Welcome to the second session in Low-Resource NLP: Unsupervised Neural Machine Translation!
In the second iteration in this series, we recap some of the topics from the first session which covered topics such as Word Embeddings and their different types.
Then we proceed onto the main topic of this session, unsupervised neural machine translation. We explain the usage of cross-lingual embeddings and compare them against supervised cross-lingual embeddings. We analyse these two types of cross-lingual embeddings in greater detail.
The YouTube video can be found below, while the PowerPoint slides can be found in this link.