Cross-Lingual Prompting for Swiss to Arabic: a Position Paper

EasyChair Preprint 14508

Abstract

This paper explores the application of cross-lingual prompting techniques in the context of machine translation between Swiss German and Arabic. Leveraging advancements in large language models and cross-lingual learning, we propose a novel approach that enhances translation quality by integrating prompting mechanisms. This study not only highlights the technical intricacies of translating between languages with distinct linguistic properties but also assesses the societal implications of improved translation technologies. The paper concludes with a discussion on the limitations and future directions of this research.

Keyphrases: Swiss-to-Arabic, cross-lingual learning, language models

@booklet{EasyChair:14508,
  author    = {Sarah Zhao},
  title     = {Cross-Lingual Prompting for Swiss to Arabic: a Position Paper},
  howpublished = {EasyChair Preprint 14508},
  year      = {EasyChair, 2024}}