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: https://eamt2022.com).
Visit this link for more information. Congratulations Mattia from the rest of the AppTek team!
AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.
