Over 100 participants gathered at the Bulgari Hotel in Central London to discuss what’s driving the language industry from AI and automation to emerging buyers and much more. Continue reading
Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to MT post-editing when powered by neural instead of statistical MT. Continue reading
Over two dozen charts and tables and high-level visualizations as well as analysis of GitHub code repositories relevant to the language industry. Continue reading
Natural language processing and neural MT feature heavily as Facebook discusses developments in artificial intelligence at their developer conference F8 2019. Continue reading
Integration, big data, scalability and functionality, automation—the modern demands of language service buyers are driving technology providers to rethink their approach. Continue reading
Asian languages present unique challenges for NMT researchers, and a key to unlock emerging economies for providers. How far along is NMT for Asian languages? Continue reading
Unbabel hires Amazon’s former Machine Translation Group Manager, Alon Lavie, as VP of Language Technologies; Lavie’s former business partner leaves Amazon for Uber. Continue reading
Google researchers approach speech-to-speech translation a little differently in a proof-of-concept that completely takes away reference text, but underperforms compared to existing models. Continue reading
AI-based transcription provider Trint has increased its total funding raised to USD 7.8m, with the unique twist of adding NMT into its platform to allow multilingual content distribution. Continue reading
Before awarding nearly USD 5m in grants toward the end of February 2019, the EU opened up another one worth almost USD 4.5m. Continue reading
How a simple language-learning shortcut using Google Translate went viral and inspired newbie app localizers to try a DIY approach to localization. Continue reading
EU’s CEF grants 5 project proposals for the implementation, data collection, and integration of NMT for low-resource languages, a total of EUR 4.3m in funds. Continue reading
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers. Continue reading
KantanMT has announced that it is to release the world’s first Neural Machine Translation (NMT) engine for the language combinations of English<=>Irish (Gaeilge) and Irish<=>English. Continue reading
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow. Continue reading
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