Raphaël Merx

According to our database, Raphaël Merx authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea.

Bri Olewale, Raphaël Merx, Ekaterina Vylomova

CoRR, March, 2026

Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG.

David Samuel Setiawan, Raphaël Merx, Jey Han Lau

CoRR, January, 2026

2025

A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data.

Naomi Baes, Raphaël Merx, Nick Haslam, Ekaterina Vylomova, Haim Dubossarsky

CoRR, March, 2025

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages.

Raphaël Merx, Hanna Suominen, Trevor Cohn, Ekaterina Vylomova

Proceedings of the Tenth Conference on Machine Translation, 2025

Tulun: Transparent and Adaptable Low-resource Machine Translation.

Raphaël Merx, Hanna Suominen, Lois Yinghui Hong, Nick Thieberger, Trevor Cohn, Ekaterina Vylomova

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data.

Naomi Baes, Raphaël Merx, Nick Haslam, Ekaterina Vylomova, Haim Dubossarsky

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service.

Raphaël Merx, Adérito José Guterres Correia, Hanna Suominen, Ekaterina Vylomova

CoRR, 2024

Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language.

Raphaël Merx, Aso Mahmudi, Katrina Langford, Leo Alberto de Araujo, Ekaterina Vylomova

CoRR, 2024

Generating bilingual example sentences with large language models as lexicography assistants.

Raphaël Merx, Ekaterina Vylomova, Kemal Kurniawan

Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024