24-page report. Blockchain and Translation industry overview. ICOs, business use-cases, solution analysis, crypto chatter and further reading, a cautionary tale. Continue reading
Microsoft
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. Continue reading
Slator readers give their opinion on public sector demand for language services and technology, the impact of startups on the industry in the next three years, the highest potential growth regions, and how neural machine translation should be evaluated. Continue reading
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Language data and search engine training company Appen delivers triple digit revenue growth on the back of Leapforce acquisition and strong organic performance. AI boom drives shares to all-time high. Continue reading
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. Continue reading
Research submissions on neural machine translations ballooned from 91 in the first half of 2017 to 196 in the first half of 2018, although by July 2018 submissions were slowing down. Continue reading
In the UK, more and more language professionals are launching their own businesses. Who starts a language service provider in 2018 and why? Continue reading
Some familiar names helped pushed May 2018 to the top of the charts in terms of neural machine translation research. Meanwhile, the hottest research trends appear to be the race to better quality and translating low-resource, non-Latin languages. Continue reading
In the first half of its 2018 financial year, RWS posts revenues of GBP 139.6m and a pre-tax profit of GBP 28.6m. While acquisitions drive revenue growth, the core patent translation business generates the majority of profits. Shares pop 10% following the results. Continue reading
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. Continue reading
Acquisition activity picks up in the new year as more announcements create ever bigger LSPs. The Danish government tries their hand at aggregating public sector translation demand, and Microsoft claims “human parity” in machine translation. Continue reading
Amazon comes out guns blazing in general launch of Amazon Translate and enlists Lionbridge as showcase customer. Pricing in line with other tech giants Google and Microsoft while quality still likely trails DeepL. Continue reading
Microsoft did not pull any punches announcing their research findings on new neural machine translation systems that have achieved “human parity” in Chinese to English news translation according to a new human evaluation method they developed. Continue reading
Appen delivers yet another stellar year with strong revenue and profit growth, lower expense ratio, and improved operating margins. Recent acquisitions appear to work well. Strong performance lifts Appen’s market cap to above AUD 1bn 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
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