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
CNBC reports that Amazon is looking to offer the translation technology it built for internal use to third parties. The move would be a direct challenge to Google Translate and the many other MT offerings by big tech companies. Continue reading
In 2013, the European Patent Office (EPO) partnered with Google to power its for-information-only Patent Translate portal. In May 2017, the EPO rolled out neural machine translation. And as Europe implements a new patent regime in the coming years, machine translation will play an ever more important role. Continue reading
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Google Translate hides in plain site at annual developer conference. The talk was mostly about AI and the search giant’s proprietary processors that power neural machine translation. And then there was CEO Sundar Pichai introducing Google Lens, translation feature and all. Continue reading
As India’s entire population embraces digital, the need for local language content is growing fast. A report from KPMG and Google positions LSPs and freelance translators within India’s complex language ecosystem. Continue reading
As language translation emerges as a yardstick for progress in artificial intelligence, high quality human translation data becomes a prized asset. The race for AI leadership sees Baidu host translation marathons across China to fill its data trove. 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
An in-depth look into technology’s impact on the transcription business and the parallels that exist with the language services industry. We talk to current and former transcription professionals to get their take on where the industry is headed. Continue reading
As Google deploys its recently unveiled neural machine translation model to Google Translate, new tweaks enable the system to translate new languages without any prior training or reference data. Continue reading
Deploying neural networks for machine translation has drawn a new crop of researchers to test their models on the translation problem. Jason Lee, a PhD from the Swiss Federal Institute of Technology (ETH) has taken an NMT model from word- to character-level. Continue reading
Machine translation vendor opens demo version of its neural machine translation engine to the public; platform built on Torch. As with other NMT systems, model tends to improve fluency, but also produces new kinds of errors unseen in SMT. Continue reading
Microsoft translates all of Wikipedia’s English pages in under a tenth of a second. Baidu rolls out open source, deep learning yardstick. Nvidia wants to power AI; and Amazon and Samsung update translation-related patents. Continue reading
Google team publishes a detailed paper on its rapid progress in neural machine translation. Says new model running on Google’s Tensor Flow surpasses all other systems and approaches human translation. Continue reading
Lilt pokes the SDL bear. And Google asks the public for free translation. Meanwhile, Facebook files a machine learning patent, ex-Lingotek CEO is now the CTO of inWhatLanguage, and Lionbridge’s Microsoft temps sign their first union contract. Continue reading
Google just launched a paid, cloud-based natural language processing service that offers entity recognition, sentiment analysis, and syntax analysis. Exclusive analysis by Expert System CTO Marco Varone, LT-Innovate Chairman Jochen Hummel, and industry analyst Seth Grimes. Continue reading
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