SDL Researchers Nominated for Prestigious European Inventor Award and Recognized for Creating a New Market

Top Quote SDL today announced that three leading researchers from SDL have been nominated for the European Inventor Award 2013 for their contributions to technological, social and economic progress. End Quote
  • (1888PressRelease) May 09, 2013 - The award is presented by the European Patent Office (EPO) to outstanding inventors in five categories. SDL Researchers Daniel Marcu, Kevin Knight and William Wong have been selected as finalists, alongside co-inventor Philipp Koehn, in the 'Research' category. Building on a statistical approach to machine translation, the team invented an advanced method of automated computer translation which improves translation quality and increases the speed of translation output. The team invented the "phrase-based joint probability model for statistical machine translation" while working together at the University of Southern California Information Sciences Institute.

    "This revolutionary approach makes some of the most obscure languages in the world understandable to anyone with Internet access," said Benoît Battistelli, President of the EPO. "Today most of the big names in Internet translation, including Google and Microsoft, have integrated this model into general-purpose translation services such as Google Translate and Bing."

    "It is an honor to be a finalist for the European Inventor Award," said Daniel Marcu, Chief Science Officer at SDL. "We have just scratched the surface of what is possible and SDL is one of the few organizations in the world that has both the level of expertise as well as the high level of corporate commitment to R&D needed to deliver this kind ongoing innovation, so we're excited to continue our work at SDL Research."

    The SDL researchers nominated for this award are part of a world class team of scientists at SDL Research that enjoy widespread acknowledgement from the academic community, with hundreds of peer reviewed publications and conference papers between them and nearly 100 patents granted or filed. Based in innovation centers in the US and the UK, the team is focused on ongoing advances in natural language processing, statistical prediction and machine learning to enable companies with new ways to use machine translation to solve "Big Language" business challenges and deliver a truly global customer experience.

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