Unsupervised Machine Translation

Unsupervised machine translation is a task in the field of natural language processing that aims to achieve automatic translation between different languages without using any parallel corpora. This technology explores the linguistic structures and semantic information within monolingual data to establish cross-lingual mapping models, thereby completing high-quality translation tasks under conditions lacking annotated data, making it of significant application value.