Work

Scaling Low-Resource MT via Synthetic Data Generation with LLMs

Year: 2025

Type: conference-paper

Abstract: Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2025.emnlp-main.1408

Authors: Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann

Institutions: University of Helsinki, University of Cambridge

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Bill and Melinda Gates Foundation, Government of the United Kingdom, UK Research and Innovation, European Commission, Cambridge Trust, Gates Cambridge Trust, HORIZON EUROPE Framework Programme

Awards: G1690597291, High Performance Language Technologies, Cambridge University Development Office in the United States Inc (CUDOUS) - to endow a global scholarship program at the post-baccalaureate level for academically gifted students, G6770599008

OpenAlex ID: W4416035679

FWCI: 3.793

Cites:

Cited by: 4

Related to: 10