UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
<|reference_start|>UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages: In this paper, we introduce UniBridge (Cross-Lingual Transfer Learning with Optimized Embeddings and Vocabulary), a comprehensive approach developed to improve the effectiveness of Cross-Lingual Transfer Learning, particularly in languages with limited resources. Our approach tackles two essential elements of a language model: the initialization of embeddings and the optimal vocabulary size. Specifically, we propose a novel embedding initialization method that leverages both lexical and semantic alignment for a language. In addition, we present a method for systematically searching for the optimal vocabulary size, ensuring a balance between model complexity and linguistic coverage. Our experiments across multilingual datasets show that our approach greatly improves the F1-Score in several languages. UniBridge is a robust and adaptable solution for cross-lingual systems in various languages, highlighting the significance of initializing embeddings and choosing the right vocabulary size in cross-lingual environments.<|reference_end|>
@article{pham2024unibridge:,
    title={UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for
  Low-Resource Languages},
    author={Trinh Pham, Khoi M. Le, Luu Anh Tuan},
    journal={arXiv preprint arXiv:2406.09717},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.09717},
    primaryClass={cs.CL}
}