Multilingual Sentence Transformers

We’ve learned about how sentence transformers can be used to create high-quality vector representations of text. We can then use these vectors to find similar vectors, which can be used for many applications such as semantic search or topic modeling.

These models are very good at producing meaningful, information-dense vectors. But they don’t allow us to compare sentences across different languages.

This is a companion discussion topic for the original entry at