Leveraging Retrieval-Augmented LLM Prompting for Translating into the Low-Resource Mambai Language

This study explores the use of large language models (LLMs) for translating English into Mambai, a low-resource Austronesian language spoken in Timor-Leste, by leveraging a novel corpus derived from a Mambai language manual and additional sentences translated by a native speaker.