Research submissions on neural machine translations ballooned from 91 in the first half of 2017 to 196 in the first half of 2018, although by July 2018 submissions were slowing down. Continue reading
Systran
SYSTRAN, a leader in multilingual AI, has won the Technology Award at AI Paris 2018, along with their partner PERTIMM, an expert in Business Semantics research. Continue reading
SlatorCon London 2018 was a spectacular display of the breadth and depth of the language industry, uniting a diverse mix of industry stakeholders from end buyers, vendor CEOs, analysts, and investment bankers involved in industry M&A. Here’s what you missed if you weren’t there. Continue reading
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Some familiar names helped pushed May 2018 to the top of the charts in terms of neural machine translation research. Meanwhile, the hottest research trends appear to be the race to better quality and translating low-resource, non-Latin languages. Continue reading
In this webinar, our speakers from CLAAS, SYSTRAN and ONTRAM will explain the differences between TM and MT within ONTRAM Translation Management System. Continue reading
Systran’s Global CTO Jean Senellart discussed the direction the open source race for neural machine translation is taking and what it means, what’s its bottom-line, and what to expect in the future. Continue reading
More than 80 language industry leaders, 6 presentations, a lively panel debate and extended networking opportunities; SlatorCon London 2018 again assembled some of the most important names in the industry and touched on what matters in language services and tech. Continue reading
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018. Continue reading
Company know-how could be leaked mainly because of the use of free online translation tools and outsourcing of translation projects. SYSTRAN provides secured and tailored machine translation. Continue reading
As interest in neural machine translation reaches new heights — with even Mark Zuckerberg posting about it on his personal Facebook page — academia continues to churn out NMT papers at a record clip; 2017 output already on par with whole of 2016. Continue reading
Korea pits professional translators against assortment of neural machine translation engines. Contest shows that — unlike in Go — in terms of translation accuracy, humans remain firmly in the lead. Continue reading
Harvard and Systran publish a paper on their open-source neural machine translation model, OpenNMT. Research toolkit is a complete NMT implementation. Creators hope it will become the Moses of NMT. Continue reading
“Google, we promise we are not taking you on,” says the Harvard NLP group as a research project draws Systran’s attention and is co-developed into open-source NMT. Systran expects competitors to quickly build products based on the technology. Continue reading
Tokyo-based mini-conglomerate Fidel Technologies acquires India’s LinguaNext; rebrands to LinguaSol. It is Fidel’s second acquisition in 2016 following the purchase of a majority stake in a Japanese patent translation firm. Continue reading
Machine translation vendor opens demo version of its neural machine translation engine to the public; platform built on Torch. As with other NMT systems, model tends to improve fluency, but also produces new kinds of errors unseen in SMT. Continue reading
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