Projects funded by the NCN


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9 projects found matching your search criteria :

  1. From Human Strategy to Algorithmic Bias: A Quantitative Framework for Translation Analysis

    Call: PRELUDIUM 24 , Panel: HS2

    Principal investigator: Maciej Rapacz

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  2. Lightweight Multimodal Multilingual Context-Aware Machine Translation for AI Documents

    Call: CHIST-ERA Call 2025 , Panel: HS2

    Principal investigator: dr hab. Łucja Małgorzata Biel

    Uniwersytet Warszawski

  3. Translation is Not Enough (TINE): Plain Language Adaptation of Multilingual Science

    Call: CHIST-ERA Call 2025 , Panel: ST6

    Principal investigator: dr Łukasz Maciej Kobyliński

    Instytut Podstaw Informatyki PAN

  4. Multimodal Translation and Adaptation of Scientific Knowledge for Global Accessibility

    Call: CHIST-ERA Call 2025 , Panel: ST6

    Principal investigator: dr hab. Mikołaj Igor Leszczuk

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  5. Compositional modularity in Multilingual Neural Machine Translation

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Mateusz Klimaszewski

    Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

  6. Insight into the pollen biology in Arabidopsis thaliana: Functional analysis of annexin 5 (ANN5) in re-organization of t...

    Call: OPUS 22 , Panel: NZ3

    Principal investigator: dr Małgorzata Lichocka

    Instytut Biochemii i Biofizyki PAN

  7. The role of a new uL10 protein isoform in regulation of translational machinery activity

    Call: PRELUDIUM 12 , Panel: NZ1

    Principal investigator: dr Kamil Paweł Deryło

    Uniwersytet Marii Curie-Skłodowskiej w Lublinie, Wydział Biologii i Biotechnologii

  8. Isabelle Emulator for Mizar: Environment for Mizar Mathematical Library Reverificationa

    Call: SONATA 10 , Panel: ST6

    Principal investigator: dr Karol Pąk

    Uniwersytet w Białymstoku, Instytut Informatyki

  9. Application of generative and discriminative machine-learning models to automated grammatical error correction

    Call: PRELUDIUM 8 , Panel: ST6

    Principal investigator: Roman Grundkiewicz

    Uniwersytet im. Adama Mickiewicza w Poznaniu, Wydział Matematyki i Informatyki