تقرير
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
| العنوان: | UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages |
|---|---|
| المؤلفون: | Pham, Trinh, Le, Khoi M., Tuan, Luu Anh |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | 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. Comment: First two authors contribute equally. Accepted at ACL 2024 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.09717 |
| رقم الأكسشن: | edsarx.2406.09717 |
| قاعدة البيانات: | arXiv |
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