Advanced Language Model-Based Translator for English-Vietnamese Translation

This paper introduces an innovative English-Vietnamese translation system powered by the Gemma-7B-IT language model and enhanced by the Advanced Language Model-based Translator (ALMA) methodology. Our system surpasses previous state-of-the-art models like VinAI Translate and Google Translate by over 12 BLEU points, achieving remarkable performance in handling complex linguistic contexts. This improvement stems from the superior flexibility and contextual understanding of LLMs integrated within our ALMA framework. The system demonstrates the practical application of our research in providing high-quality and contextually accurate translations. We present a robust training framework, experimental validation, and rigorous evaluation processes to solidify the effectiveness of our approach, highlighting the potential of LLMs for advancing the field of Vietnamese translation.