SlatorCon tour took in four global cities across three continents in 2018 and featured a grand total of 35 speakers representing the full breadth of the language industry from startups, language technology and language service providers to the buy side, finance and academia. Continue reading
How not to fall prey to bogus LSPs, arrests for pirated translations, translation missteps seen around the world, humble admissions from online giants, and the end to the ownership battle for the largest language service providers — these were the hottest stories of 2018. Continue reading
Through five case studies and nearly 30 commentaries from the buy (enterprise, government, and more)- and sell-side (LSPs), this report shines a light on the sentiment of industry practitioners towards current-state NMT technology. Continue reading
Executives from Wordbee, GoPro, and Tencent discussed a number of key issues at SlatorCon San Francisco 2018 during the Technology Panel, and one takeaway was the limitations of neural machine translation. Continue reading
Hot take on SlatorCon San Francisco 2018. A rundown of main themes and speakers from Slator’s one-day flagship event for the language industry including photo gallery. 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
TransPerfect buys San Francisco-based TranslateNow in first acquisition since legal battle ended. Sales up 21% to USD 275m in first five months of 2018 as execs who had left in protest over Lionbridge bid begin to return. 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
Tencent’s attempt to showcase their latest AI voice recognition and real-time translation engines backfired. Netizens screenshot and circulated embarrassing mistakes, sparking off an online debate on when and what jobs will be replaced by AI. 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
Machine translation companies watch out: Baidu President Zhang Yaqin says supercomputing capabilities like machine translation make them competitive, steps up deal-making. Continue reading
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