Though Amazon announced its open-source, sequence-to-sequence machine learning framework Sockeye would be available to all last July 2017, its researchers waited until December 2017 to file papers into Arxiv so they can test their creation against WMT2017’s best. Continue reading
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. Continue reading
The European Union’s Irish translator woes continue as demand for Gaelic linguists steadily increase while the Irish language emerges from derogation and into official status come 2022, and yet the in latest hiring round where over 200 candidates applied, only 10 were put in reserve. Continue reading
Growth in gaming continues unabated with mobile, PC, and console all driving demand for localization. Virtual and augmented reality gaming remains niche but is set to become increasingly prominent in the next two to three years. Continue reading
In the US, Interpretation and translation top UC San Diego’s list with 31% job growth rate from 2016 to 2026 and a median average salary of USD 21.90 per hour. Continue reading
Slator poll-takers say life sciences is the most high-growth vertical, share very positive outlook on neural MT, reveal word rate changes in 2017, and answer whether LSPs should build or buy their tech. Continue reading
The US government’s translation and interpretation spend for 2017 has reached over half a billion US Dollars so far, already outstripping 2016 spending. Over 77% of spending went to just 20 companies. Continue reading
Evernote began localization with zero budget, internally developed tech and crowdsourced translations. Now they handle 2.4 million words across 25 languages with their open source stack and direct freelancers. Continue reading
Revenues flat and earnings down 17.5% in fiscal Q2 at Japan’s largest language service provider Honyaku Center. Translation business posts modest growth while conventions business drops 80%. Continue reading
Facebook experiments with post-editing to improve its neural machine translation system. The QuickEdit system supposedly improves machine output by learning from post-editors by simply rejecting words in a translation that don’t work. Continue reading
Natural language processing startups and more established players pick up millions of investment as investors’ interest in anything related to AI continues unabated. Continue reading
US government earmarks USD 14m for research into automated translations of low-resource language material for the intelligence community. System will be able to retrieve info, translate, and summarize in English with capacity to translate 750m words daily. Continue reading
Salesforce launches its own neural machine translation model at Dreamforce conference in San Francisco. The model has not been productized yet but AI unit head hints at deployment in 2018. Continue reading
At SlatorCon New York, Assistant Professor Kyunghyun Cho gave the audience a breakdown of the state-of-the-art in neural machine translation: how it developed, how it beat existing MT systems, and how it’s already mainstream and extremely fast-moving. Continue reading
GoPro Senior Director of Globalization Sonia Oliveira discusses the role localization for international audiences plays for the future of her company, which is expecting a return to profitability by the end of 2017 thanks to revenue generated internationally. Continue reading
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