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
Technology
Stay on top of how technology shapes the language services industries
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
Advertisement
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
Microsoft did not pull any punches announcing their research findings on new neural machine translation systems that have achieved “human parity” in Chinese to English news translation according to a new human evaluation method they developed. Continue reading
China issued a 3-year action plan to boost AI development for implementation across the whole country. It sets out quantified targets for eight commercial applications of AI, including speech recognition and machine translation, which it wants to achieve by 2020. Continue reading
European researchers train neural machine translation on 100 million words to translate Lord of the Flies, 1984, Ulysses, and nine other works of literature from English into Catalan. Between one third and one sixth of the sentences “would not need any correction”. Continue reading
Though Amazon announced its open-source, sequence-to-sequence machine learning framework Sockeye would be available to all last July 2017, its researchers waited until December 2017 to file papers into Arxiv so they can test their creation against WMT2017’s best. Continue reading
PhD Candidate and TextShuttle CTO Samuel Läubli presented a compelling case for neural machine translation during SlatorCon Zurich, outlining why neural is a breakthrough over predecessor technologies. Continue reading
Amazon Web Services CEO Andy Jassy launches the cloud computing giant’s enterprise neural machine translation offering at its annual conference in Las Vegas. Language service providers among core target client group. Continue reading
Facebook experiments with post-editing to improve its neural machine translation system. The QuickEdit system supposedly improves machine output by learning from post-editors by simply rejecting words in a translation that don’t work. Continue reading
Salesforce launches its own neural machine translation model at Dreamforce conference in San Francisco. The model has not been productized yet but AI unit head hints at deployment in 2018. Continue reading
This information will never be shared with third parties. No Spam.