What can secure machine translation do for a USD 10 billion a year technology giant? SDL’s MT solutions delivered exceptional security, reduced costs and consistently accurate translation. Continue reading
machine learning
Making do with less training data, infusing models with more document-level context, and increasing efficiency and reducing power consumption have been high on the agenda of neural machine translation researchers over recent months. Continue reading
Can machines become as good as humans in natural language? Are CAT tools getting far too complicated? Will users increasingly grow comfortable with sacrificing data privacy for personalized digital comfort? These issues are examined with bold quotes and predictions from the memoQ Trend Report 2018. Continue reading
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Jaroslaw Kutylowski, Chief Technology Officer of DeepL, talks about why they decided to enter machine translation, discusses how they plan to monetize their technology, and weighs in on the man vs. machine debate. Continue reading
Shares in Sydney-based Appen continue to rally and are up more than 600% since 2015 IPO. Strong 1H 2017 earnings mostly driven by booming unit which trains machine learning products. Continue reading
Language services and data provider Appen continues to ride the machine learning and artificial intelligence boom, clocking up revenue growth of 34% versus 2016. While shares are up more than 300% since IPO, they are down slightly in 2017. Continue reading
Yandex hires Microsoft veteran, folds machine translation unit into new machine learning division. Russian language industry researcher says while Yandex has a home court advantage, it will forever fight an uphill battle against Google. Continue reading
Committee advising US President on science and tech policy formulation and budget development publishes report on the impact of rapid progress in artificial intelligence. Paper classifies translation under Narrow AI and calls progress in the area remarkable. Continue reading
Shares in Australia’s Appen have shot up nearly 500% since the IPO in January 2015 boosting the company’s market capitalization to around USD 220m. Driving the bonanza are the personal digital assistants and big techs hunger for data. 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
Amazon is hiring scientists for its machine learning hub in Italy, while MIT researchers just released a dataset that could help improve your grammar. Meanwhile, court interpreters in the Marianas cry foul, while some in the UK will soon be working for a new MoJ contractor. Continue reading
Why statistical machine translation has maxed out its potential and why even a building full of translators will not do for the world’s biggest social network; highlights of Alan Packer’s presentation at the EmTech Digital conference in San Francisco. Continue reading
Predictive typing, no more middlemen, visualized app translation, machine translation edited by the crowd, and more. What is shaping tomorrow’s language industry. And are the incumbents ready for what’s coming? Continue reading
Natural language processing, social and media analysis, text analytics, artificial intelligence all attracted significant funding in 2015, with the United States and Europe leading the way. Continue reading
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