UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages

Trinh Pham, Khoi Le, Anh Tuan Luu

Abstract
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.
Anthology ID:
2024.acl-long.174
Volume:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Lun-Wei Ku, Andre Martins, Vivek Srikumar
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3168–3184
Language:
URL:
https://aclanthology.org/2024.acl-long.174
DOI:
Bibkey:
Cite (ACL):
Trinh Pham, Khoi Le, and Anh Tuan Luu. 2024. UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3168–3184, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages (Pham et al., ACL 2024)
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