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A summary of the TAUS DQF Manufacturing Industries Workshop hosted by John Deere   There are a few things that really make a man's heart beat faster. One of those is a 250 horsepower 6R tractor produced by John Deere. As I walk through the entrance gate of the flagship factory of the manufacturing giant in Mannheim (Germany), the lyrics of Rodney Atkins' Friends with Tractors come to mind ("I got everything I need 'cause I got friends with tractors"). Founded in 1921 and spread over more than 40ha, the factory produces a new tractor every 3 minutes. The place, just...
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On March 22-24 (2017), fifty people came together in a former clandestine church in Amsterdam to break their heads on the question how the translation industry will have changed in 2022. The story that came out can be read as an ordinary battle between man and machine, with a victory for the latter. But at a deeper layer, there is a fascinating intrigue with many threads about game-changing technologies and trends and an outcome that is perplexing even for all of us who think that they are behind the wheel today. Be careful what you wish for. The translation companies of...
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This article is the first in a series we'll be posting, exploring the topic of machine translation. Powering the SmartCAT ecosystem with flexible third-party integration capabilities, we’re preparing to enter the Convergence era, in line with the insightful outlook* Jaap van der Meer presented on TAUS in 2013. Not just evolve with the industry but take the lead in this process, that’s what we’re up to. *Read Jaap’s article on TAUS here.   In November last year, Google and Microsoft announced they have updated their translation engines with Neural Machine Translation (NMT) systems. Both companies celebrated a significant boost in the quality...
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TAUS has kindly requested a blog series on current topics in automatic translation. As an opening salvo, here’s a sneak preview of the forthcoming TAUS report on speech-to-speech translation (S2ST). The report, co-authored by Alex Waibel, Andrew Joscelyne, and myself, will attempt a broad view of the field’s past, present, and future. For this appetizer, though, we’ll restrict our view to a brief snapshot – a selfie, if you like – of selected technical accomplishment at the current state of the art. (The report will include interviews with several additional participants.) Google Translate mobile app: Speed: Barring network delays, speech recognition...
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Get a text. Write the same thing in a different language. Done. If only... Translation is a simple task that evolved into a monstrous process - dozens of roles, hundreds of steps and workflows, thousands and thousands of people. Why does it get so complicated? Simply put - four main structural flaws compromise everything. 1) The fragmentation of knowledge and abilities is a common denominator. While translation is a particular skill, and many people can get around in several languages, few are translators to the fullest extent of the word. Translators know two or more languages but not necessarily how to...
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Guest - mary
Great article. Thank you, this is helpful. I am doing research about Machine Translation for my clas...
In terms of the sampling process we use at VMware, there are a couple of points worth considering. W...
Dear Luigi, thanks for your comments. Unfortunately, I don't have written evidence or a study suppor...