For the first time, automated translation from and into Romansh is finally available. This is made possible by a collaboration between the Swiss companies Radiotelevisiun Svizra Rumantscha (RTR) and TextShuttle.
MasterWord CEO, Mila Golovine talks about the LSP’s journey, from a university class project to a major service provider, and discusses how stress and vicarious trauma affect linguists.
Switzerland-based machine translation provider, TextShuttle, promotes Software Engineer, Lucas Seiler, to CEO. Seiler on their business model and growth opportunities.
TextShuttle, the Swiss artificial intelligence (AI) specialists for secure, customisable machine translation, today announced that Lucas Seiler was appointed as their new CEO.
TextShuttle CTO Samuel Läubli joins SlatorPod to weigh in on machine translation’s state of the art, AI for creative translation, and how bootstrapping is a healthy way to grow a language tech startup
November 2020 paper by University of Zurich and Lilt researchers measures how text presentation impacts translation quality via three tasks: copying, identifying errors, and revision.
From technology, markets, and M&A to investment and the competitive landscape, the language industry leaders we interviewed in 2019 commented on a wide range of issues. Here are our top picks.
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
Study examines impact of machine translation post-editing on productivity of in-house translators at Switzerland’s Migros Bank.
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.
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018.
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.
Broad agreement among language industry leaders at SlatorCon Zurich that industry is at a turning point. Rapid advances in technology and emerging competitors will require a complete retooling across the language industry supply chain.
Switzerland’s National Science Foundation funds a research project by the University of Zurich to the tune of CHF 0.46m that tackles one of machine translation’s core challenges – the lack of adequate contextualization.
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