Cross-Lingual Embeddings are vector representations that align words or sentences from multiple languages into a common vector space. This alignment allows similar meanings across languages to be placed closer together. These embeddings facilitate multilingual tasks like translation, information retrieval, and transfer learning by providing a seamless way to understand and process different languages simultaneously. They help in languages with limited resources by leveraging knowledge from more resource-rich languages. Similar concepts include word embeddings and multilingual models.