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
Call for proposal
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Funding SchemeRIA - Research and Innovation action
84029 Avignon Cedex 01