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60th meeting of the Prague computer science seminar

23 May 2024   16:15

AI Stolen by Transformers!
Sequence-to-sequence deep learning models originating in the area of machine translation (MT) have exploded the public interest in AI, effectively stealing the name of the field for the current years. To MT researchers, this is reminiscent of 2013-2015 when deep learning invaded the field of MT and completely rewrote the methodology.

Ondřej Bojar is an Associate Professor at ÚFAL (Institute of Formal and Applied Linguistics), Charles University, and a lead scientist in Machine Translation in the Czech Republic. He has been co-organizing a well-known series of shared tasks in machine translation and machine translation evaluation (WMT) since 2013. His system has dominated English-Czech translation in the years 2013-2015, before deep learning and neural networks fundamentally changed the field. Having taken part and later supervised ÚFAL’s participation in a series of EU projects (EuroMatrix, EuroMatrixPlus, MosesCore, QT21, HimL, CRACKER, Bergamot), he has recently concluded his coordination of the EU project ELITR focused on simultaneous speech translation into over 40 languages. ELITR has also coined the task of project meeting summarization with its AutoMin 2021 and 2023 shared task.

Place
Posluchárna KN - 107, ČVUT FEL, Karlovo náměstí 13, Praha 2
Online event URL
https://www.praguecomputerscience.cz/
Organizer
ČVUT a MFF UK
Contact person
Petra Rosická, rosicpe1@fel.cvut.cz
More information
https://www.praguecomputerscience.cz/
Attachment
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