Over 400 registered participants joined the tenth edition of SlatorCon Remote to discuss how the language industry can incorporate the rapid advances in large language models in production.
In-depth report on localization for the global Travel and Retail sector. Analysis of the competitive landscape, technologies, and actionable insights from major buyers and users.
Mixed reactions from linguists and industry experts as search giant shelves its in-house translation productivity tool Translator Toolkit, which failed to gain real traction since launching in 2009.
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main end-buyer industries, competitive landscape, productivity tech, NMT and much more.
SlatorCon tour took in four global cities across three continents in 2018 and featured a grand total of 35 speakers representing the full breadth of the language industry from startups, language technology and language service providers to the buy side, finance and academia.
Ubiqus CEO Vincent Nguyen walked SlatorCon participants through Ubiqus’ one-and-a-half year journey towards implementing neural machine translation in production and how they are encouraging internal and external stakeholders to get onboard.
Through five case studies and nearly 30 commentaries from the buy (enterprise, government, and more)- and sell-side (LSPs), this report shines a light on the sentiment of industry practitioners towards current-state NMT technology.
The Hut Group, a fast-growing ecommerce company for beauty and wellbeing brands, has acquired London-headquartered language services provider Language Connect to build out its in-house translation capabilities.
Slator went big in Japan with SlatorCon Tokyo on Feb 28, 2018. Language industry leaders from Japan and Asia gathered at the hip Trunk Hotel in the heart of Shibuya to get an update on what's happening in Japan's language industry and network with peers.
SlatorCon Japan gathers leading language industry professionals from Japan, Asia, and Europe for an afternoon packed with insights and networking.
Engineers at Booking.com built a production-level neural machine translation system based on Harvard’s OpenNMT framework and run on Amazon Web Services infrastructure.
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