Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages

What this post added

Introduced a novel unsupervised machine translation approach that significantly improves accuracy (over 10 BLEU points) for low-resource languages by leveraging word embeddings, adversarial training for bilingual dictionary inference, and back translation with language models. This method allows translation without parallel text, using only monolingual data.