Business
AppTek’s Dr. Mattia Di Gangi Wins EAMT Best Thesis Award
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AppTek’s Mattia Antonino Di Gangi earned the European Association for Machine Translation’s (EAMT) Best Thesis Award for his PhD thesis on end-to-end speech translation.
titled “Neural Speech Translation: From Neural Machine Translation to Direct Speech Translation” (University of Trento, Italy)” as supervised by Marcello Federico, Marco Turchi and Matteo Negri.
As recipient of this award, Dr. Di Gangi has been invited to present a summary of his thesis at the 23nd Annual Conference of the European Association for Machine Translation (EAMT 2022).
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