Statistical Machine Translation (SMT) has had a fundamental impact in bringing Machine Translation into our daily lives: it is available on the web, on our smart phones, and steadily establishing itself as a core piece in professional translation workflows. This webinar presents and communicates some of the basic ideas and intuitions that underlie SMT, and does this in an accessible way without the mathematics, but with pictures.
This webinar is part of the Research and Innovation Action "Quality Translation 21 (QT21)." This project has received funding from the European Union's Horizon 2020 program for ICT under grant agreement no. 645452.
Josef van Genabith
Josef van Genabith is a Scientific Director at DFKI, the German Research Centre for Artificial Intelligence, where he heads the Multilingual Technologies Group (MLT), and jointly with Prof. Hans Uzskoreit, the Language Technology Lab (LT). He holds the Chair of Translation-Oriented Language Technologies at the University of the Saarland, Germany. He was the Founding Director of CNGL, the Centre for Next Generation Localisation (now ADAPT), in Dublin, Ireland, and was a Professor in the School of Computing at Dublin City University (DCU), Ireland.