Technology

META-NET Looks to Neural Machine Translation

Map of the languages of Europe. (Source: Wikipedia) META is the Multilingual Europe Technology Alliance, created by META-NET, an international organization founded in 2010, now comprised of 60 research centers from 34 countries. META-NET's mission is to foster a language technology foundation for Europe. A recent article published in Slator, How Neural Machine Translation Can Unlock [...]

By | 2016-10-19T12:54:54+00:00 September 20th, 2016|Technology|

New Urdu-Punjabi Machine Translation System

Guru Gobind Singh Bhawan at Punjabi University, Patiala, India. (Image: Wikipedia) A new project from Punjabi University, Patiala in India created a new Machine Translation (MT) system to specifically improve the quality of translation directly between these two languages. An article in the Times of India details some of the technical challenges the research team faced such [...]

By | 2016-10-19T12:55:18+00:00 September 6th, 2016|Culture Studies, Technology|

Risks and (Lack of) Rewards for Crowdsourcing

Today we have two separate stories regarding crowdsourcing, and the risks and possible (lack of) rewards that come from relying on an all-volunteer army to solve your translation needs. Risk: Microsoft's Very Bad Day Not cool, Microsoft. This week, Microsoft had to apologize profusely when its Bing translation engine started wrongly translating the Arabic [...]

By | 2016-10-19T12:55:26+00:00 September 1st, 2016|News, Technology|

Machine Translation: How does it work?

Translators increasingly need to be well-versed not just in linguistics, but also in technology. Just as the worlds of typography, accounting, medicine, and a myriad of other industries were revolutionized in recent decades by computers and information technology, translators need to understand the evolving impact of technology on their own profession. In the future, the greatest [...]

By | 2016-10-19T12:55:50+00:00 August 22nd, 2016|Daily Questions, Technology|

e2f, Lilt & GetYourGuide to speak at LocWorld32

The staff here at e2f are looking forward to meeting you at LocWorld32, which will be held this 26-28 October 2016, in Montreal, Quebec. We'll be at Stand 22 in the exhibit hall. As well, e2f's CEO, Michel Lopez, will be speaking along with Lilt's CEO, Spence Green, and GetYourGuide's Anne-Cécile Tomlinson, about our case study for the use [...]

By | 2016-10-19T12:55:59+00:00 August 16th, 2016|News, Technology|

Lilt Updates for August

Spotted over on LinkedIn: an update from Lilt for August 2016 updates to its autoadaptive translation platform. The update includes a new "reviewer mode," which allows a partially-completed document to be sent to review, limiting the reviewer to already-translated segments, while the translator forges on ahead. This can be particularly helpful for lengthy file content. Next comes "fuzzy match [...]

By | 2016-10-19T12:56:16+00:00 August 12th, 2016|Technology|

Wearables TechCon in San Jose

This week, the Wearables TechCon, plus Internet of Things TechCon were held in San Jose's McEnery Convention Center. e2f attended to see what was new in these exciting fields. There were a number of emergent trends at the show: Devices are going from concept to market in incredibly quick time frames. Everyone's in the game: [...]

By | 2016-10-19T12:56:34+00:00 July 20th, 2016|Technology|

e2f and Lilt Case Study: First Large-Scale Application of Auto-Adaptive Machine Translation

(SAN JOSE, CA) e2f, of San Jose, California this week released a case study detailing the largest single translation project in the company's fifteen year history: 1.77 million words translated into 6 languages within a ten day turnaround. Such a task could only be accomplished by providing e2f's team of over 100 translators and [...]

By | 2017-11-27T10:53:32+00:00 June 13th, 2016|News, Technology|

Facebook, Google and the Future of Neural MT

Back a few weeks, we shared with you the news from Facebook about how the social giant was replacing Bing Translation with its own internally-developed automated machine translation (MT) system. We even did a brief test to see how their new in-house system compared to Bing Translate. Now comes the deeper and more stunning details. [...]

By | 2016-10-19T12:58:10+00:00 June 10th, 2016|Technology|
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