From Software Engineer to CEO: TextShuttle Names Lucas Seiler Its New Leader
Switzerland-based machine translation provider, TextShuttle, promotes Software Engineer, Lucas Seiler, to CEO. Seiler on their business model and growth opportunities.
Switzerland-based machine translation provider, TextShuttle, promotes Software Engineer, Lucas Seiler, to CEO. Seiler on their business model and growth opportunities.
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.
Group of leading researchers finds that the way machine translation quality is evaluated by humans is broken. Group issues five recommendations on how to fix it.
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.
From technology, markets, and M&A to investment and the competitive landscape, the language industry leaders we interviewed in 2018 commented on a wide range of issues - here are our top picks.
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions.
Microsoft’s “human parity” claims drew skepticism from a team of neural machine translation researchers as they found that much of the research and industry community is looking at the problem from the wrong angle.
Translation productivity startup Lilt adds tech industry veteran and Sequoia Capital Partner Bill Coughran to its board of directors and steps up hiring.
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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