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Using Big Data to Save Money on Translations

Buyers of language services crave the ability to measure translation quality in an objective way, get easy-to-digest reports on how it is tracking over time, and be able to drill down as needed for process improvement. However, quality control remains a mostly human-driven process – even when supported by QA technology – because humans have to sift through the reports these tools produce. What if there was another way to approach quality?
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How Augmented Translation Affects the Language Services Industry

In the last year, CSA Research has been covering a new paradigm for translator productivity, one we call “augmented translation.” The term comes from “augmented reality”: applications that overlay images of the world with relevant information.
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Augmented Translation Powers up Language Services

Language services today stand on the cusp of a disruptive transformation that will redefine how professional linguists work. This shift will come from the availability of ubiquitous artificial intelligence (AI) that extends their reach and capability and makes them far more efficient than they could otherwise be.
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