Stream Learning for Multilingual Knowledge Transfer

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

• natural sciences › computer and information sciences › artificial intelligence › machine learning › transfer learning
• humanities › languages and literature › linguistics › phonetics
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

• ICT-51-2020 - Big Data technologies and extreme-scale analytics

Call for proposal

H2020-ICT-2020-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

DEUTSCHE WELLE

Address

Kurt Schumacher Strasse 3
53113 Bonn
Germany

Activity type

Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)

EU contribution

€ 821 812,50

Participants (4)

AVIGNON UNIVERSITE

France

EU contribution

€ 599 281,25

Address

Rue Louis Pasteur 74
84029 Avignon Cedex 01

Activity type

Higher or Secondary Education Establishments

LATVIJAS UNIVERSITATES MATEMATIKAS UN INFORMATIKAS INSTITUTS

Latvia

EU contribution

€ 576 250

Address

Raina Bulvaris 29
1459 Riga

Activity type

Research Organisations

PRIBERAM INFORMATICA SA

Portugal

EU contribution

€ 749 412,50

Address

Alameda D Afonso Henriques 41 2
1000-123 Lisboa

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU contribution

€ 705 750

Address

Hansastrasse 27C
80686 Munchen

Activity type

Research Organisations