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What is Evaluating The Translation Performance of Large Language Models Based On Euas-20 about?
This paper evaluates the translation performance of large language models (LLMs) using a newly constructed dataset called Euas-20, which includes 20 representative languages. The study finds that while LLMs show significant improvements in multilingual translation abilities, their performance varies across languages, with better results for high-resource languages compared to low-resource ones. Additionally, the quality and diversity of pre-training data are crucial factors influencing the translation capab
- Author
- Hafsa El faida
- Language
- EN