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

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

The EMBEDDIA project seeks to address these challenges by leveraging innovations in the use of cross-lingual embeddingscoupled 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.


Curated by:
embeddia
Curation policy:
Not specified
Created:
July 2, 2019
Harvesting API:
OAI-PMH Interface

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