INSTANT LANGUAGE TRANSLATION APP FOR MIGRNAT WORKERS

Abstract

The rapid growth of communication and internet technologies has significantly advanced machinelearning-based translation, making it a powerful tool for preserving and interpreting ethnic classics. These texts, created within distinct historical and cultural contexts, reflect the values, traditions, and identities of various ethnic communities. This study explores translation technology through three key aspects: model definition, model training, and decoding strategies. By analyzing these components, the research highlights how modern translation systems can effectively process and interpret culturally rich content. Ethnic classics, available in diverse formats, hold substantial cultural and academic importance, and their translation promotes cross-cultural understanding and appreciation of global heritage. The study further emphasizes the role of comprehensive ethnic language corpora in improving translation accuracy. Performance is assessed using quantitative evaluation metrics, ensuring reliability and quality. Overall, this research demonstrates how machine translation can support cultural preservation while enhancing accessibility to ethnic literature worldwide.