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Data entered the field of machine translation in the late eighties and early nineties when researchers at IBM’s Thomas J. Watson Research Center reported successes with their statistical approach to machine translation. Until that time machine translation worked more or less the same way as human translators with grammars, dictionaries and transfer rules as the main tools. The syntactic and rule-based Machine Translation (MT) engines appealed much more to the imagination of linguistically trained translators, while the new pure data-driven MT engines with probabilistic models turned translation technology more into an alien threat for many translators. Not only because the quality...
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We are one step closer to the TAUS Game Changers Innovation Contest, taking place at the TAUS Annual Conference on October 24 and 25 in Portland, OR. We’ve received many interesting proposals and together with the Program Committee we’ve come to a final selection of twenty to present next month. Ten “invader” innovators and ten “insider” innovators will take the stage for a six minute presentation of their innovative technology or development. “Insiders” are companies that are rooted in the translation industry and usually present an incremental type of innovation where as “invaders” are typically companies that come from outside the...
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in Innovation
During the TAUS Annual Conference 2016 in October, Jessica Roland, Director Strategic Accounts at SDL, will host the session 'How Cloud Are You'? This blogpost is written in preparation for this session and as background for our pre-conference survey (see link below).  CLICK HERE TO FILL IN THE SURVEY   We have all heard about the Cloud revolution. It has mostly been viewed from an infrastructure perspective, with a lot of discussion on what constitutes public, private and hybrid clouds. The pros and cons of moving to a cloud-based infrastructure have also been widely explored. Many companies in the TAUS Community  have...
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For decades, speech-to-speech (S2S) translation technologies have been the dream of not only the translation veteran, but also your everyday traveler, business guru and medical expert. The Universal Translator used in Star Trek and the Babel Fish from The Hitchhiker's Guide to the Galaxy are ideals and may have set the standard for many people. However, have we actually come close? And if not, do we even care? The upcoming TAUS S2S Translation Technology report will delve deeper into the past, present and future of S2S translation technology. Where did it all begin and does the progress we have made allow...
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It was Renato (Beninatto) who reminded me, in the ‘Future’ panel discussion in Dublin, that only eleven years ago (when the TAUS think tank was founded) nobody - in his right mind - would think about using machine translation (MT) technology on any job anywhere. And now? Now MT is everywhere. Insiders say that everyday computers translate 200 Billion words. That is 100 times more than the output of all human translators together. MT is everywhere and always there, except … well, except the professionals seem to have their doubts. That makes me think that the state of the industry could...
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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." ...