As for multilingual language models, it is important to select languages for training because of the curse of multilinguality. It is known that using languages with similar language structures is effective for cross lingual transfer learning. However, we demonstrate that using agglutinative languages such as Korean is more effective in cross lingual transfer learning. This is a great discovery that will change the training strategy of cross lingual transfer learning.

翻译：对于多语言模型而言，由于多语言性的诅咒，选择合适的训练语言至关重要。已知使用语言结构相似的语言有利于跨语言迁移学习。然而，我们证明使用诸如韩语等黏着语在跨语言迁移学习中更为有效。这一重要发现将改变跨语言迁移学习的训练策略。