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Within translation/localization we’re all looking to ensure that the quality of the deliverable meets the expectation, in whatever way those two things are defined. Some people may believe achieving that quality is a factor that is inherent in actually doing the work, and builds around the processes. Other people may, however, think of quality as something that can be tested and evaluated after the work is done. There is a great deal of discussion about this in our industry right now. Some people, on the other hand, may not consider quality as something that should be planned, or measured in terms of...
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Globalization and new technology have not left the translation services of the EU institutions untouched. Successive enlargements have more than doubled not only the number of member states but also the number of official languages. The extension and deepening of the European integration have led to more and more different text types being produced and to an ever-increasing translation demand. At the same time, in-house translation staff per language is progressively being reduced. The pressure to provide more, faster and with fewer resources has led to a need to constantly re-think how we carry out the translation work. We all know...
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Can translation service providers and technology providers meet translation buyers’ requests? How can we evaluate the quality of both source and target within the translation process? How do we measure localization processes? These are just few of the questions that passed the review during the roundtable hosted by TAUS in Barcelona on May 12, 2016. Integration Is Key “There is no more interesting industry than the translation industry nowadays.” These were the opening words of Jaap van der Meer (TAUS Director), who reminded us that we are living the Convergence Era, when translation is a full-fledged utility, available to everyone on...
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In a recent NPR news piece Uber Plans To Kill Surge Pricing, Though Drivers Say It Makes Job Worth It, Jeff Schneider, engineering lead at Uber describes how they are using machine learning to hack the problem of supply and demand. Initially, Uber came up with "Surge Pricing" as a feature designed to help mitigate the phenomenon of demand outstripping supply in a certain area at a certain time. Concretely, that means that when some event causes lots of people to need transportation at the same time in generally the same location, the Uber fare will automatically increase. This increase incentivizes...
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I was recently involved in a project to clean up TM pollution, where the target included a lot of translations from a different language variant. I had to work with the internal linguist to prepare a plan to do it in the most efficient way. No matter how many automation tricks I pulled from my hat, the linguist had reservations for them all and it seemed that, quality assurance-wise, nothing could beat running content through a pair of eyes. And yet the cost of manual review was prohibitive; plus one could also argue about the effectiveness of this approach, considering the...
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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...
You write that "quality management easily constitutes 20% of the total translation time and costs." ...