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Scaling Low-Resource MT via Synthetic Data Generation with LLMs
Ona de Gibert
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Joseph Attieh
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Teemu Vahtola
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Mikko Aulamo
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Zihao Li
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Raúl Vázquez
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Tiancheng Hu
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Jörg Tiedemann
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Paper Details:
Month: November
Year: 2025
Location: Suzhou, China
Venue:
EMNLP |
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https://opus.nlpl.eu/synthetic/Europarl.php
https://github.com/Helsinki-NLP/low-res-lmt
https://en.wikipedia.org/
https://platform.openai.com/docs/guides/batch
https://pypi.org/project/heliport/
https://archive.org/
https://commoncrawl.org/
https://opus.nlpl.eu/synthetic/
https://huggingface.co/
https://stat.fi/en/publication/
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