Conference paper Open Access

The SUMMA Platform Prototype

Liepins, Renars; Germann, Ulrich; Barzdins, Guntis; Birch, Alexandra; Renals, Steve; Weber, Susanne; van der Kreeft, Peggy; Bourlard, Herve; Prieto, Joao; Klejch, Ondrej; Bell, Peter; Lazaridis, Alexandros; Mendes, Alfonso; Riedel, Sebastian; Almeida, Mariana S. C.; Balage, Pedro; Cohen, Shay B.; Dwojak, Tomasz; Garner, Philip N.; Giefer, Andreas; Junczys-Dowmunt, Marcin; Imran, Hina; Nogueira, David; Ali, Ahmed; Miranda, Sebastiao; Popescu-Belis, Andrei; Miculicich Werlen, Lesly; Papasarantopoulos, Nikos; Obamuyide, Abiola; Jones, Clive; Dalvi, Fahim; Vlachos, Andreas; Wang, Yang; Tong, Sibo; Sennrich, Rico; Pappas, Nikolaos; Narayan, Shashi; Damonte, Marco; Durrani, Nadir; Khurana, Sameer; Abdelali, Ahmed; Sajjad, Hassan; Vogel, Stephan; Sheppey, David; Hernon, Chris; Mitchell, Jeff

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadcast media, machine translation, automated tagging and classification of named entities, semantic parsing to detect relationships between entities, and automatic construction / augmentation of factual knowledge bases. Implemented on the Docker platform, it can easily be deployed, customised, and scaled to large volumes of incoming media streams.

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