The SUMMA Platform Prototype
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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Tasks
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)General ClassificationMachine TranslationSemantic Parsingspeech-recognitionSpeech RecognitionTranslationSimilar Papers 제목 키워드 기반
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