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Cross-Lingual Embeddings for Less-Represented Languages in European News Media

Cross-Lingual Embeddings for Less-Represented Languages in European News Media

Objective

Access to the internet is no longer a luxury---it is a basic component of everyday life and civic engagement, but one in which language continues to be a challenge for fair and equitable access. As Europe becomes more multicultural, and personal and professional mobility between cultures rapidly increases, access to fundamental resources such as local news and government services is limited by the great diversity of the EU's 37 languages. The internet mostly developed in English, and without clear planning for how language issues might form barriers to access and engagement, nor how multilingualism might be supported. In the EU, websites and online services for citizens have developed national local language resources, and often only provide a second language (usually English) when absolutely needed; but the great proliferation of web content, multiple and fast-changing content streams, and an expanding user interest base make this approach untenable. And while advanced natural language research and resources exist for a few dominant languages (English, French, German), many of Europe's smaller language communities---and the news media industry that serves them---lack appropriate tools for multilingual internet development. For the EU to realise a truly equitable, open, multilingual future internet, new tools allowing high quality transformations (not translations) between languages are urgently needed. The EMBEDDIA project seeks to address these challenges by leveraging innovations in the use of cross-lingual embeddings coupled with deep neural networks to allow existing monolingual resources to be used across languages, leveraging their high speed of operation for near real-time applications, without the need for large computational resources. Across three years, the project's six academic and four industry partners will develop novel solutions including for under-represented languages, and test them in real-world news and media production contexts.

Coordinator

INSTITUT JOZEF STEFAN

Address

Jamova 39
1000 Ljubljana

Slovenia

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 530 500

Participants (9)

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QUEEN MARY UNIVERSITY OF LONDON

United Kingdom

EU Contribution

€ 451 800

UNIVERZA V LJUBLJANI

Slovenia

EU Contribution

€ 323 750

UNIVERSITE DE LA ROCHELLE

France

EU Contribution

€ 372 500

HELSINGIN YLIOPISTO

Finland

EU Contribution

€ 448 125

THE UNIVERSITY OF EDINBURGH

United Kingdom

EU Contribution

€ 175 000

TEXTA OU

Estonia

EU Contribution

€ 306 250

AS EKSPRESS MEEDIA

Estonia

EU Contribution

€ 113 437,50

STYRIA MEDIJSKI SERVISI DOO ZA TRGOVINU I USLUGE

Croatia

EU Contribution

€ 165 750

OY SUOMEN TIETOTOIMISTO - FINSKA NOTISBYRAN AB

Finland

EU Contribution

€ 111 737,50

Project information

Grant agreement ID: 825153

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2021

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 2 998 850

  • EU contribution

    € 2 998 850

Coordinated by:

INSTITUT JOZEF STEFAN

Slovenia