Bible Translation

Bible translation research leverages advancements in natural language processing (NLP) and machine learning to improve the efficiency and accuracy of translating biblical texts into diverse languages, particularly those with limited resources. Current efforts focus on developing multilingual corpora and employing neural machine translation (NMT) models, often incorporating strategies that account for language family relationships to enhance translation quality for low-resource languages. This research significantly impacts global accessibility to religious texts and provides valuable datasets and benchmarks for advancing NLP techniques in multilingual and low-resource language settings.