Language service provider RWS tells investors at capital markets event about how it is integrating Moravia and informs about the results of a pilot project to deploy MT post-editing in production in its patent translation division. Continue reading
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Stay on top of how technology shapes the language services industries
As language data becomes increasingly prominent in the age of neural networks and machine learning, a number of use cases highlight the need for high quality training data, such as South Korea’s KT GiGA Genie. Continue reading
An interpreter accused multi-billion listed company of passing off human interpretation as the output of its AI translation engine on social media. The post sparked off a media frenzy questioning company’s marketing spin. Continue reading
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Neural machine translation is fluent to the point that Google’s ranking algorithm may rate machine translated content as legitimate content created by humans, hinting at complex implications for search engine optimization and digital marketing. Continue reading
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions. Continue reading
Researchers analyzed the impact of introducing a Spanish machine translation system to eBay’s platform and found direct and positive causal links between machine translation adoption and economic activities. Continue reading
Google launches a new service called AutoML Translation in beta that lets users upload translated language pairs to train machine translation engines. Continue reading
Neural machine translation increasingly being adopted in the media with zero editing as Business Insider copy-pastes Google translated Chinese government statement. Continue reading
Police arrest man for possession of 14 pounds of illegal drugs, but the case does not hold up in court because Google Translate was used to ask the defendant for permission to search his vehicle. Continue reading
As Facebook faces fundamental questions about its business model, understanding what content is being shared on the platform has become a top priority. With more than 2 billion monthly active users, language tech will play the decisive role. 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
Amazon’s third Amazon Research Awards picked 49 out of over 800 submissions and will be awarding research groups up to USD 80,000 each for their projects. Six submissions directly relate to natural language processing or neural machine translation. Continue reading
Facebook is open sourcing its unified deep learning framework PyTorch 1.0, the underlying technology that supports AI and many of its products including Translate. Continue reading
Research into neural machine translation in 2018 is exploding, with April 2018 being the busiest month ever for NMT, as Big Tech companies from Google to Facebook to Amazon go full throttle on multiple areas of research. Continue reading
Amazon comes out guns blazing in general launch of Amazon Translate and enlists Lionbridge as showcase customer. Pricing in line with other tech giants Google and Microsoft while quality still likely trails DeepL. Continue reading
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