CMU Multilingual NLP 2022 - Unsupervised Machine Translation

Explore unsupervised machine translation techniques in this 43-minute lecture by Graham Neubig. Delve into topics such as unsupervised pre-training for language models and sequence-to-sequence models, initialization methods including unsupervised word translation and adversarial techniques, and the fundamentals of phrase-based statistical MT. Learn about the training objectives and performance metrics for unsupervised MT systems, and understand the crucial role of back-translation in improving translation quality. Gain insights into approaches for tackling translation tasks without parallel data and discover methods for collecting or generating necessary data.