN’s world-class neural machine translation technologies with a global network of talented language and translation experts, SYSTRAN Model Studio unlocks higher translation quality and in-domain specialization for niche industries and businesses and allows LSPs to profit further from their data. 

Language experts, grow your business with SYSTRAN!

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The Part Language Plays in Monitoring Activity and Maintaining Global Compliance

The Part Language Plays in Monitoring Activity and Maintaining Global Compliance

Fifty-seven percent of executives list risk and compliance as their two largest barriers to success, and a mere six percent of board members feel their company is adequately prepared to manage risk. In today’s hyper-complex risk landscape, compliance is the single greatest threat to productivity and liquidity.  

Even though noncompliance costs twice as much as building compliance frameworks, most organizations have difficulty integrating compliance into their day-to-day business model.  

It’s not easy. 

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Instant Translation Chat Support Tech Reduces Customer Effort, Lifting CSAT and NPS Scores

An Opinion on Why Organizations Need Multilingual Chat For Their CRM

Yes, ANOTHER article on CSAT and Net Promoter scoring as the preeminent models for gauging customer satisfaction and loyalty. Despite the enormous body of knowledge on these topics, customer experience leaders who are in tune with their audiences must continuously ask: What might my overall customer satisfaction measurement models be missing?

We would suggest that it’s something called Customer Effort Scoring.

CSAT, Customer Effort Score, Net Promoter Scores
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Endless Possibilities with OpenNMT

Endless Possibilities with OpenNMT

SYSTRAN has been in the machine translation space since 1968. We’ve launched numerous closed-source solutions, iterated countless projects, and put forward a significant amount of R&D into the statistical machine translation, deep learning speech recognition, and (of course) neural machine translation. But, in 2017, we decided to do something a little unprecedented.

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SYSTRAN’s Role in Preventing Cross-Border Corruption

The FCPA or the Foreign Corrupt Practices Act of 1977 made it illegal for U.S. citizens to bribe foreign government officials in exchange for new business or business favors.

Since then, this legislation has become a cornerstone for business compliance programs. Organizations around the country engage in compliance training to ensure that their employees aren’t found to be acting unethically or illegally when procuring new business in foreign countries.

Legislations for business compliance programs
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Transform Your Customer Care Team Into Language Ninjas

As part of our webinar series, one of our latest broadcast discussed and demonstrated the unique and innovative Language I/O + SYSTRAN solution, created in collaboration with our partner company Language I/O.

Hosted by J. Obakhan from SYSTRAN and Heather Shoemaker, CEO of Language I/O, the webinar discussed the power of integrating machine language translation technology into the customer care workflow.

Transform Your Customer Care Team Into Language Ninjas
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Webinar Highlights: Get More From SPNS9

Our webinar “Get More From SPNS9” on May 15th, 2020 was a huge success. The webinar demonstrated 6 new exciting upgrades to the SYSTRAN Pure Neural Server 9.6’s, further scaling its technological capabilities. Thank you to those who joined us.

In this post, we have compiled the highlights from the presentation and answers to the questions we receive after.

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Specialized AI-Based Translation Technology 101

The minds behind SYSTRAN sit down for an interview regarding the complexities and the capacities of specialized neural machine translation engines.

Participants: Peter Zoldan, Senior Data Engineer -Software Engineer Linguistic Program, Svetlana Zyrianova, Linguistic Program, Petra Bayrami, Jr. Software Engineer – Linguistic Program, Natalia Segal, R&D Engineer.

How much data is required to create a specialized engine?

The more bilingual data, the better the quality. For broad domains such as news, millions of bilingual sentences will be required. However, if the domain is narrow, such as technical support documents for certain products, then even a small set of sentences of 50,000, noticeably improves the quality. 

The amount of data required will depend on how broad or narrow the domain is you are specializing the engine into.

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What’s So Special About Domain Specialization?

Student learning a second language

Language is messy. Ask any person who has ever had to learn a second language and they will tell you that the most difficult aspect isn’t learning all the rules, but understanding the exceptions to the rules — the real-world application of the language. 

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Blackout Redaction is Making Your Job Harder than it Needs to Be

How blackout redaction is making your job harder

When it comes to protecting classified data, blackout redaction has been in use for at least a century. While it is not the only acceptable form of data sanitization, it is historically the oldest and most commonly utilized by eDiscovery firms. This is despite the fact there are more modern and easy-to-use alternatives that save time and reduce errors. The two main data sanitization alternatives that meet legal requirements include anonymization and pseudonymization.

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