Project description
Training machine learning models for natural language tasks
The internet contains vast amounts of data and information, written and audiovisual, and in many different languages. There is a growing need to take advantage of this largely untapped resource. The EU-funded SELMA project will address the ingestion and monitoring of large amounts of data. The project will systematically train machine learning models for natural language tasks and use these models to monitor data streams, aiming to improve multilingual media monitoring and news content production. The project will ultimately advance the state of the art in language modelling, machine translation and speech recognition and synthesis.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
53113 Bonn
Germany
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Participants (4)
84029 Avignon Cedex 01
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1459 Riga
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1000-123 Lisboa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
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