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Head of Research Department Multilinguality and Language Technology

Prof. Dr. Josef van Genabith

Publications

Nora Graichen; Josef van Genabith; Cristina España-Bonet

In: Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP-2023), July 10, Toronto, Canada, Pages 67-83, Association for Computational Linguistics, 7/2023.

To the publication

Niyati Bafna; Cristina España-Bonet; Josef van Genabith; Benoît Sagot; Rachel Bawden

In: 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN). Conférence sur le Traitement Automatique des Langues Naturelles (TALN-2023), June 5-9, Paris, France, Pages 28-42, ATALA, 6/2023.

To the publication

Yusser Al Ghussin; Jingyi Zhang; Josef van Genabith

In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2023), May 2-6, Dubrovnik, Croatia, Pages 1304-1310, Vol. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Dubrovnik, Croatia, 5/2023.

To the publication

Profile

  • EUC PT

    EU Council Presidency Translator

    Language is an essential part of our lives – we use it to share information, to describe our feelings, to discuss with others or to pass on knowledge to the next generations. It is a vital component…

    EUC PT
  • DEEPLEE

    Tiefes Lernen für End-to-End-Anwendungen in der Sprachtechnologie

    The research work in DEEPLEE, which is carried out in the Language Technology research departments in Saabrücken and Berlin, builds on DFKI's expertise in the areas of "deep learning" (DL) and…

    DEEPLEE
  • QT21

    QT21: Quality Translation 21

    A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently…

    QT21