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Maxim Khalilov

Maxim Khalilov is a Commercial Owner at acting as a bridge between translations operations, product and major stakeholders and focusing on innovation and optimization of translation technologies and processes. Maxim has a PhD in statistical machine translation (Polytechnic University of Catalonia, 2009), an MBA (IE Business School, 2016) and is the author of more than 30 scientific publications. Prior to joining, he worked as a machine translation Technical Lead at bmmt GmbH (Munich), an R&D manager at TAUS (Amsterdam) and as a post-doctoral researcher at the University of Amsterdam.

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Maxim Khalilov Monday, 19 September 2016 in The Quantum Leap

Deep Learning is Coming: Why Machine Translation is Becoming Better

The last significant breakthrough in the technology of statistical machine translation (SMT) was in 2005. That year, David Chiang published his famous paper on hierarchical translation models that allowed to significantly improve the quality of statistical MT between distant languages. Nowadays we are standing on the verge of an even more exciting moment in MT history: deep learning (DL) is taking MT towards much higher accuracy and finally brings human-like semantics to the translation process.

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