A prototype system for obtaining and managing training data for multilingual learning

Project Information

Data4ML

Grant agreement ID: 101113091

DOI

10.3030/101113091

Project closed

EC signature date 30 March 2023

Start date 1 October 2023

End date 30 September 2025

Funded under

• European Research Council (ERC)

Total cost

No data

EU contribution

€ 150 000,00

Coordinated by

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

Publications

Conference proceedings (5)

EXECUTE: A Multilingual Benchmark for LLM Token Understanding

Author(s): Lukas Edman, Helmut Schmid, Alexander Fraser
Published in: Findings of the Association for Computational Linguistics: ACL 2025, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-ACL.95

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora

Author(s): Yingli Shen, Wen Lai, Shuo Wang, Ge Gao, Kangyang Luo, Alexander Fraser, Maosong Sun
Published in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.EMNLP-MAIN.374

Improving Parallel Sentence Mining for Low-Resource and Endangered Languages

Author(s): Shu Okabe, Katharina Hämmerl, Alexander Fraser
Published in: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.ACL-SHORT.17

Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs

Author(s): Lukas Edman, Alexander Fraser
Published in: Proceedings of the First BabyLM Workshop, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.BABYLM-MAIN.31

Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA

Author(s): Shu Okabe, Daryna Dementieva, Marion Di Marco, Lukas Edman, Katharina Haemmerl, Marko Měškank, Anita Hendrichowa, Alexander Fraser
Published in: Proceedings of the Tenth Conference on Machine Translation, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.WMT-1.27