SlatorCon Zurich 2018 featured language industry experts from big tech, life sciences, language services, private equity and investment banking, hosting speakers from Google, Roche, Ubiqus, LanguageWire and Raymond James, as well as Slator’s own Florian Faes. Continue reading
Top US university Carnegie Mellon, known for its natural language processing and neural machine translation research, has launched a new Master’s program in Global Communication and Applied Translation, designed to train translators of the future. Continue reading
As AI is booming, the world’s largest natural language processing conference doubled in size this year and attracted 2,500 researchers. Global tech companies came looking for fresh talent. And research teams from across the globe battled it out on shared machine translation tasks. Continue reading
The drivers of growth in Asia’s language industry came into focus as Slator hosted its inaugural SlatorMeet in Hong Kong on October 11th, 2018. Continue reading
Incumbent LSPs are optimistic about their own H2 2018 business outlook, but doubtful about the staying power of the new UK language companies. How is NMT filtering through the supply chain and is Google’s MT customization a big deal? Continue reading
ZOO Digital was in the right place at the right time when the streaming revolution hit. CEO Stuart Green addressed participants at SlatorCon London in May 2018 and explained how media localization has fundamentally changed and how he plans to take the company forward. Continue reading
As language service providers expand across more of the localization supply chain, language technologies can be barriers for LSPs to these growth segments. Customer segmentation and industry focus are now shaping the way that LSPs choose to invest in language technologies. Continue reading
US researchers outline how technology could be used to support the work of simultaneous interpreters. They propose analyzing the linguist’s performance on the fly via real-time quality feedback loop and offer help only when the interpreter is struggling. Continue reading
Leading Chinese Internet company focuses on online education to tap the monetization potential of their machine translation capabilities. Among the investors is the venture capital arm of Lenovo’s holding company. Continue reading
Translation startup, Lilt, has launched the next generation of human/machine translation: the neural feedback loop. Continue reading
In the global enterprise, content submitted for machine translation is often highly sensitive. SDL’s engineers and linguists have teamed up to develop neural machine translation that produces high-quality output and can be deployed on-premise or in a Private Cloud with minimal support. Continue reading
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