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Compositional modularity in Multilingual Neural Machine Translation

2023/49/N/ST6/02691

Keywords:

neural machine translation modular deep learning disentangled representation learning

Descriptors:

  • ST6_09:

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Mateusz Klimaszewski 

Number of co-investigators in the project: 2

Call: PRELUDIUM 22 - announced on 2023-03-16

Amount awarded: 139 031 PLN

Project start date (Y-m-d): 2024-10-30

Project end date (Y-m-d): 2026-10-29

Project duration:: 24 months (the same as in the proposal)

Project status: Pending project

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Articles in post-conference publications (4)
  1. Multilingual Data Filtering using Synthetic Data from Large Language Models
    Authors:
    Jonas Waldendorf, Barry Haddow, Alexandra Birch, Mateusz Klimaszewski
    Conference:
    Findings of the Association for Computational Linguistics: EMNLP 2025 (rok: 2025, tom: Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), strony: 9317–9334), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 5-9.11.2025
    Status:
    Published
    DOI:
    10.18653/v1/2025.findings-emnlp.495 - link to the publication
  2. No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
    Authors:
    Mateusz Klimaszewski, Piotr Andruszkiewicz, Alexandra Birch
    Conference:
    Proceedings of the 31st International Conference on Computational Linguistics (rok: 2025, tom: 31st International Conference on Computational Linguistics (COLING 2025), strony: 11121–11134), Wydawca: Association for Computational Linguistics
    Data:
    konferencja Styczeń, 2025
    Status:
    Published
  3. EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing
    Authors:
    Jacqueline Rowe, Ona De Gibert, Mateusz Klimaszewski, Coleman Haley, Alexandra Birch, Yves Scherrer
    Conference:
    Proceedings of the Tenth Conference on Machine Translation (rok: 2025, tom: The Tenth Conference on Machine Translation (WMT 2025), strony: 1166-1182), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 8-9.11.2025
    Status:
    Published
    DOI:
    10.18653/v1/2025.wmt-1.91 - link to the publication
  4. EuroGEST: Investigating gender stereotypes in multilingual language models
    Authors:
    Jacqueline Rowe, Mateusz Klimaszewski, Liane Guillou, Shannon Vallor, Alexandra Birch
    Conference:
    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (rok: 2025, tom: Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), strony: 32074–32096), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 5-9.11.2025
    Status:
    Published
    DOI:
    10.18653/v1/2025.emnlp-main.1632 - link to the publication

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