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 provides an artificial intelligence and machine learning-based automatic speech recognition, machine translation and natural language understanding platform for organizations in a variety of markets, such as media and entertainment, call centers, government, enterprise business and others across the globe. Available via the cloud or on-premise, AppTek delivers the highest quality real-time streaming and batch speech technology solutions in the industry. Featuring scientists and research engineers who are recognized amongst the best and most experienced in the world, the company’s solutions cover a wide array of languages, dialects, and channels.