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. Continue reading
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Results of a survey among hundreds of machine learning researchers say machines will overtake (amateur) human translators by 2024. Translating film subtitles will take another two years, while cracking an entirely new language Rosetta Stone-style another eight years. Continue reading
As interest in neural machine translation reaches new heights — with even Mark Zuckerberg posting about it on his personal Facebook page — academia continues to churn out NMT papers at a record clip; 2017 output already on par with whole of 2016. Continue reading
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Research by Oxford Internet Institute on how online consumers react to foreign-language, user-generated reviews reveals that nearly one-third rely on machine translation to make their choice. Continue reading
Harvard and Systran publish a paper on their open-source neural machine translation model, OpenNMT. Research toolkit is a complete NMT implementation. Creators hope it will become the Moses of NMT. Continue reading
“Google, we promise we are not taking you on,” says the Harvard NLP group as a research project draws Systran’s attention and is co-developed into open-source NMT. Systran expects competitors to quickly build products based on the technology. Continue reading
Research into statistical machine translation is fast falling out of favor among the research community as the number of papers published on neural machine translation skyrockets in 2016. Continue reading
PhD thesis by Anne Weber from Germany’s Saarland University reveals that German compound nouns do get lost in translation. Lack of compound nouns may be what separates a mediocre translation from a great translation. Continue reading
Researchers from Carnegie Mellon University, University of Hong Kong, and New York University say they are able to show “for the first time” that certain algorithms can perform simultaneous translation much better than previous segmentation-based algorithms. Continue reading
New study shows neural machine translation (NMT) performs significantly better than traditional statistical methods. Researchers say NMT’s computing cost no longer an issue, but call the translation process still opaque. Continue reading
Study of over 500,000 user-generated reviews on TripAdvisor reveals stark contrasts in the relevance of ratings across different languages. French and Spanish agree the most; Chinese and Danish, not so much. Continue reading
Survey by the Zurich University of Applied Sciences of nearly 2,000 translators on ergonomics reveals: 75% to be in good health, more than 50% use multiple CAT tools…and freelancers prefer laptops. Continue reading
European Commission announces winners of Juvenes Translatores contest. Students turn in entries in 166 language combinations. Winners of the top three most competitive fields speak about linguistic challenges and their take on translation as a profession. Continue reading
Vistatec, Moravia, Welocalize, and Sajan among 19 industry partners expected to fund more than half of Ireland’s investment in digital content technologies. Continue reading
As the language services market grows, academic institutions respond to demand for talent while MOOCs receive public funds for machine translation Continue reading
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