Over the past few years, Neural Machine Translation (NMT) has worked through many core restraints that hold it back from mainstream research and adoption across the translation space. In 2016, Google’s Neural Machine Translation system (GNMT) promised to bypass issues with computational requirements. Using low-precision arithmetic during inference computation and subdivision of common words, GNMT worked to increase throughput and accuracy for rare word computations. Today, GMNT is a core component of Google Translate.Continue reading
Your website is your business’s portal to the planet, right? Well, that depends. Can visitors access your content in their native language? If not, then you’re not really targeting the world, just one small portion of it.Continue reading
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.Continue reading
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.Continue reading
“This is really a new start of taking our technology and our partner technology and rethinking how software internationalization and localization is performed,” says Adam Asnes, Founder & CEO of Lingoport.
In March, Ken Behan, VP of Sales and Marketing at SYSTRAN joined Adam Asnes, the Founder & CEO of Lingoport, Olivier Libouban, Product Development Head at Lingoport, and Yuka Kurihara, Globalization Consultant, to discuss the undiscovered potential of internationalization and localization they recently unfurled through SYSTRAN and Lingoport’s partnership.Continue reading
One of our Spring webinars featured Amy Ward, Product Marketing Specialist at Progress, Kamen Damyanov, Pre-Sales Solution Engineer at Progress, and Victor Ramirez, Director of Business Solutions at SYSTRAN. If you missed it, the group discussed the importance of technology in delivering superb customer experiences. Furthermore, the trio spoke about SYSTRAN’s collaboration with Sitefinity to introduce an innovative solution that facilitates a stronger global web presence.
The group presented a demo of the innovative CMS.
The Market in Terms of Digital DisruptionContinue reading
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.Continue reading
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.Continue reading
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.Continue reading
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.Continue reading