In addition to reducing productivity, this causes frustration for the user as the same mistakes are repeated again and again by the engines.ĪdaptiveMT, on the other hand, addresses these issues and represents an exciting innovation in the field of machine translation, but what exactly is it and how does it help the life of a translator? How AdaptiveMT can benefit youĪ self-learning MT engine unlike traditional MT adapts in real time to the terminology and style of the translator, based on each individual post-edited segment that is sent back to the engine.
Post-edits are always ignored as the MT engine, even if it has been trained, is “static" and cannot adapt to any changes the translator makes. Interestingly, of those that already use MT, 59% see MT having a positive impact for the future.Įven though machine translation has made some big strides there are still concerns and issues that have needed addressing, the most common being post-editing. Overall, 44% of respondents to our research believe that MT is driving the future of the industry. In fact machine translation has already made some credible headway in recent years. Despite the still relatively low adoption level of machine translation, MT usage is projected to rise significantly over the next 5 years. Given the controversy surrounding MT this was a little bit of a surprise for us. From this research, unsurprisingly, productivity was a key concern for people.Ī key trend raised was how can we continue to cope with the ever increasing demands to turn around translations quicker than ever? So when we asked you about the next productivity boost and where might it come from, machine translation was clearly identified. With the release of SDL Trados Studio 2017, AdaptiveMT is a standard service, so why is now the right time to introduce this technology?įind out more about AdaptiveMT > What our research told usĮarlier this year SDL conducted the largest technology research initiative for our industry, Translation Technology Insights, with nearly 3,000 respondents. We have in one way or another been working with AdaptiveMT technology since 2005 when we filed our first self-learning machine translation patent. The interesting thing about AdaptiveMT, often also referred to as “self-learning" machine translation (MT), is that it is not actually a new technology to us at SDL.
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